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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
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NVD - cve-2026-33671
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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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
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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
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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
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
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[JY-20891] Sidekick SMS issue - Jira
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34615
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1296
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50
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2026-05-13T11:26:56.016156+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671616016_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 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated...
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1702643759673552445
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6718827295337855127
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click
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accessibility
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NULL
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($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
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated...
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NULL
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NULL
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NULL
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NULL
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34614
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1295
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39
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2026-05-13T11:26:56.008322+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671616008_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...
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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 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app...
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
Platform Sprint 4 Q2 - Platform Team - Scrum Board - Jira
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Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
Findings by vulnerability - Vanta
Findings by vulnerability - Vanta
NVD - cve-2026-33671
NVD - cve-2026-33671
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($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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[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
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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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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
And this is the email he got after replying to the email:
Open
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
Open
Open
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
Edit Steps to reproduce, edit
Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
Edit Actual outcome
With or without success the sender always receives a failure email
Expected outcome
Edit Expected outcome
The text messages to be sent via email without failures
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image-20260513-072944.png — Download
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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","depth":14,"bounds":{"left":0.27327126,"top":0.38547486,"width":0.013962766,"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 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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","depth":14,"bounds":{"left":0.27327126,"top":1.0,"width":0.013962766,"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","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","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":"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":"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":"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 attachments","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":"AXStaticText","text":"More actions for attachments","depth":14,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Add Attachment","depth":13,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Add Attachment","depth":15,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open image-20260513-072944.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":"944.png","depth":20,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"21 Jan 1970, 02:04 pm","depth":19,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"image-20260513-072944.png — 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":"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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8154201156680073656
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6302182611326728342
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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
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
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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
And this is the email he got after replying to the email:
Open
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
Open
Open
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
Edit Steps to reproduce, edit
Start an SMS conversation with another Jiminny user and reply to each other via email.
Actual outcome
Edit Actual outcome
With or without success the sender always receives a failure email
Expected outcome
Edit Expected outcome
The text messages to be sent via email without failures
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5
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944.png
21 Jan 1970, 02:04 pm
image-20260513-072944.png — Download
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image-20260513-072...
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34612
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[SRD-6848] 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
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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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 - Sidekick SMS issue
JY-20891 - Sidekick SMS issue
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2026-05-13T11:26:37.460716+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671597460_m1.jpg...
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[SRD-6848] Sidekick SMS issue - Jira — Work
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jiminny.atlassian.net/browse/SRD-6848
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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
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Dependabot alerts · jiminny/app
Dependabot alerts · jiminny/app
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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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[SRD-6848] 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
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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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 - Sidekick SMS issue
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Bug - Change work type
SRD-6848
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Stoyan Tomov
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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?
Data Centre
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Edit Data Centre
US
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.
Customer type
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Edit Customer type
Enterprise
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
Severity level
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Edit Severity level
S2
Impact
Impact
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None
Root cause
Root cause
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None
Attachments
Attachments
5
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Open image-20260513-072913.png
image-20260513-072
913.png
13 May 2026, 10:42 am...
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7706412401198037716
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5996460946562109628
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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
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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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 - Sidekick SMS issue
JY-20891 - Sidekick SMS issue
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Bug - Change work type
SRD-6848
SRD-6848
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Sidekick SMS issue- edit summary, edit
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Stoyan Tomov
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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?
Data Centre
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Edit Data Centre
US
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.
Customer type
More information about
Edit Customer type
Enterprise
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
Severity level
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Edit Severity level
S2
Impact
Impact
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Edit Impact, edit
None
Root cause
Root cause
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Edit Root cause, edit
None
Attachments
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5
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Open image-20260513-072913.png
image-20260513-072
913.png
13 May 2026, 10:42 am...
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34609
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46
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2026-05-13T11:26:31.410501+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671591410_m2.jpg...
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Press Alt+s to submit this form
Usage | Windsurf
U Press Alt+s to submit this form
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
Create linked issue - Jira
Create linked 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- edit summary, edit
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Stoyan Tomov
raised this request
via
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Hide 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?
Data Centre
More information about
Edit Data Centre
US
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.
