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2026-05-13T11:27:30.253318+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671650253_m1.jpg...
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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monitor_1
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
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click
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accessibility
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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34639
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34642
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1298
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1
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2026-05-13T11:27:30.257530+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671650257_m2.jpg...
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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monitor_2
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NULL
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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click
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
Close tab
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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34640
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NULL
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NULL
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NULL
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34643
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1297
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2
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2026-05-13T11:27:31.106626+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671651106_m1.jpg...
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Firefox
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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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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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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4611573115846506518
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click
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accessibility
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
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[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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NULL
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NULL
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NULL
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NULL
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34645
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1297
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3
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2026-05-13T11:27:32.893897+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671652893_m1.jpg...
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Firefox
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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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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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20891
JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Add or create work related to this Bug
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34643
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NULL
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NULL
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NULL
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34646
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1298
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3
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2026-05-13T11:27:32.914277+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671652914_m2.jpg...
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Firefox
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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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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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
Close tab
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
New Tab
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Epic - Add parent
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1692611653902120982
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click
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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34644
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NULL
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34648
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1298
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4
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2026-05-13T11:27:35.664197+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671655664_m2.jpg...
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Firefox
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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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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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Bug - Change work type
JY-20891
JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Description
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png...
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2266957499821586454
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click
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png...
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NULL
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34647
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1297
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4
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2026-05-13T11:27:35.664198+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671655664_m1.jpg...
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Firefox
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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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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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
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Description
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Edit Description, edit
Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
Steps to reproduce
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Edit Steps to reproduce, edit
Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
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With or without success the sender always receives a failure email
Expected outcome
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The text messages to be sent via email without failures
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944.png
13 May 2026, 02:26 pm
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Open image-20260513-072913.png
image-20260513-072
913.png
13 May 2026, 02:26 pm
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image-20260513-072
900.png
13 May 2026, 02:26 pm
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13 May 2026, 02:26 pm
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Open image-20260513-072433.png
image-20260513-072
433.png...
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button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXLink","text":"JY-20891","depth":15,"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"JY-20891","depth":17,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy link","depth":16,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Sidekick SMS issue- Summary, edit","depth":11,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"Sidekick SMS 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prospects.","depth":14,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect (+64275138300).","depth":14,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"To send the text message, he replied to the email he got when the prospect texted him first:","depth":14,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open image-20260513-072619.png","depth":14,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"And this is the email he got after replying to the 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Below are the failure messages and the result of our testing:","depth":14,"bounds":{"left":0.00625,"top":0.0,"width":0.753125,"height":0.04611111},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open image-20260513-072900.png","depth":14,"bounds":{"left":0.00625,"top":0.06111111,"width":0.16354166,"height":0.020555556},"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open image-20260513-072913.png","depth":14,"bounds":{"left":0.18541667,"top":0.41944444,"width":0.16145833,"height":0.020555556},"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open image-20260513-072944.png","depth":14,"bounds":{"left":0.25902778,"top":0.6488889,"width":0.16388889,"height":0.020555556},"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.","depth":14,"bounds":{"left":0.00625,"top":0.8788889,"width":0.77013886,"height":0.04611111},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏","depth":14,"bounds":{"left":0.00625,"top":0.94555557,"width":0.76319444,"height":0.047222223},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Steps to reproduce","depth":12,"bounds":{"left":0.0048611113,"top":1.0,"width":0.088541664,"height":-0.023888946},"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Steps to reproduce","depth":13,"bounds":{"left":0.0048611113,"top":1.0,"width":0.088541664,"height":-0.024999976},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXMenuButton","text":"More information about","depth":12,"bounds":{"left":0.09618056,"top":1.0,"width":0.011111111,"height":-0.026666641},"on_screen":false,"help_text":"","role_description":"menu button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit Steps to reproduce, 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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-33671
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jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20891
JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Description
Description
Edit Description, edit
Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
Steps to reproduce
More information about
Edit Steps to reproduce, edit
Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
More information about
Edit Actual outcome
With or without success the sender always receives a failure email
Expected outcome
More information about
Edit Expected outcome
The text messages to be sent via email without failures
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13 May 2026, 02:26 pm
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13 May 2026, 02:26 pm
image-20260513-072913.png — Download
image-20260513-072913.png — Delete
Open image-20260513-072900.png
image-20260513-072
900.png
13 May 2026, 02:26 pm
image-20260513-072900.png — Download
image-20260513-072900.png — Delete
Open image-20260513-072619.png
image-20260513-072
619.png
13 May 2026, 02:26 pm
image-20260513-072619.png — Download
image-20260513-072619.png — Delete
Open image-20260513-072433.png
image-20260513-072
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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monitor_1
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[JY-20891] Sidekick SMS issue - Jira
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JY-20891
JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Description
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
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Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
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With or without success the sender always receives a failure email
Expected outcome
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The text messages to be sent via email without failures
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13 May 2026, 02:26 pm
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6004944640783382710
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click
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Description
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
Steps to reproduce
More information about
Edit Steps to reproduce, edit
Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
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Edit Actual outcome
With or without success the sender always receives a failure email
Expected outcome
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Edit Expected outcome
The text messages to be sent via email without failures
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13 May 2026, 02:26 pm
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Open image-20260513-072900.png
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13 May 2026, 02:26 pm
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[JY-20891] Sidekick SMS issue - Jira — Work
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jiminny.atlassian.net/browse/JY-20891
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monitor_2
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
Close tab
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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click
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Add or create work related to this Bug...
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34648
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NULL
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NULL
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NULL
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34651
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1298
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6
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2026-05-13T11:28:07.331095+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671687331_m2.jpg...
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Firefox
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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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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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
Close tab
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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9168516666592966678
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idle
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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NULL
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NULL
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NULL
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34652
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1297
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6
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2026-05-13T11:28:07.340617+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671687340_m1.jpg...
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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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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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Dependabot alerts · jiminny/app
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[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20891
JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Description
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
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Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
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With or without success the sender always receives a failure email
Expected outcome
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The text messages to be sent via email without failures
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13 May 2026, 02:26 pm
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6004944640783382710
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idle
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Dependabot alerts · jiminny/app
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[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
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Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
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With or without success the sender always receives a failure email
Expected outcome
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The text messages to be sent via email without failures
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13 May 2026, 02:26 pm
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13 May 2026, 02:26 pm
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[JY-20891] Sidekick SMS issue - Jira — Work
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
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NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
Close tab
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
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Description
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34651
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NULL
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NULL
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NULL
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34654
|
1297
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7
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2026-05-13T11:28:12.050091+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671692050_m1.jpg...
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Firefox
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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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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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
Close tab
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
New Tab
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[JY-20891] Sidekick SMS issue - Jira — Work
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jiminny.atlassian.net/browse/JY-20891
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
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[SRD-6848] Sidek Usage | Windsurf
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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Usage | Windsurf
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[SRD-6848] Sidek Usage | Windsurf
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-33671
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jiminny/app/backend-code - Vanta
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NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Description
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
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Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
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With or without success the sender always receives a failure email
Expected outcome
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The text messages to be sent via email without failures
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13 May 2026, 02:26 pm...
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🙏","depth":14,"bounds":{"left":0.00625,"top":0.94555557,"width":0.76319444,"height":0.047222223},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Steps to reproduce","depth":12,"bounds":{"left":0.0048611113,"top":1.0,"width":0.088541664,"height":-0.023888946},"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Steps to reproduce","depth":13,"bounds":{"left":0.0048611113,"top":1.0,"width":0.088541664,"height":-0.024999976},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXMenuButton","text":"More information about","depth":12,"bounds":{"left":0.09618056,"top":1.0,"width":0.011111111,"height":-0.026666641},"on_screen":false,"help_text":"","role_description":"menu button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit Steps to reproduce, 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outcome","depth":13,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"With or without success the sender always receives a failure email","depth":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Expected outcome","depth":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXMenuButton","text":"More information about","depth":12,"on_screen":false,"help_text":"","role_description":"menu button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit Expected outcome","depth":13,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"The text messages to be sent via email without failures","depth":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Collapse Attachments Attachments 5 More actions for attachments Add Attachment","depth":11,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse Attachments","depth":13,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Collapse Attachments","depth":15,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Attachments","depth":14,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"5","depth":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXMenuButton","text":"More actions for 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Delete","depth":17,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open image-20260513-072433.png","depth":16,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"image-20260513-072","depth":20,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"433.png","depth":20,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"13 May 2026, 02:26 pm","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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-5179978743504976250
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6004944636488415414
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idle
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20891
JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Add or create work related to this Bug
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Collapse Key details Key details
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Key details
Description
Description
Edit Description, edit
Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
Steps to reproduce
More information about
Edit Steps to reproduce, edit
Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
More information about
Edit Actual outcome
With or without success the sender always receives a failure email
Expected outcome
More information about
Edit Expected outcome
The text messages to be sent via email without failures
Collapse Attachments Attachments 5 More actions for attachments Add Attachment
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5
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Add Attachment
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Open image-20260513-072944.png
image-20260513-072
944.png
13 May 2026, 02:26 pm
image-20260513-072944.png — Download
image-20260513-072944.png — Delete
Open image-20260513-072913.png
image-20260513-072
913.png
13 May 2026, 02:26 pm
image-20260513-072913.png — Download
image-20260513-072913.png — Delete
Open image-20260513-072900.png
image-20260513-072
900.png
13 May 2026, 02:26 pm
image-20260513-072900.png — Download
image-20260513-072900.png — Delete
Open image-20260513-072619.png
image-20260513-072
619.png
13 May 2026, 02:26 pm
image-20260513-072619.png — Download
image-20260513-072619.png — Delete
Open image-20260513-072433.png
image-20260513-072
433.png
13 May 2026, 02:26 pm...
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34657
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1298
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9
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2026-05-13T11:28:42.460952+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671722460_m2.jpg...
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Firefox
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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monitor_2
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NULL
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Bug - Change work type
JY-20891
JY-20891
Copy link
Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
Add or create work related to this Bug
Add or create work related to this Bug
View app actions
View app actions
Collapse Key details Key details
Collapse Key details
Collapse Key details
Key details
Description
Description
Edit Description, edit
Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
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Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
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With or without success the sender always receives a failure email
Expected outcome
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The text messages to be sent via email without failures
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13 May 2026, 02:26 pm
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but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.","depth":14,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏","depth":14,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Steps to reproduce","depth":12,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Steps to 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Download","depth":17,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"image-20260513-072944.png — Delete","depth":17,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open image-20260513-072913.png","depth":16,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"image-20260513-072","depth":20,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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6013951840038123702
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idle
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Collapse Key details Key details
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Key details
Description
Description
Edit Description, edit
Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
Steps to reproduce
More information about
Edit Steps to reproduce, edit
Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
More information about
Edit Actual outcome
With or without success the sender always receives a failure email
Expected outcome
More information about
Edit Expected outcome
The text messages to be sent via email without failures
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Open image-20260513-072944.png
image-20260513-072
944.png
13 May 2026, 02:26 pm
image-20260513-072944.png — Download
image-20260513-072944.png — Delete
Open image-20260513-072913.png
image-20260513-072...
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34655
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34658
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1297
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9
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2026-05-13T11:29:12.736636+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671752736_m1.jpg...
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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monitor_1
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
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Description
Description
Edit Description, edit
Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
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I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
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Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
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With or without success the sender always receives a failure email
Expected outcome
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The text messages to be sent via email without failures
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button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXLink","text":"JY-20891","depth":15,"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"JY-20891","depth":17,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy link","depth":16,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Sidekick SMS issue- Summary, edit","depth":11,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"Sidekick SMS issue","depth":11,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Sidekick SMS issue","depth":12,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXMenuButton","text":"Add or create work related to this Bug","depth":12,"on_screen":true,"help_text":"","role_description":"menu button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Add or create work related to this Bug","depth":14,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXMenuButton","text":"View app actions","depth":12,"on_screen":true,"help_text":"","role_description":"menu button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"View app 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prospects.","depth":14,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect (+64275138300).","depth":14,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"To send the text message, he replied to the email he got when the prospect texted him first:","depth":14,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open image-20260513-072619.png","depth":14,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"And this is the email he got after replying to the 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Below are the failure messages and the result of our testing:","depth":14,"bounds":{"left":0.00625,"top":0.0,"width":0.753125,"height":0.04611111},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open image-20260513-072900.png","depth":14,"bounds":{"left":0.00625,"top":0.06111111,"width":0.16354166,"height":0.020555556},"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open image-20260513-072913.png","depth":14,"bounds":{"left":0.18541667,"top":0.41944444,"width":0.16145833,"height":0.020555556},"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open 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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
Add or create work related to this Bug
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Description
Description
Edit Description, edit
Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
Steps to reproduce
More information about
Edit Steps to reproduce, edit
Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
More information about
Edit Actual outcome
With or without success the sender always receives a failure email
Expected outcome
More information about
Edit Expected outcome
The text messages to be sent via email without failures
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13 May 2026, 02:26 pm
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Open image-20260513-072913.png
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13 May 2026, 02:26 pm
image-20260513-072913.png — Download
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Open image-20260513-072900.png
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13 May 2026, 02:26 pm
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13 May 2026, 02:26 pm
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2026-05-13T11:29:12.829650+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671752829_m2.jpg...
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[JY-20891] Sidekick SMS issue - Jira — Work
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jiminny.atlassian.net/browse/JY-20891
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monitor_2
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20891
JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
Add or create work related to this Bug
Add or create work related to this Bug
View app actions
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Collapse Key details Key details
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Description
Description
Edit Description, edit
Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
Steps to reproduce
More information about
Edit Steps to reproduce, edit
Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
More information about
Edit Actual outcome
With or without success the sender always receives a failure email
Expected outcome
More information about
Edit Expected outcome...
|
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team,","depth":14,"bounds":{"left":0.27327126,"top":0.26097366,"width":0.022273935,"height":0.01396648},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.","depth":14,"bounds":{"left":0.27327126,"top":0.2897047,"width":0.37184176,"height":0.03312051},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect (+64275138300).","depth":14,"bounds":{"left":0.27327126,"top":0.33758977,"width":0.35821143,"height":0.01396648},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"To send the text message, he replied to the email he got when the prospect texted him first:","depth":14,"bounds":{"left":0.27327126,"top":0.36632082,"width":0.20113032,"height":0.01396648},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open image-20260513-072619.png","depth":14,"bounds":{"left":0.27327126,"top":0.4046289,"width":0.07712766,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"And this is the email he got after replying to the email:","depth":14,"bounds":{"left":0.27327126,"top":0.66201115,"width":0.11801862,"height":0.01396648},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open image-20260513-072433.png","depth":14,"bounds":{"left":0.27327126,"top":0.70031923,"width":0.078125,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Reportedly, the text message he tried sending was only two words long.","depth":14,"bounds":{"left":0.27327126,"top":0.9577015,"width":0.15807846,"height":0.01396648},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:","depth":14,"bounds":{"left":0.27327126,"top":0.98643255,"width":0.36053857,"height":0.013567448},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open image-20260513-072900.png","depth":14,"bounds":{"left":0.27327126,"top":1.0,"width":0.07829122,"height":-0.04389465},"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open image-20260513-072913.png","depth":14,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Open image-20260513-072944.png","depth":14,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.","depth":14,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏","depth":14,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Steps to reproduce","depth":12,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Steps to reproduce","depth":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXMenuButton","text":"More information about","depth":12,"on_screen":false,"help_text":"","role_description":"menu button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit Steps to reproduce, edit","depth":12,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Start an SMS conversation with another Jiminny user and reply to each other via email.","depth":12,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Actual outcome","depth":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXMenuButton","text":"More information about","depth":12,"on_screen":false,"help_text":"","role_description":"menu button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit Actual outcome","depth":13,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"With or without success the sender always receives a failure email","depth":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Expected outcome","depth":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXMenuButton","text":"More information about","depth":12,"on_screen":false,"help_text":"","role_description":"menu button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit Expected outcome","depth":13,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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4549027945281906321
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8601269825962342454
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idle
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
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NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
Steps to reproduce
More information about
Edit Steps to reproduce, edit
Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
More information about
Edit Actual outcome
With or without success the sender always receives a failure email
Expected outcome
More information about
Edit Expected outcome...
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NULL
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NULL
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34661
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1298
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2026-05-13T11:29:36.972473+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671776972_m2.jpg...
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Firefox
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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monitor_2
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NULL
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NULL
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Usage | Windsurf
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[SRD-6848] Sidek Usage | Windsurf
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[SRD-6848] Sidekick SMS issue - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6848] Sidek Usage | Windsurf
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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[JY-20891] Sidekick SMS issue - Jira — Work
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Usage | Windsurf
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[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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[JY-20891] Sidekick SMS issue - Jira
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JY-20891
JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Description
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
Steps to reproduce...
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8608025775226451990
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click
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accessibility
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Description
Description
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
Steps to reproduce...
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1297
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11
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2026-05-13T11:29:38.697924+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671778697_m1.jpg...
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[JY-20891] Sidekick SMS issue - Jira — Work
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jiminny.atlassian.net/browse/JY-20891
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monitor_1
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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34660
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NULL
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34663
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1298
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2026-05-13T11:29:38.721576+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671778721_m2.jpg...