Customer type
More information about
Edit Customer type
Enterprise
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
Severity level
More information about
Edit Severity level
S2
Impact
Impact
More information about
Edit Impact, edit
None
Root cause
Root cause
More information about
Edit Root cause, edit
None
Attachments
Attachments
5
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More actions for attachments
Open image-20260513-072913.png
image-20260513-072
913.png
13 May 2026, 10:42 am
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13 May 2026, 10:42 am
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Open image-20260513-072433.png
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13 May 2026, 10:42 am
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Open image-20260513-072900.png
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13 May 2026, 10:42 am
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13 May 2026, 10:42 am
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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
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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
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SRD-6848
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Sidekick SMS issue- edit summary, edit
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Stoyan Tomov
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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?
Data Centre
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US
Steps to reproduce
Steps to reproduce
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Start an SMS conversation with another Jiminny user and reply to each other via email.
Customer type
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Enterprise
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
Severity level
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S2
Impact
Impact
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None
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None
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5
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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
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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
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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
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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
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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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
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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
[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
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Bug - Change work type
SRD-6848
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Sidekick SMS issue- edit summary, edit
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Stoyan Tomov
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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
Create linked issue - Jira
Create linked 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
SRD-6848
SRD-6848
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Sidekick SMS issue- edit summary, edit
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Stoyan Tomov
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Description
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34605
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NULL
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NULL
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NULL
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34606
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1296
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44
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2026-05-13T11:26:28.396039+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671588396_m2.jpg...
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Firefox
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Create linked issue - Jira — Work
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1
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jiminny.atlassian.net/browse/SRD-6848
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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
Create linked issue - Jira
Create linked 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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231862613684705316
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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
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
Create linked issue - Jira
Create linked 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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34605
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1295
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36
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2026-05-13T11:26:28.395973+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671588395_m1.jpg...
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Firefox
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Create linked issue - Jira — Work
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1
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jiminny.atlassian.net/browse/SRD-6848
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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
Create linked issue - Jira
Create linked 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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Bug - Change work type
SRD-6848
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Sidekick SMS issue- edit summary, edit
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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
Create linked issue - Jira
Create linked 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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2026-05-13T11:26:26.966297+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671586966_m2.jpg...
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Create linked issue - Jira — Work
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1
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jiminny.atlassian.net/browse/SRD-6848
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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
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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
Create linked issue - Jira
Create linked 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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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
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
Create linked issue - Jira
Create linked 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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34602
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NULL
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NULL
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34603
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1295
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35
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2026-05-13T11:26:26.959583+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671586959_m1.jpg...
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Firefox
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Create linked issue - Jira — Work
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1
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jiminny.atlassian.net/browse/SRD-6848
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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
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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
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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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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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[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
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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-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
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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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SRD-6848
SRD-6848
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Sidekick SMS issue- edit summary, edit
Sidekick SMS issue
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Stoyan Tomov
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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?
Data Centre
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US
Steps to reproduce
Steps to reproduce
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Start an SMS conversation with another Jiminny user and reply to each other via email.
Customer type
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Enterprise
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
Severity level
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S2
Impact
Impact
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None
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None
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5
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Open image-20260513-072913.png
image-20260513-072
913.png...
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visual_change
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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
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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
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
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SRD-6848
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Sidekick SMS issue- edit summary, edit
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Stoyan Tomov
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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?
Data Centre
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US
Steps to reproduce
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Start an SMS conversation with another Jiminny user and reply to each other via email.
Customer type
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Enterprise
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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S2
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None
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None
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5
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Open image-20260513-072913.png
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671584756_m2.jpg...
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Create linked issue - Jira — Work
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jiminny.atlassian.net/browse/SRD-6848
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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
Create linked 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
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
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Create linked 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
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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
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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
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Bug - Change work type
SRD-6848
SRD-6848
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Sidekick SMS issue- edit summary, edit
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Stoyan Tomov
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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...
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Usage | Windsurf
Usage | Windsurf
[SRD-6848] Sidek Usage | Windsurf
Usage | Windsurf
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[SRD-6848] Sidekick SMS issue - Jira
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NVD - cve-2026-33671
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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] 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
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
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SRD-6848
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Stoyan Tomov
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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...
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Create linked issue - Jira — Work
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jiminny.atlassian.net/browse/SRD-6848
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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
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Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Dependabot alerts · jiminny/app
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
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Stoyan Tomov
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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?