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[JY-20891] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/JY-20891
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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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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
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[SRD-6848] Sidek Usage | Windsurf
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Usage | Windsurf
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[SRD-6848] Sidekick SMS issue - Jira
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Dependabot alerts · jiminny/prophet
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jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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[JY-20891] Sidekick SMS issue - Jira
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JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
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Description
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
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Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
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With or without success the sender always receives a failure email
Expected outcome
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The text messages to be sent via email without failures
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image-20260513-072944.png","depth":14,"bounds":{"left":0.25902778,"top":0.6488889,"width":0.16388889,"height":0.020555556},"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.","depth":14,"bounds":{"left":0.00625,"top":0.8788889,"width":0.77013886,"height":0.04611111},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏","depth":14,"bounds":{"left":0.00625,"top":0.94555557,"width":0.76319444,"height":0.047222223},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Steps to reproduce","depth":12,"bounds":{"left":0.0048611113,"top":1.0,"width":0.088541664,"height":-0.023888946},"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Steps to reproduce","depth":13,"bounds":{"left":0.0048611113,"top":1.0,"width":0.088541664,"height":-0.024999976},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXMenuButton","text":"More information about","depth":12,"bounds":{"left":0.09618056,"top":1.0,"width":0.011111111,"height":-0.026666641},"on_screen":false,"help_text":"","role_description":"menu button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit Steps to reproduce, edit","depth":12,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Start an SMS conversation with another Jiminny user and reply to each other via email.","depth":12,"bounds":{"left":0.0048611113,"top":1.0,"width":0.45104167,"height":-0.057222247},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Actual outcome","depth":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXMenuButton","text":"More information about","depth":12,"on_screen":false,"help_text":"","role_description":"menu button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit Actual 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subtask","depth":14,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Collapse Linked work items Linked work items Link a work item","depth":11,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXButton","text":"Collapse Linked work items","depth":13,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-33671
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jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Description
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
Steps to reproduce
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Edit Steps to reproduce, edit
Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
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Edit Actual outcome
With or without success the sender always receives a failure email
Expected outcome
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The text messages to be sent via email without failures
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13 May 2026, 02:26 pm
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13 May 2026, 02:26 pm
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Open image-20260513-072433.png
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13 May 2026, 02:26 pm
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[JY-20891] Sidekick SMS issue - Jira — Work
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jiminny.atlassian.net/browse/JY-20891
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Jiminny (New) Jiminny (New)
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Epic - Add parent
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Bug - Change work type
JY-20891
JY-20891
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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[JY-20891] Sidekick SMS issue - Jira
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
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Description
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
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Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
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With or without success the sender always receives a failure email
Expected outcome
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The text messages to be sent via email without failures
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
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[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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[JY-20891] Sidekick SMS issue - Jira
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JY-20891
JY-20891
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Sidekick SMS issue- Summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Description
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Hey team,
Scott de Zoeten from Reward Gateway-Edenred reached out to complain that he got an automated email stating that his SMS from the 10th of May was not sent to one of his prospects.
I tried investigating (via CloudWatch logs, Twilio messaging logs, Sentry, etc), but I couldn’t find any trace of his attempted reply to that prospect ([PHONE]).
To send the text message, he replied to the email he got when the prospect texted him first:
Open image-20260513-072619.png
And this is the email he got after replying to the email:
Open image-20260513-072433.png
Reportedly, the text message he tried sending was only two words long.
Mario and I performed a couple of tests, and despite receiving each reply via email, we both got the same emails as Scott, stating that the messages were not sent. Below are the failure messages and the result of our testing:
Open image-20260513-072900.png
Open image-20260513-072913.png
Open image-20260513-072944.png
I couldn’t help but notice that, unlike with Mario’s reply, my reply via email included my email signature by default, and this can significantly increase the size of the text message, but this shouldn’t be an issue if the SMS gets segmented when a certain threshold is reached, making it a so-called long SMS.
Can someone please check why we are always receiving these failure emails, even though the messages were sent, and of course, why Scott’s text message was not sent at all? 🙏
Steps to reproduce
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Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
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With or without success the sender always receives a failure email
Expected outcome
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The text messages to be sent via email without failures
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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[SRD-6848] Sidekick SMS issue - Jira
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jiminny/app/backend-code - Vanta
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NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Dependabot alerts · jiminny/app
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[JY-20891] Sidekick SMS issue - Jira
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Usage | Windsurf
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[SRD-6848] Sidekick SMS issue - Jira
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Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
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NVD - cve-2026-33671
NVD - cve-2026-33671
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jiminny/app/backend-code - Vanta
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NVD - cve-2026-6722
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
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NVD - cve-2026-33671
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
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[JY-20891] Sidekick SMS issue - Jira
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Usage | Windsurf
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[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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NVD - cve-2026-33671
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
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[JY-19958] Upgrade BE libraries - May - Jira
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Findings by vulnerability - Vanta
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NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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34671
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34673
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1298
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18
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2026-05-13T11:29:55.818518+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671795818_m2.jpg...
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Platform Sprint 4 Q2 - Platform Team - Scrum Board Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira — Work...
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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3385626665098904629
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4557393605639387166
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visual_change
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Platform Sprint 4 Q2 - Platform Team - Scrum Board Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira — Work...
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a SS is deleted but is used in AJ Report
Notify the user if a SS is deleted but is used in AJ Report
JY-20615 • Backlog
JY-20615 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
More information about this user
Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a Panorama prompts is deleted but is used in AJ Report
Notify the user if a Panorama prompts is deleted but is used in AJ Report
JY-20676 • Backlog
JY-20676 • Backlog
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Galya Dimitrova assigned a work item to you 4 hours ago
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Galya Dimitrova assigned a work item to you4 hours ago
Galya Dimitrova assigned a work item to you
4 hours ago
Upgrade BE libraries - May
Upgrade BE libraries - May
JY-19958 • Backlog
JY-19958 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Allow owner's role to be selected when setting up a trial
Allow owner's role to be selected when setting up a trial
JY-20613 • Backlog
JY-20613 • Backlog
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Stefka Stoyanova unassigned you from a bug 4 hours ago
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Stefka Stoyanova unassigned you from a bug4 hours ago
Stefka Stoyanova unassigned you from a bug
4 hours ago
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
JY-20725 • Ready for QA
JY-20725 • Ready for QA
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+5 updates from Stefka Stoyanova and others
+5 updates from Stefka Stoyanova and others
Yesterday
Yesterday
Stefka Stoyanova changed a bug from In Dev to Deployed 21 hours ago
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Stefka Stoyanova changed a bug from In Dev to Deployed21 hours ago
Stefka Stoyanova changed a bug from In Dev to Deployed
21 hours ago
User Pilot not receiving events on report generated
User Pilot not receiving events on report generated
JY-20773 • Deployed
JY-20773 • Deployed
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Older
Older
Nikolay Yankov changed a bug from Code Review to Deployed 2 days ago
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Nikolay Yankov changed a bug from Code Review to Deployed2 days ago
Nikolay Yankov changed a bug from Code Review to Deployed
2 days ago
Move Ask Jiminny reports to separated datadog metric
Move Ask Jiminny reports to separated datadog metric
JY-20818 • Deployed
JY-20818 • Deployed
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+1 update from Galya Dimitrova
+1 update from Galya Dimitrova
Stefka Stoyanova updated a story 2 weeks ago
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Stefka Stoyanova updated a story2 weeks ago
Stefka Stoyanova updated a story
2 weeks ago
Send email notification when the report is not generated
Send email notification when the report is not generated
JY-20157 • Deployed
JY-20157 • Deployed
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+6 updates from Stefka Stoyanova and others
+6 updates from Stefka Stoyanova and others
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Notify the user if a SS is deleted but is used in AJ Report
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JY-20615 • Backlog
JY-20615 • Backlog
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Notify the user if a Panorama prompts is deleted but is used in AJ Report
Notify the user if a Panorama prompts is deleted but is used in AJ Report
JY-20676 • Backlog
JY-20676 • Backlog
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Upgrade BE libraries - May
Upgrade BE libraries - May
JY-19958 • Backlog
JY-19958 • Backlog
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Allow owner's role to be selected when setting up a trial
Allow owner's role to be selected when setting up a trial
JY-20613 • Backlog
JY-20613 • Backlog
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Stefka Stoyanova unassigned you from a bug
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[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
JY-20725 • Ready for QA
JY-20725 • Ready for QA
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+5 updates from Stefka Stoyanova and others
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Stefka Stoyanova changed a bug from In Dev to Deployed 21 hours ago
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Stefka Stoyanova changed a bug from In Dev to Deployed21 hours ago
Stefka Stoyanova changed a bug from In Dev to Deployed
21 hours ago
User Pilot not receiving events on report generated
User Pilot not receiving events on report generated
JY-20773 • Deployed
JY-20773 • Deployed
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Nikolay Yankov changed a bug from Code Review to Deployed 2 days ago
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Nikolay Yankov changed a bug from Code Review to Deployed2 days ago
Nikolay Yankov changed a bug from Code Review to Deployed
2 days ago
Move Ask Jiminny reports to separated datadog metric
Move Ask Jiminny reports to separated datadog metric
JY-20818 • Deployed
JY-20818 • Deployed
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+1 update from Galya Dimitrova
+1 update from Galya Dimitrova
Stefka Stoyanova updated a story 2 weeks ago
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Stefka Stoyanova updated a story
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Send email notification when the report is not generated
Send email notification when the report is not generated
JY-20157 • Deployed
JY-20157 • Deployed
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+6 updates from Stefka Stoyanova and others
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Close tab
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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4 hours ago
Notify the user if a SS is deleted but is used in AJ Report
Notify the user if a SS is deleted but is used in AJ Report
JY-20615 • Backlog
JY-20615 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a Panorama prompts is deleted but is used in AJ Report
Notify the user if a Panorama prompts is deleted but is used in AJ Report
JY-20676 • Backlog
JY-20676 • Backlog
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Galya Dimitrova assigned a work item to you 4 hours ago
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Galya Dimitrova assigned a work item to you4 hours ago
Galya Dimitrova assigned a work item to you
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Upgrade BE libraries - May
Upgrade BE libraries - May
JY-19958 • Backlog
JY-19958 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Allow owner's role to be selected when setting up a trial
Allow owner's role to be selected when setting up a trial
JY-20613 • Backlog
JY-20613 • Backlog
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Stefka Stoyanova unassigned you from a bug 4 hours ago
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Stefka Stoyanova unassigned you from a bug4 hours ago
Stefka Stoyanova unassigned you from a bug
4 hours ago
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
JY-20725 • Ready for QA
JY-20725 • Ready for QA
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+5 updates from Stefka Stoyanova and others
+5 updates from Stefka Stoyanova and others
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Yesterday
Stefka Stoyanova changed a bug from In Dev to Deployed 21 hours ago
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Stefka Stoyanova changed a bug from In Dev to Deployed21 hours ago
Stefka Stoyanova changed a bug from In Dev to Deployed
21 hours ago
User Pilot not receiving events on report generated
User Pilot not receiving events on report generated
JY-20773 • Deployed
JY-20773 • Deployed
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Usage | Windsurf
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[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Notify the user if a SS is deleted but is used in AJ Report
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JY-20615 • Backlog
JY-20615 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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JY-20676 • Backlog
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Upgrade BE libraries - May
Upgrade BE libraries - May
JY-19958 • Backlog
JY-19958 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Allow owner's role to be selected when setting up a trial
Allow owner's role to be selected when setting up a trial
JY-20613 • Backlog
JY-20613 • Backlog
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Stefka Stoyanova unassigned you from a bug 4 hours ago
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Stefka Stoyanova unassigned you from a bug4 hours ago
Stefka Stoyanova unassigned you from a bug
4 hours ago
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
JY-20725 • Ready for QA
JY-20725 • Ready for QA
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+5 updates from Stefka Stoyanova and others
+5 updates from Stefka Stoyanova and others
Yesterday
Yesterday
Stefka Stoyanova changed a bug from In Dev to Deployed 21 hours ago
More information about this user
Stefka Stoyanova changed a bug from In Dev to Deployed21 hours ago
Stefka Stoyanova changed a bug from In Dev to Deployed
21 hours ago
User Pilot not receiving events on report generated
User Pilot not receiving events on report generated
JY-20773 • Deployed
JY-20773 • Deployed
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Platform Sprint 4 Q2 - Platform Team - Scrum Board Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira — Work...
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a SS is deleted but is used in AJ Report
Notify the user if a SS is deleted but is used in AJ Report
JY-20615 • Backlog
JY-20615 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
More information about this user
Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a Panorama prompts is deleted but is used in AJ Report
Notify the user if a Panorama prompts is deleted but is used in AJ Report
JY-20676 • Backlog
JY-20676 • Backlog
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Galya Dimitrova assigned a work item to you 4 hours ago
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Galya Dimitrova assigned a work item to you4 hours ago
Galya Dimitrova assigned a work item to you
4 hours ago
Upgrade BE libraries - May...
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Close tab
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a SS is deleted but is used in AJ Report
Notify the user if a SS is deleted but is used in AJ Report
JY-20615 • Backlog
JY-20615 • Backlog
Mark as read
Galya Dimitrova assigned a story to you 4 hours ago
More information about this user
Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a Panorama prompts is deleted but is used in AJ Report
Notify the user if a Panorama prompts is deleted but is used in AJ Report
JY-20676 • Backlog
JY-20676 • Backlog
Mark as read
Galya Dimitrova assigned a work item to you 4 hours ago
More information about this user
Galya Dimitrova assigned a work item to you4 hours ago
Galya Dimitrova assigned a work item to you
4 hours ago
Upgrade BE libraries - May...
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34676
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1298
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22
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2026-05-13T11:30:08.314822+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671808314_m2.jpg...
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Platform Sprint 4 Q2 - Platform Team - Scrum Board Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira — Work...
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1
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jiminny.atlassian.net/jira/software/c/projects/JY/ jiminny.atlassian.net/jira/software/c/projects/JY/boards/37?selectedIssue=JY-20891...
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monitor_2
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Close tab
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a SS is deleted but is used in AJ Report
Notify the user if a SS is deleted but is used in AJ Report
JY-20615 • Backlog
JY-20615 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a Panorama prompts is deleted but is used in AJ Report
Notify the user if a Panorama prompts is deleted but is used in AJ Report
JY-20676 • Backlog
JY-20676 • Backlog
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Galya Dimitrova assigned a work item to you 4 hours ago
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Galya Dimitrova assigned a work item to you4 hours ago
Galya Dimitrova assigned a work item to you
4 hours ago
Upgrade BE libraries - May
Upgrade BE libraries - May
JY-19958 • Backlog
JY-19958 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Allow owner's role to be selected when setting up a trial
Allow owner's role to be selected when setting up a trial
JY-20613 • Backlog
JY-20613 • Backlog
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Stefka Stoyanova unassigned you from a bug 4 hours ago
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Stefka Stoyanova unassigned you from a bug4 hours ago
Stefka Stoyanova unassigned you from a bug
4 hours ago
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
JY-20725 • Ready for QA
JY-20725 • Ready for QA
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+5 updates from Stefka Stoyanova and others
+5 updates from Stefka Stoyanova and others
Yesterday
Yesterday
Stefka Stoyanova changed a bug from In Dev to Deployed 21 hours ago
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Stefka Stoyanova changed a bug from In Dev to Deployed21 hours ago
Stefka Stoyanova changed a bug from In Dev to Deployed
21 hours ago
User Pilot not receiving events on report generated
User Pilot not receiving events on report generated
JY-20773 • Deployed
JY-20773 • Deployed
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Older
Older
Nikolay Yankov changed a bug from Code Review to Deployed 2 days ago
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Nikolay Yankov changed a bug from Code Review to Deployed2 days ago
Nikolay Yankov changed a bug from Code Review to Deployed
2 days ago
Move Ask Jiminny reports to separated datadog metric
Move Ask Jiminny reports to separated datadog metric
JY-20818 • Deployed
JY-20818 • Deployed
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+1 update from Galya Dimitrova
+1 update from Galya Dimitrova
Stefka Stoyanova updated a story 2 weeks ago
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Stefka Stoyanova updated a story2 weeks ago
Stefka Stoyanova updated a story
2 weeks ago
Send email notification when the report is not generated
Send email notification when the report is not generated
JY-20157 • Deployed
JY-20157 • Deployed
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+6 updates from Stefka Stoyanova and others
+6 updates from Stefka Stoyanova and others
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20615 • Backlog
JY-20615 • Backlog
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Galya Dimitrova assigned a story to you
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Notify the user if a Panorama prompts is deleted but is used in AJ Report
Notify the user if a Panorama prompts is deleted but is used in AJ Report
JY-20676 • Backlog
JY-20676 • Backlog
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Upgrade BE libraries - May
Upgrade BE libraries - May
JY-19958 • Backlog
JY-19958 • Backlog
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Galya Dimitrova assigned a story to you