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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
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Stoyan Tomov
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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?
Data Centre
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2026-05-13T11:26:23.553409+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671583553_m2.jpg...
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jiminny.atlassian.net/browse/SRD-6848
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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
Create linked issue - Jira
Create linked 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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[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
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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
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Bug - Change work type
SRD-6848
SRD-6848
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Sidekick SMS issue- edit summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Stoyan Tomov
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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?
Data Centre
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US
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.
Customer type...
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email:","depth":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open image-20260513-072433.png","depth":13,"on_screen":false,"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":13,"on_screen":false,"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. 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|
-6601406681241836665
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1420804206190546980
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visual_change
|
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
Create linked issue - Jira
Create linked 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
SRD-6848
SRD-6848
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Sidekick SMS issue- edit summary, edit
Sidekick SMS issue
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Stoyan Tomov
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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?
Data Centre
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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.
Customer type...
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34596
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1296
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2026-05-13T11:26:19.478073+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671579478_m2.jpg...
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Firefox
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Create linked issue - Jira — Work
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1
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jiminny.atlassian.net/browse/SRD-6848
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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
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
Create linked issue - Jira
Create linked 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
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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
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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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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
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Bug - Change work type
SRD-6848
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Sidekick SMS issue- edit summary, edit
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Stoyan Tomov
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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?...
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prospects.","depth":13,"on_screen":false,"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":13,"on_screen":false,"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":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open image-20260513-072619.png","depth":13,"on_screen":false,"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":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open image-20260513-072433.png","depth":13,"on_screen":false,"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":13,"on_screen":false,"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":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open image-20260513-072900.png","depth":13,"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":13,"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":13,"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":13,"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":13,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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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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NVD - cve-2026-33671
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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
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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Stoyan Tomov
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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?...
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2026-05-13T11:26:18.142580+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671578142_m2.jpg...
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Create linked issue - Jira — Work
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jiminny.atlassian.net/browse/SRD-6848
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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
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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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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
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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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[SRD-6848] Sidek Usage | Windsurf
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[SRD-6848] Sidekick SMS issue - 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 | 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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High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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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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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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Findings by vulnerability - Vanta
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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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[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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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
Create linked issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
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[SRD-6848] Sidekick SMS issue - Jira — Work
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jiminny.atlassian.net/browse/SRD-6848
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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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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Bug - Change work type
SRD-6848
SRD-6848
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Sidekick SMS issue- edit summary, edit
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Stoyan Tomov
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1384775391991748652
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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
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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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
SRD-6848
SRD-6848
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Sidekick SMS issue- edit summary, edit
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Stoyan Tomov
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NULL
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NULL
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34591
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1296
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35
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2026-05-13T11:26:14.740354+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671574740_m2.jpg...
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[SRD-6848] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/SRD-6848
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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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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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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
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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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
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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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[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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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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[SRD-6848] Sidekick SMS issue - 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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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[SRD-6848] 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
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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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[SRD-6849] Recorded call does not appear on the dashboard - Jira
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8586130915484346404
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1384775409167423532
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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
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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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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34588
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1296
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33
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2026-05-13T11:26:08.820036+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671568820_m2.jpg...
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[SRD-6848] Sidekick SMS issue - Jira — Work
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jiminny.atlassian.net/browse/SRD-6848
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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
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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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671568816_m1.jpg...
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[SRD-6848] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/SRD-6848
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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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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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Bug - Change work type
SRD-6848
SRD-6848
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Sidekick SMS issue- edit summary, edit
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Stoyan Tomov
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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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671567322_m2.jpg...
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[SRD-6848] Sidekick SMS issue - Jira — Work
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jiminny.atlassian.net/browse/SRD-6848
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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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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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Bug - Change work type
SRD-6848
SRD-6848
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Sidekick SMS issue- edit summary, edit
Sidekick SMS issue
Sidekick SMS issue
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Stoyan Tomov
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1384775391991748652
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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
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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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
SRD-6848
SRD-6848
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Sidekick SMS issue- edit summary, edit
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Stoyan Tomov
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NULL
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NULL
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NULL
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NULL
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34585
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1295
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28
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2026-05-13T11:26:06.513363+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671566513_m1.jpg...