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Allow owner's role to be selected when setting up a trial
Allow owner's role to be selected when setting up a trial
JY-20613 • Backlog
JY-20613 • Backlog
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Stefka Stoyanova unassigned you from a bug4 hours ago
Stefka Stoyanova unassigned you from a bug
4 hours ago
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
JY-20725 • Ready for QA
JY-20725 • Ready for QA
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+5 updates from Stefka Stoyanova and others
+5 updates from Stefka Stoyanova and others
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Stefka Stoyanova changed a bug from In Dev to Deployed 21 hours ago
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Stefka Stoyanova changed a bug from In Dev to Deployed21 hours ago
Stefka Stoyanova changed a bug from In Dev to Deployed
21 hours ago
User Pilot not receiving events on report generated
User Pilot not receiving events on report generated
JY-20773 • Deployed
JY-20773 • Deployed
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Nikolay Yankov changed a bug from Code Review to Deployed 2 days ago
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Nikolay Yankov changed a bug from Code Review to Deployed2 days ago
Nikolay Yankov changed a bug from Code Review to Deployed
2 days ago
Move Ask Jiminny reports to separated datadog metric
Move Ask Jiminny reports to separated datadog metric
JY-20818 • Deployed
JY-20818 • Deployed
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+1 update from Galya Dimitrova
+1 update from Galya Dimitrova
Stefka Stoyanova updated a story 2 weeks ago
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Stefka Stoyanova updated a story2 weeks ago
Stefka Stoyanova updated a story
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Send email notification when the report is not generated
Send email notification when the report is not generated
JY-20157 • Deployed
JY-20157 • Deployed
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+6 updates from Stefka Stoyanova and others
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Close tab
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Galya Dimitrova assigned a story to you
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Notify the user if a SS is deleted but is used in AJ Report
Notify the user if a SS is deleted but is used in AJ Report
JY-20615 • Backlog
JY-20615 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a Panorama prompts is deleted but is used in AJ Report
Notify the user if a Panorama prompts is deleted but is used in AJ Report
JY-20676 • Backlog
JY-20676 • Backlog
Mark as read
Galya Dimitrova assigned a work item to you 4 hours ago
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Galya Dimitrova assigned a work item to you4 hours ago
Galya Dimitrova assigned a work item to you
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Upgrade BE libraries - May
Upgrade BE libraries - May
JY-19958 • Backlog
JY-19958 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Allow owner's role to be selected when setting up a trial
Allow owner's role to be selected when setting up a trial
JY-20613 • Backlog
JY-20613 • Backlog
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Stefka Stoyanova unassigned you from a bug 4 hours ago
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Stefka Stoyanova unassigned you from a bug4 hours ago
Stefka Stoyanova unassigned you from a bug
4 hours ago
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
JY-20725 • Ready for QA
JY-20725 • Ready for QA
Mark as read
+5 updates from Stefka Stoyanova and others
+5 updates from Stefka Stoyanova and others
Yesterday
Yesterday
Stefka Stoyanova changed a bug from In Dev to Deployed 21 hours ago
More information about this user
Stefka Stoyanova changed a bug from In Dev to Deployed21 hours ago
Stefka Stoyanova changed a bug from In Dev to Deployed
21 hours ago
User Pilot not receiving events on report generated
User Pilot not receiving events on report generated
JY-20773 • Deployed
JY-20773 • Deployed
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Nikolay Yankov changed a bug from Code Review to Deployed 2 days ago
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Nikolay Yankov changed a bug from Code Review to Deployed2 days ago
Nikolay Yankov changed a bug from Code Review to Deployed
2 days ago
Move Ask Jiminny reports to separated datadog metric
Move Ask Jiminny reports to separated datadog metric
JY-20818 • Deployed
JY-20818 • Deployed
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+1 update from Galya Dimitrova
+1 update from Galya Dimitrova
Stefka Stoyanova updated a story 2 weeks ago
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Stefka Stoyanova updated a story2 weeks ago
Stefka Stoyanova updated a story
2 weeks ago
Send email notification when the report is not generated
Send email notification when the report is not generated
JY-20157 • Deployed
JY-20157 • Deployed
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+6 updates from Stefka Stoyanova and others
+6 updates from Stefka Stoyanova and others
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Notify the user if a SS is deleted but is used in AJ Report
Notify the user if a SS is deleted but is used in AJ Report
JY-20615 • Backlog
JY-20615 • Backlog
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Galya Dimitrova assigned a story to you
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Notify the user if a Panorama prompts is deleted but is used in AJ Report
Notify the user if a Panorama prompts is deleted but is used in AJ Report
JY-20676 • Backlog
JY-20676 • Backlog
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Upgrade BE libraries - May
Upgrade BE libraries - May
JY-19958 • Backlog
JY-19958 • Backlog
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
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Allow owner's role to be selected when setting up a trial
Allow owner's role to be selected when setting up a trial
JY-20613 • Backlog
JY-20613 • Backlog
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Stefka Stoyanova unassigned you from a bug 4 hours ago
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Stefka Stoyanova unassigned you from a bug4 hours ago
Stefka Stoyanova unassigned you from a bug
4 hours ago
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
JY-20725 • Ready for QA
JY-20725 • Ready for QA
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+5 updates from Stefka Stoyanova and others
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Stefka Stoyanova changed a bug from In Dev to Deployed 21 hours ago
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Stefka Stoyanova changed a bug from In Dev to Deployed21 hours ago
Stefka Stoyanova changed a bug from In Dev to Deployed
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User Pilot not receiving events on report generated
User Pilot not receiving events on report generated
JY-20773 • Deployed
JY-20773 • Deployed
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Nikolay Yankov changed a bug from Code Review to Deployed2 days ago
Nikolay Yankov changed a bug from Code Review to Deployed
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Move Ask Jiminny reports to separated datadog metric
Move Ask Jiminny reports to separated datadog metric
JY-20818 • Deployed
JY-20818 • Deployed
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+1 update from Galya Dimitrova
+1 update from Galya Dimitrova
Stefka Stoyanova updated a story 2 weeks ago
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Stefka Stoyanova updated a story
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Send email notification when the report is not generated
Send email notification when the report is not generated
JY-20157 • Deployed
JY-20157 • Deployed
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+6 updates from Stefka Stoyanova and others
+6 updates from Stefka Stoyanova and others
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Notify the user if a SS is deleted but is used in AJ Report
Notify the user if a SS is deleted but is used in AJ Report
JY-20615 • Backlog
JY-20615 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a Panorama prompts is deleted but is used in AJ Report
Notify the user if a Panorama prompts is deleted but is used in AJ Report
JY-20676 • Backlog
JY-20676 • Backlog
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Galya Dimitrova assigned a work item to you 4 hours ago
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Galya Dimitrova assigned a work item to you4 hours ago
Galya Dimitrova assigned a work item to you
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Upgrade BE libraries - May
Upgrade BE libraries - May
JY-19958 • Backlog
JY-19958 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Allow owner's role to be selected when setting up a trial
Allow owner's role to be selected when setting up a trial
JY-20613 • Backlog
JY-20613 • Backlog
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Stefka Stoyanova unassigned you from a bug 4 hours ago
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Stefka Stoyanova unassigned you from a bug4 hours ago
Stefka Stoyanova unassigned you from a bug
4 hours ago
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
JY-20725 • Ready for QA
JY-20725 • Ready for QA
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+5 updates from Stefka Stoyanova and others
+5 updates from Stefka Stoyanova and others
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Stefka Stoyanova changed a bug from In Dev to Deployed 21 hours ago
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Stefka Stoyanova changed a bug from In Dev to Deployed21 hours ago
Stefka Stoyanova changed a bug from In Dev to Deployed
21 hours ago
User Pilot not receiving events on report generated
User Pilot not receiving events on report generated
JY-20773 • Deployed
JY-20773 • Deployed
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Nikolay Yankov changed a bug from Code Review to Deployed 2 days ago
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Nikolay Yankov changed a bug from Code Review to Deployed2 days ago
Nikolay Yankov changed a bug from Code Review to Deployed
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Move Ask Jiminny reports to separated datadog metric
Move Ask Jiminny reports to separated datadog metric
JY-20818 • Deployed
JY-20818 • Deployed
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+1 update from Galya Dimitrova
+1 update from Galya Dimitrova
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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JY-20615 • Backlog
JY-20615 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you
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Notify the user if a Panorama prompts is deleted but is used in AJ Report
Notify the user if a Panorama prompts is deleted but is used in AJ Report
JY-20676 • Backlog
JY-20676 • Backlog
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Upgrade BE libraries - May
Upgrade BE libraries - May
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Allow owner's role to be selected when setting up a trial
Allow owner's role to be selected when setting up a trial
JY-20613 • Backlog
JY-20613 • Backlog
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Stefka Stoyanova unassigned you from a bug4 hours ago
Stefka Stoyanova unassigned you from a bug
4 hours ago
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
JY-20725 • Ready for QA
JY-20725 • Ready for QA
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+5 updates from Stefka Stoyanova and others
+5 updates from Stefka Stoyanova and others
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Stefka Stoyanova changed a bug from In Dev to Deployed 21 hours ago
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Stefka Stoyanova changed a bug from In Dev to Deployed21 hours ago
Stefka Stoyanova changed a bug from In Dev to Deployed
21 hours ago
User Pilot not receiving events on report generated
User Pilot not receiving events on report generated
JY-20773 • Deployed
JY-20773 • Deployed
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Nikolay Yankov changed a bug from Code Review to Deployed 2 days ago
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Nikolay Yankov changed a bug from Code Review to Deployed2 days ago
Nikolay Yankov changed a bug from Code Review to Deployed
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Move Ask Jiminny reports to separated datadog metric
Move Ask Jiminny reports to separated datadog metric
JY-20818 • Deployed
JY-20818 • Deployed
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+1 update from Galya Dimitrova
+1 update from Galya Dimitrova
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Notify the user if a SS is deleted but is used in AJ Report
Notify the user if a SS is deleted but is used in AJ Report
JY-20615 • Backlog
JY-20615 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a Panorama prompts is deleted but is used in AJ Report
Notify the user if a Panorama prompts is deleted but is used in AJ Report