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Firefox
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[SRD-6848] Sidekick SMS issue - Jira — Work
|
1
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jiminny.atlassian.net/browse/SRD-6848
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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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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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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
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] 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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[SRD-6848] Sidekick SMS issue - Jira — Work
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1
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jiminny.atlassian.net/browse/SRD-6848
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monitor_2
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PnostormINavicatecodeFV faVsco.js v%9 master -role PnostormINavicatecodeFV faVsco.js v%9 master -roledey© MailboxController.phplaravel.logA SF jiminny@localhost]A HS_Jocal [jiminny@localhost]A console [PROD] xA console (EU]©Createlnbox.php© TextRelayService.php© DeleteEmailMessagesJcA console [STAGING]D 60c Processtmalsonerass© SmsRelayFailed.phpTx: AutovhavolouneAND td.domain = LOWERSUBSTRINGLNDEX(c.calendar provider 1d,'d', -1)0GROUP BY t.id, t.name, calendar_domainOrDER BY t.name.So jiminny040 A1 A40 V 65 ^07 MeetingBotMiddlewarew Streamina• Teamw TelephonyUser251259c) ChangeEmailJob.php© DeactivateUserJob.phpc) DeleteScheduleduserAc(C) SetuoDefaultSavedSeanCSvncTolntercom.ohv264© SyncToPlanhat.php266© SyncToUserPilot.php© BaseProcessingJob.phpc) Dummv.loh.nhn© ImportRecallAlRecordingsJ© ImportRemoteTrackJob.ph|© Job.php© JobDispatcher.phpJobDispatcherlnterface.ph/© PurgeSoftDeletedOpportun0 SqsVisibilityControl.php275D Listenersv D Activities277~ D ActivityProvider> D JustCall~ D UserPilot© TrackProviderInst> D Audio?D 8otsv 2 Coachina>_lintercomv PlanhatC) CreateActivitvLod© CreateCoachingF,C) Createcoachings© CreateCoachingF:class EmailTextRelay extends Job implements ShouldQueueprivate function checkIntegrity(6opgle6mail\MessagePart Spayload, UserRepository SuserRepository)Stext = sema1l->gecv1s1dlelexcA30 MTAV© CreateCommenteC) CreateManaderC.© CreatePlayedEverC) CreateSelfCoache© CreateSharedEvel•MllcorDilot©CreateAvailabilityNot(e) CronteCanchingSoorif (Stext === ") (throw new TextReLayExceptionC"Message body is un-readable or empty.",code: self::REASON_CODE_MESSAGE_BODY_EMPTYSvalidator = Validator: :make(I'data' => Stext], ['data' => new SmsMessage()]);if (Svalidator->fails@) $throw new TextRelayException(Messade bodv1scode: self::REASON CODEM$1PS$this->text = $text;$sender = $this->parseSender ($hea.// Extract the Jiminny recipient.$recipient = explode( separator: '@', $this->parseRecipient($headers['To']));// Check this message is intended for us.if (Srecipient[2] |== config( key:) 'jiminny.google_text_host')) €throw new TextReLayExceptionC'Destination Mailbox does not match.',code? self::REASON_CODE_MAILBOX_MISMATCH[$from, $to, Sactivityid] = $this->parseRecipientIntoEntities($recipient[0]);Svalidator = Validator::make(l'data' => $from], ['data' => 'phone: INTERNATIONAL'));if (Svalidator->fails@) {throw new TextRelayException('Recinient oriain number is not valid.'