JY-20676 • Backlog
JY-20676 • Backlog
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Galya Dimitrova assigned a work item to you 4 hours ago
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Galya Dimitrova assigned a work item to you4 hours ago
Galya Dimitrova assigned a work item to you
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Upgrade BE libraries - May
Upgrade BE libraries - May
JY-19958 • Backlog
JY-19958 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
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Allow owner's role to be selected when setting up a trial
Allow owner's role to be selected when setting up a trial
JY-20613 • Backlog
JY-20613 • Backlog
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Stefka Stoyanova unassigned you from a bug 4 hours ago
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Stefka Stoyanova unassigned you from a bug4 hours ago
Stefka Stoyanova unassigned you from a bug
4 hours ago
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
JY-20725 • Ready for QA
JY-20725 • Ready for QA
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+5 updates from Stefka Stoyanova and others
+5 updates from Stefka Stoyanova and others
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Yesterday
Stefka Stoyanova changed a bug from In Dev to Deployed 21 hours ago
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Stefka Stoyanova changed a bug from In Dev to Deployed21 hours ago
Stefka Stoyanova changed a bug from In Dev to Deployed
21 hours ago
User Pilot not receiving events on report generated
User Pilot not receiving events on report generated
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a SS is deleted but is used in AJ Report
Notify the user if a SS is deleted but is used in AJ Report
JY-20615 • Backlog
JY-20615 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Notify the user if a Panorama prompts is deleted but is used in AJ Report
Notify the user if a Panorama prompts is deleted but is used in AJ Report
JY-20676 • Backlog
JY-20676 • Backlog
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Galya Dimitrova assigned a work item to you 4 hours ago
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Galya Dimitrova assigned a work item to you4 hours ago
Galya Dimitrova assigned a work item to you
4 hours ago
Upgrade BE libraries - May
Upgrade BE libraries - May
JY-19958 • Backlog
JY-19958 • Backlog
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Galya Dimitrova assigned a story to you 4 hours ago
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Galya Dimitrova assigned a story to you4 hours ago
Galya Dimitrova assigned a story to you
4 hours ago
Allow owner's role to be selected when setting up a trial
Allow owner's role to be selected when setting up a trial
JY-20613 • Backlog
JY-20613 • Backlog
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Stefka Stoyanova unassigned you from a bug 4 hours ago
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Stefka Stoyanova unassigned you from a bug4 hours ago
Stefka Stoyanova unassigned you from a bug
4 hours ago
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
[HubSpot] Optimise CRM rematching on delete hubspot accounts/contacts
JY-20725 • Ready for QA
JY-20725 • Ready for QA
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+5 updates from Stefka Stoyanova and others
+5 updates from Stefka Stoyanova and others
Yesterday
Yesterday
Stefka Stoyanova changed a bug from In Dev to Deployed 21 hours ago
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Stefka Stoyanova changed a bug from In Dev to Deployed21 hours ago
Stefka Stoyanova changed a bug from In Dev to Deployed
21 hours ago
User Pilot not receiving events on report generated
User Pilot not receiving events on report generated
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Platform Sprint 4 Q2 - Platform Team - Scrum Board Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira — Work...
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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1309816527110538841
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6860417596958021654
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visual_change
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[JY-20891] Sidekick SMS issue - Jira
[JY-20891] Sidekick SMS issue - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
[SRD-6849] Recorded call does not appear on the dashboard - Jira
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2026-05-13T11:30:16.246475+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671816246_m2.jpg...
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2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
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2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-","depth":4,"on_screen":true,"value":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.27027926,"top":1.0,"width":0.0944149,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.27227393,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.36469415,"top":1.0,"width":0.09424867,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.36668882,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.45894283,"top":1.0,"width":0.09424867,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4609375,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5531915,"top":1.0,"width":0.09424867,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.55518615,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.64744014,"top":1.0,"width":0.09424867,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.64943486,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.7280585,"top":1.0,"width":0.01861702,"height":-0.023144484},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"APP (-zsh)","depth":1,"bounds":{"left":0.4976729,"top":1.0,"width":0.024601065,"height":-0.02394259},"on_screen":true,"role_description":"text"}]...
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5457137724812098612
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-816202935180659232
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click
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accessibility
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NULL
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2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
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2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-","depth":4,"on_screen":true,"value":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.19722222,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.19722222,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.2013889,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.3940972,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.3982639,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.59097224,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.5951389,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.7878472,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.7920139,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95625,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"APP (-zsh)","depth":1,"bounds":{"left":0.475,"top":0.033333335,"width":0.05138889,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
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5457137724812098612
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-816202935180659232
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click
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accessibility
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NULL
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2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
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2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20891-","depth":4,"on_screen":true,"value":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20891-","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.19722222,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.19722222,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.2013889,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.3940972,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.3982639,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.59097224,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.5951389,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.7878472,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.7920139,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95625,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"APP (-zsh)","depth":1,"bounds":{"left":0.475,"top":0.033333335,"width":0.05138889,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
|
5457137724812098612
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-816202935180659232
|
idle
|
accessibility
|
NULL
|
2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
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2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20891-","depth":4,"on_screen":true,"value":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20891-","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.27027926,"top":1.0,"width":0.0944149,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.27227393,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.36469415,"top":1.0,"width":0.09424867,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.36668882,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.45894283,"top":1.0,"width":0.09424867,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4609375,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5531915,"top":1.0,"width":0.09424867,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.55518615,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.64744014,"top":1.0,"width":0.09424867,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.64943486,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.7280585,"top":1.0,"width":0.01861702,"height":-0.023144484},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"APP (-zsh)","depth":1,"bounds":{"left":0.4976729,"top":1.0,"width":0.024601065,"height":-0.02394259},"on_screen":true,"role_description":"text"}]...
|
5457137724812098612
|
-816202935180659232
|
idle
|
accessibility
|
NULL
|
2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
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2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20891-","depth":4,"on_screen":true,"value":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20891-","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.19722222,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.19722222,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.2013889,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.3940972,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.3982639,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.59097224,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.5951389,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.7878472,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.7920139,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95625,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"APP (-zsh)","depth":1,"bounds":{"left":0.475,"top":0.033333335,"width":0.05138889,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
|
5457137724812098612
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-816202935180659232
|
idle
|
accessibility
|
NULL
|
2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
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2026-05-13T11:31:17.626827+00:00
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2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
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[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20891-","depth":4,"on_screen":true,"value":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20891-","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.27027926,"top":1.0,"width":0.0944149,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.27227393,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.36469415,"top":1.0,"width":0.09424867,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.36668882,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.45894283,"top":1.0,"width":0.09424867,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.4609375,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.5531915,"top":1.0,"width":0.09424867,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.55518615,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.64744014,"top":1.0,"width":0.09424867,"height":-0.042298436},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.64943486,"top":1.0,"width":0.005319149,"height":-0.04549086},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.7280585,"top":1.0,"width":0.01861702,"height":-0.023144484},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"APP (-zsh)","depth":1,"bounds":{"left":0.4976729,"top":1.0,"width":0.024601065,"height":-0.02394259},"on_screen":true,"role_description":"text"}]...