.code: self:: REASON_CODE_RECIPIENT_ORIGIN_INVALIDSvalidator = Validator: :make(['data' => $to], ['data' => 'phone: INTERNATIONAL 'I);—633,-634635Firefox-653=654—655_656— 658=659=[CREDIT_CARD]"665- 666 v_667'_668—669—670select * trom users u 1o1n calendans c 1<»>I.n. on c.user 1d = U.1dwhere u.team_id = 882;select * from activities where id = 14049485: # team 563 crm 537select * from activities where id = 73272382; # team 563 crm 537select * from activities where id = 64400389; # team 563 crm 537select * from activities where id = 58081273; # team 563 crm 537select * from activities where id = 54520297; # team 563 crm 537select * from participants where activity_id = 58081273;select * from activities where crm_configuration_id = 537 and provider = 'aircall'and account_id = 19003658 order by updated_at desc;NSELECT * FROM activities WHERE uvid_to_bin(^8827f672-202d-4162-9d04-73ff5f0566a9') = uuidor uuld to b1nl 4/842446-2151-4000-854t-cc6568290101' = UU1d:SELE * FROM erm confiqurations WHERE provider = 'hubspot':ted_report_results where nedia,type = 'pdf' and status = 2and id IN (18, 1872);omated_reports where id = 54;SELECT * FROM users WHERE id IN (24623,29443,29613);SELECT * FROM automated_report_results WHERE uuid_to_bin('822fa41b-afd3-43a9-a248-86b0e36f3131') = uuid;select * from text_relays where created_at > '2026-05-01'# and id IN (32415, 32416);and id = 20112.select * from users where team_id = 2 and email like "%scott%' and id = 29510;CascadeTrial Owner Role Sele100% 52• wea 13 May 14-20:04U AskJiminnyReportActivityServiceTest~Retactoring User EmaI need only EmailTextRelay? changed it a bit. REveiw itTnoughttor 2s>Your changes to EmailTextRelay •php look good:Changes Made:1. Multi-line method signature (lines 80-84) - Follows codina standards for better readability2. Pass SuserRepository to checkIntegrity (line 107) - Keeps dependency injection focused3. Updated checkintegrity signature (line 251) - Now accepts UserRepository SuserRepository4. Undated user lookun (line 308) - Chanaed from User::where('emas]" Ssender)-sfirst() to SuserRenositorv->filReview:vulserRenositorv:findBvEmailo checks both email and cecondarv email fields* The dependency injection is cleaner - UserRepository is only used where needed•V Folllows the codina standards (multi- ine method sianatures• * No breaking changes to the existing logicch is actually better than mine - vou kept the UserRepository usage localized to checkintearity where thestually happens, rather than using it in handle and passing the user around.solve Scott's issue if he adds rewardgateway.com as his secondary_email in Jiminny. The SMS relay will nownt when he sends from that email address.lo Il «.app/Services/#SocialAccountService.php +3 -1app/Http/Controllers/Auth/ ExtensionController.php +1 -3lers/API/ SsoController.php +4 -2annlGuardel MSco nhn 48app/Listeners/Users/ ValidateSendingMessage.php +6 -3es/M SxternalldUniqueToHostValidationRule.ohvAsk anvthina (84-D)« Code SWF-1.6View allReiect alllAccent allif 4 spaces...
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PnostormINavicatecodeFV faVsco.js v%9 master -role PnostormINavicatecodeFV faVsco.js v%9 master -roledey© MailboxController.phplaravel.logA SF jiminny@localhost]A HS_Jocal [jiminny@localhost]A console [PROD] xA console (EU]©Createlnbox.php© TextRelayService.php© DeleteEmailMessagesJcA console [STAGING]D 60c Processtmalsonerass© SmsRelayFailed.phpTx: AutovhavolouneAND td.domain = LOWERSUBSTRINGLNDEX(c.calendar provider 1d,'d', -1)0GROUP BY t.id, t.name, calendar_domainOrDER BY t.name.So jiminny040 A1 A40 V 65 ^07 MeetingBotMiddlewarew Streamina• Teamw TelephonyUser251259c) ChangeEmailJob.php© DeactivateUserJob.phpc) DeleteScheduleduserAc(C) SetuoDefaultSavedSeanCSvncTolntercom.ohv264© SyncToPlanhat.php266© SyncToUserPilot.php© BaseProcessingJob.phpc) Dummv.loh.nhn© ImportRecallAlRecordingsJ© ImportRemoteTrackJob.ph|© Job.php© JobDispatcher.phpJobDispatcherlnterface.ph/© PurgeSoftDeletedOpportun0 SqsVisibilityControl.php275D Listenersv D Activities277~ D ActivityProvider> D JustCall~ D UserPilot© TrackProviderInst> D Audio?D 8otsv 2 Coachina>_lintercomv PlanhatC) CreateActivitvLod© CreateCoachingF,C) Createcoachings© CreateCoachingF:class EmailTextRelay extends Job implements ShouldQueueprivate function checkIntegrity(6opgle6mail\MessagePart Spayload, UserRepository SuserRepository)Stext = sema1l->gecv1s1dlelexcA30 MTAV© CreateCommenteC) CreateManaderC.