|
5457137724812098612
|
-816202935180659232
|
idle
|
accessibility
|
NULL
|
2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
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2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20891-","depth":4,"on_screen":true,"value":"2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\n2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted\n2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted\n2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)\n2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)\n2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)\n2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2\n2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\n2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)\nzsh: terminated npx screenpipe@latest record\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/AutomatedReports/SendReportJob.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 2910, done.\nremote: Counting objects: 100% (1291/1291), done.\nremote: Compressing objects: 100% (277/277), done.\nremote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)\nReceiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.\nResolving deltas: 100% (1796/1796), completed with 296 local objects.\nFrom github.com:jiminny/app\n 35f036ace6..0bfd964b74 master -> origin/master\n fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n * [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging\n 8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n 58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n 0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit\n + 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR\n 6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n 7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app\n 89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas\n * [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 35f036ace6..0bfd964b74\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/JiminnyDebugCommand.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 35f036ace6..0bfd964b74\nFast-forward\n .windsurfrules | 169 +++++++++++----------\n CLAUDE.md | 1 +\n app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--\n app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-\n app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-\n app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++\n app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++\n app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++\n app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------\n app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-\n app/Component/ES/Worker/ActivityWorker.php | 73 ----------\n app/Component/ES/Worker/EntityWorker.php | 44 ------\n app/Component/ES/Worker/WorkerAmount.php | 60 --------\n app/Component/ES/Worker/WorkerInterface.php | 15 --\n app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----\n app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-\n app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----\n app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-\n app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++\n app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++\n app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +\n app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++\n app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-\n app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-\n app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +\n app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-\n app/Console/Commands/Activities/Copy.php | 2 +\n app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++\n app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---\n app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------\n app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---\n app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-\n app/Console/Commands/JiminnyDebugCommand.php | 7 +-\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---\n app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +\n app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-\n app/Http/Controllers/API/TeamAiAutomationController.php | 8 +\n app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--\n app/Http/Controllers/Settings/PlaybookController.php | 15 +-\n app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--\n app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-\n app/Jobs/Calendar/SetupCalendarSync.php | 21 +--\n app/Models/Activity/Transcription.php | 17 ++-\n app/Models/Participant.php | 1 +\n app/Repositories/Crm/ContactRepository.php | 69 +++++++--\n app/Repositories/ParticipantSpeechRepository.php | 13 +-\n app/Services/Activity/ParticipantsService.php | 19 ++-\n app/Services/Calendar/Command/ImportParticipants.php | 1 +\n app/Services/Calendar/GoogleCalendarService.php | 12 +-\n app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-\n app/Services/Crm/Close/Service.php | 22 ++-\n app/Services/Crm/Copper/Service.php | 12 +-\n app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--\n app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-\n app/Services/Crm/Pipedrive/Service.php | 17 ++-\n app/Services/Crm/Salesforce/Service.php | 42 ++++--\n app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------\n app/Services/RecallAI/Commands/ScheduleBotCommand.php | 39 ++++-\n app/Services/RecallAI/RecallAIService.php | 22 ++-\n composer.json | 2 +-\n composer.lock | 14 +-\n front-end/package.json | 4 +-\n front-end/src/components/Settings/OrgSettings/AiAutomation/CrmFilling/TemplateFieldForm.vue | 28 +++-\n front-end/src/components/Settings/OrgSettings/Playbooks/AddEditPlaybook.vue | 10 ++\n front-end/src/components/shared/PromptTester/PromptTester.vue | 12 +-\n front-end/src/components/shared/__tests__/PromptTester.spec.js | 35 +++++\n front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts | 37 +++++\n front-end/src/components/shared/modals/EntityPickerModal/useEntitiesCache.ts | 9 ++\n front-end/yarn.lock | 16 +-\n tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php | 534 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n tests/Feature/Services/Team/TeamDeleteHandlers/Retention/RetentionRepositoryHandlerTest.php | 1 +\n tests/Unit/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetFromTranscriptionTest.php | 28 ++--\n tests/Unit/Component/AiActivityType/Services/AiActivityTypeEligibilityCheckerTest.php | 103 ++++++++++++-\n tests/Unit/Component/AiAutomation/Actions/PrepareUpdateDtoActionTest.php | 91 ++++++++++++\n tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php | 124 ++++++++++++++++\n tests/Unit/Component/AiAutomation/TestCrmAiPromptServiceTest.php | 67 ++++++++-\n tests/Unit/Component/AiCallScoring/Services/AiCallScoringEligibilityCheckerTest.php | 55 +++++++\n tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php | 135 -----------------\n tests/Unit/Component/ES/Worker/ActivityWorkerTest.php | 174 ----------------------\n tests/Unit/Component/ES/Worker/EntityWorkerTest.php | 97 ------------\n tests/Unit/Component/ES/Worker/WorkerAmountTest.php | 116 ---------------\n tests/Unit/Component/Encoding/Service/GenerateSpeechFromSilenceServiceTest.php | 171 +++++++++++-----------\n tests/Unit/Component/LanguageDetection/Services/FindSpeechTimeServiceTest.php | 20 +--\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php | 75 ++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleterTest.php | 63 ++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesProviderTest.php | 134 +++++++++++++++++\n tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesUploaderTest.php | 57 ++++++++\n tests/Unit/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesServiceTest.php | 51 ++++---\n tests/Unit/Component/Transcription/Diarization/Source/MeetingBotSourceTest.php | 29 ++--\n tests/Unit/Contracts/Services/Calendar/CalendarTraitTest.php | 56 ++++++-\n tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php | 159 ++++++++++++++++++++\n tests/Unit/Jobs/Activity/Import/ImportTwilioVideoSpeechesJobTest.php | 22 +--\n tests/Unit/Jobs/Activity/Import/IsActivityReadyForProcessingJobTest.php | 26 ++--\n tests/Unit/Jobs/Calendar/SetupCalendarSyncTest.php | 25 ----\n tests/Unit/Services/Activity/ParticipantsServiceTest.php | 12 +-\n tests/Unit/Services/Calendar/Command/ImportParticipantsTest.php | 6 +-\n tests/Unit/Services/Calendar/GoogleCalendarServiceTest.php | 116 +++++++++++++++\n tests/Unit/Services/Crm/Close/ServiceTest.php | 165 +++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceTest.php | 272 +++++++++++++++++++++++++++++++++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTest.php | 25 +++-\n tests/Unit/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTraitMatchActivitiesTest.php | 3 +-\n tests/Unit/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTraitOpportunitiesTest.php | 40 +++++\n tests/Unit/Services/Crm/Pipedrive/ImportOpportunityMatchActivitiesTest.php | 2 +\n tests/Unit/Services/Crm/Salesforce/ServiceTest.php | 139 ++++++++++++++++++\n tests/Unit/Services/Mail/Office/EmailApiClientTest.php | 195 ++++++++++---------------\n tests/Unit/Services/RecallAI/RecallAIServiceTest.php | 24 +--\n 113 files changed, 4143 insertions(+), 1740 deletions(-)\n create mode 120000 CLAUDE.md\n create mode 100644 app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php\n delete mode 100644 app/Component/ES/ElasticSearchWorkerManager.php\n delete mode 100644 app/Component/ES/Worker/ActivityWorker.php\n delete mode 100644 app/Component/ES/Worker/EntityWorker.php\n delete mode 100644 app/Component/ES/Worker/WorkerAmount.php\n delete mode 100644 app/Component/ES/Worker/WorkerInterface.php\n create mode 100644 app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php\n create mode 100644 app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php\n create mode 100644 app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php\n delete mode 100644 app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php\n create mode 100644 front-end/src/components/shared/modals/EntityPickerModal/__tests__/useEntitiesCache.spec.ts\n create mode 100644 tests/Feature/Component/Nudge/ProcessOrganisationImmediateNudgesJobTest.php\n create mode 100644 tests/Unit/Component/AiAutomation/Services/CrmFillingEligibilityCheckerTest.php\n delete mode 100644 tests/Unit/Component/ES/ElasticSearchWorkerManagerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/ActivityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/EntityWorkerTest.php\n delete mode 100644 tests/Unit/Component/ES/Worker/WorkerAmountTest.php\n create mode 100644 tests/Unit/Component/ParticipantSpeech/Services/ParticipantSpeechesCreatorTest.php\n create mode 100644 tests/Unit/Http/Controllers/Kiosk/ActivityControllerTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 29, done.\nremote: Counting objects: 100% (29/29), done.\nremote: Compressing objects: 100% (20/20), done.\nremote: Total 29 (delta 14), reused 11 (delta 9), pack-reused 0 (from 0)\nUnpacking objects: 100% (29/29), 16.36 KiB | 644.00 KiB/s, done.\nFrom github.com:jiminny/app\n 0bfd964b74..3893b9772c master -> origin/master\n 4f960247ed..4fe0405141 JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n 1ff6f70f48..62a7fe6277 remove-phpstan-errors -> origin/remove-phpstan-errors\nUpdating 0bfd964b74..3893b9772c\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 20 +++++-\n app/Component/FFMpeg/Services/GetSpeechIntervalsService.php | 18 +++--\n app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php | 94 ++++++++++++++++++++++++++\n app/Console/Kernel.php | 1 +\n app/Jobs/ImportRemoteTrackJob.php | 78 +++++++++++++++++++++-\n app/Services/Activity/Twilio/S3RecordingCredentialsService.php | 82 +++++++++++++++++++++++\n tests/Feature/Jobs/ImportRemoteTrackJobTest.php | 285 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---\n tests/Unit/Component/Encoding/Job/AnalyzeTrackChannelsJobTest.php | 52 ++++++++++++++-\n tests/Unit/Component/FFMpeg/Services/GetSpeechIntervalsTest.php | 36 ++++++++--\n tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++\n 10 files changed, 823 insertions(+), 23 deletions(-)\n create mode 100644 app/Console/Commands/Activities/SetupIntegration/TwilioSetS3RecordingCredentialsCommand.php\n create mode 100644 app/Services/Activity/Twilio/S3RecordingCredentialsService.php\n create mode 100644 tests/Unit/Services/Activity/Twilio/S3RecordingCredentialsServiceTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20891-","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.19722222,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (docker)","depth":2,"bounds":{"left":0.19722222,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.2013889,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.3940972,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.3982639,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.59097224,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.5951389,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.7878472,"top":0.05888889,"width":0.196875,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.7920139,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.95625,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"APP (-zsh)","depth":1,"bounds":{"left":0.475,"top":0.033333335,"width":0.05138889,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
|
5457137724812098612
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-816202935180659232
|
idle
|
accessibility
|
NULL
|
2026-05-12T21:41:06.939405Z INFO screenpipe_audio 2026-05-12T21:41:06.939405Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:41:27.647937Z INFO screenpipe_audio::transcription::handle_new_transcript: device MacBook Pro Microphone (input) skipping duplicate transcript (entire content overlaps with previous)
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
2026-05-12T21:41:59.317221Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=3440566600782839939, trigger=visual_change)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:43:08.720605Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:44:11.518742Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-12T21:44:12.276375Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.4MB → 0.4MB (4.0x), 10 JPEGs deleted
2026-05-12T21:44:12.983817Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:13.060085Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.5MB → 0.2MB (7.0x), 10 JPEGs deleted
2026-05-12T21:44:14.128680Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:14.131824Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=830658247309044920, trigger=click)
2026-05-12T21:44:16.574164Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:19.656976Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:22.673874Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-8311882007572234868, trigger=visual_change)
2026-05-12T21:44:29.611055Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-8311882007572234868, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:45:10.439111Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-12T21:46:05.778707Z INFO screenpipe_engine::sleep_monitor: Screen locked (CGSession safety-net poll)
2026-05-12T21:46:10.782449Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-12T21:46:10.833161Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 2
2026-05-12T21:46:10.850809Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-12T21:46:10.943081Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
2026-05-12T21:46:11.015324Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-12T21:46:12.422572Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=2699797568401243855, trigger=click)
zsh: terminated npx screenpipe@latest record
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/AutomatedReports/SendReportJob.php
modified: config/logging.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 2910, done.
remote: Counting objects: 100% (1291/1291), done.
remote: Compressing objects: 100% (277/277), done.
remote: Total 2910 (delta 1135), reused 1014 (delta 1014), pack-reused 1619 (from 3)
Receiving objects: 100% (2910/2910), 1.58 MiB | 2.91 MiB/s, done.
Resolving deltas: 100% (1796/1796), completed with 296 local objects.
From github.com:jiminny/app
35f036ace6..0bfd964b74 master -> origin/master
fb68866c33..c15e0c8201 JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
* [new branch] JY-20432-add-more-ffmpeg-logging -> origin/JY-20432-add-more-ffmpeg-logging
8743fea32e..7d2566f98a JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
58c7b24ac5..08a2991724 JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
0f3e438941..8ed8beb563 JY-20725-handle-HS-search-rate-limit -> origin/JY-20725-handle-HS-search-rate-limit
+ 20a74137b0...2a66292b4d JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20742-mcp-poc-OAuth-DCR -> origin/JY-20742-mcp-poc-OAuth-DCR
6ed9e2bb13..94fccdf9f5 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
7a3dd91aee..4f960247ed JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
2c8a1d0856..fb7bfc86f9 desktop-app -> origin/desktop-app
89b45ec8b0..79ae4ed88a mcp-tools-schemas -> origin/mcp-tools-schemas
* [new branch] remove-phpstan-errors -> origin/remove-phpstan-errors
Updating 35f036ace6..0bfd964b74
error: Your local changes to the following files would be overwritten by merge:
app/Console/Commands/JiminnyDebugCommand.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 35f036ace6..0bfd964b74
Fast-forward
.windsurfrules | 169 +++++++++++----------
CLAUDE.md | 1 +
app/Component/ActivityAnalytics/Service/CalculateTalkTimeOffsetsFromTranscription.php | 24 +--
app/Component/AiActivityType/Services/AiActivityTypeEligibilityChecker.php | 28 +++-
app/Component/AiAutomation/Actions/PrepareUpdateDtoAction.php | 32 +++-
app/Component/AiAutomation/Services/CrmFillingEligibilityChecker.php | 47 ++++++
app/Component/AiAutomation/TestCrmAiPromptService.php | 14 ++
app/Component/AiCallScoring/Services/AiCallScoringEligibilityChecker.php | 9 ++
app/Component/ES/ElasticSearchWorkerManager.php | 86 -----------
app/Component/ES/Processor/Actions/LoadDocumentsAction.php | 2 +-
app/Component/ES/Worker/ActivityWorker.php | 73 ----------
app/Component/ES/Worker/EntityWorker.php | 44 ------
app/Component/ES/Worker/WorkerAmount.php | 60 --------
app/Component/ES/Worker/WorkerInterface.php | 15 --
app/Component/Encoding/Service/GenerateSpeechFromSilenceService.php | 85 ++++++-----
app/Component/LanguageDetection/Services/FindSpeechTimeService.php | 22 ++-
app/Component/Nudge/Job/ProcessOrganisationImmediateNudgesJob.php | 218 +++++++++++++++++++++++----
app/Component/ParagraphBreaker/Services/TranscriptionParagraphsService.php | 4 +
app/Component/ParticipantSpeech/Services/ParticipantSpeechesCreator.php | 33 +++++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesDeleter.php | 15 ++
app/Component/ParticipantSpeech/Services/ParticipantSpeechesProvider.php | 51 ++++++-
app/Component/ParticipantSpeech/Services/ParticipantSpeechesUploader.php | 36 +++++
app/Component/ProphetAi/Exceptions/InsufficientTranscriptException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/NoAssemblyIdException.php | 11 ++
app/Component/Transcription/DTO/Http/Transcription/AssemblyAI/AssemblyAI/SuccessfulResponse.php | 6 +
app/Component/Transcription/DTO/Http/Transcription/TranscriptionIsNotCorrectFormatException.php | 11 ++
app/Component/Transcription/Diarization/Services/GetNormalizedParticipantSpeechesService.php | 23 ++-
app/Component/Transcription/Diarization/Source/MeetingBotSource.php | 16 +-
app/Component/Transcription/TranscriptionProcessor/TranscriptionProcessor.php | 3 +
app/Console/Commands/Activities/ActivityHardDeleteCommand.php | 4 +-
app/Console/Commands/Activities/Copy.php | 2 +
app/Console/Commands/Crm/BackfillOpportunityUserFromAccountCommand.php | 126 ++++++++++++++++
app/Console/Commands/Elasticsearch/AsyncUpdateEsActivities.php | 19 ---
app/Console/Commands/Elasticsearch/AsyncUpdateEsEntities.php | 49 +------
app/Console/Commands/Elasticsearch/ResetAsyncElasticSearchCommand.php | 30 +---
app/Console/Commands/GeckoExport/GeckoExportParticipantSpeechesCommand.php | 14 +-
app/Console/Commands/JiminnyDebugCommand.php | 7 +-
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 2 +-
app/Console/Kernel.php | 3 +-
app/Contracts/Services/Calendar/CalendarTrait.php | 71 ++++++---
app/Events/AutomatedReports/AutomatedReportGenerated.php | 3 +
app/Http/Controllers/API/AiCallScoring/AiScorecardController.php | 7 +-
app/Http/Controllers/API/TeamAiAutomationController.php | 8 +
app/Http/Controllers/Kiosk/ActivityController.php | 58 ++++++--
app/Http/Controllers/Settings/PlaybookController.php | 15 +-
app/Jobs/Activity/Import/ImportTwilioVideoSpeechesJob.php | 25 ++--
app/Jobs/Activity/Import/IsActivityReadyForProcessingJob.php | 10 +-
app/Jobs/Calendar/SetupCalendarSync.php | 21 +--
app/Models/Activity/Transcription.php | 17 ++-
app/Models/Participant.php | 1 +
app/Repositories/Crm/ContactRepository.php | 69 +++++++--
app/Repositories/ParticipantSpeechRepository.php | 13 +-
app/Services/Activity/ParticipantsService.php | 19 ++-
app/Services/Calendar/Command/ImportParticipants.php | 1 +
app/Services/Calendar/GoogleCalendarService.php | 12 +-
app/Services/Crm/Close/Processor/OpportunityProcessor.php | 2 +-
app/Services/Crm/Close/Service.php | 22 ++-
app/Services/Crm/Copper/Service.php | 12 +-
app/Services/Crm/Hubspot/Service.php | 154 ++++++++++++++++----
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 88 +++++++++--
app/Services/Crm/IntegrationApp/ServiceTraits/SyncCrmEntitiesTrait.php | 22 ++-
app/Services/Crm/Pipedrive/Service.php | 17 ++-
app/Services/Crm/Salesforce/Service.php | 42 ++++--
app/Services/Mail/Office/EmailApiClient.php | 129 ++++------------
app/Services/Re...
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