© CreatePlayedEverC) CreateSelfCoache© CreateSharedEvel•MllcorDilot©CreateAvailabilityNot(e) CronteCanchingSoorif (Stext === ") (throw new TextReLayExceptionC"Message body is un-readable or empty.",code: self::REASON_CODE_MESSAGE_BODY_EMPTYSvalidator = Validator: :make(I'data' => Stext], ['data' => new SmsMessage()]);if (Svalidator->fails@) $throw new TextRelayException(Messade bodv1scode: self::REASON CODEM$1PS$this->text = $text;$sender = $this->parseSender ($hea.// Extract the Jiminny recipient.$recipient = explode( separator: '@', $this->parseRecipient($headers['To']));// Check this message is intended for us.if (Srecipient[2] |== config( key:) 'jiminny.google_text_host')) €throw new TextReLayExceptionC'Destination Mailbox does not match.',code? self::REASON_CODE_MAILBOX_MISMATCH[$from, $to, Sactivityid] = $this->parseRecipientIntoEntities($recipient[0]);Svalidator = Validator::make(l'data' => $from], ['data' => 'phone: INTERNATIONAL'));if (Svalidator->fails@) {throw new TextRelayException('Recinient oriain number is not valid.'.code: self:: REASON_CODE_RECIPIENT_ORIGIN_INVALIDSvalidator = Validator: :make(['data' => $to], ['data' => 'phone: INTERNATIONAL 'I);—633,-634635Firefox-653=654—655_656— 658=659=[CREDIT_CARD]"665- 666 v_667'_668—669—670select * trom users u 1o1n calendans c 1<»>I.n. on c.user 1d = U.1dwhere u.team_id = 882;select * from activities where id = 14049485: # team 563 crm 537select * from activities where id = 73272382; # team 563 crm 537select * from activities where id = 64400389; # team 563 crm 537select * from activities where id = 58081273; # team 563 crm 537select * from activities where id = 54520297; # team 563 crm 537select * from participants where activity_id = 58081273;select * from activities where crm_configuration_id = 537 and provider = 'aircall'and account_id = 19003658 order by updated_at desc;NSELECT * FROM activities WHERE uvid_to_bin(^8827f672-202d-4162-9d04-73ff5f0566a9') = uuidor uuld to b1nl 4/842446-2151-4000-854t-cc6568290101' = UU1d:SELE * FROM erm confiqurations WHERE provider = 'hubspot':ted_report_results where nedia,type = 'pdf' and status = 2and id IN (18, 1872);omated_reports where id = 54;SELECT * FROM users WHERE id IN (24623,29443,29613);SELECT * FROM automated_report_results WHERE uuid_to_bin('822fa41b-afd3-43a9-a248-86b0e36f3131') = uuid;select * from text_relays where created_at > '2026-05-01'# and id IN (32415, 32416);and id = 20112.select * from users where team_id = 2 and email like "%scott%' and id = 29510;CascadeTrial Owner Role Sele100% 52• wea 13 May 14-20:04U AskJiminnyReportActivityServiceTest~Retactoring User EmaI need only EmailTextRelay? changed it a bit. REveiw itTnoughttor 2s>Your changes to EmailTextRelay •php look good:Changes Made:1. Multi-line method signature (lines 80-84) - Follows codina standards for better readability2. Pass SuserRepository to checkIntegrity (line 107) - Keeps dependency injection focused3. Updated checkintegrity signature (line 251) - Now accepts UserRepository SuserRepository4. Undated user lookun (line 308) - Chanaed from User::where('emas]" Ssender)-sfirst() to SuserRenositorv->filReview:vulserRenositorv:findBvEmailo checks both email and cecondarv email fields* The dependency injection is cleaner - UserRepository is only used where needed•V Folllows the codina standards (multi- ine method sianatures• * No breaking changes to the existing logicch is actually better than mine - vou kept the UserRepository usage localized to checkintearity where thestually happens, rather than using it in handle and passing the user around.solve Scott's issue if he adds rewardgateway.com as his secondary_email in Jiminny. The SMS relay will nownt when he sends from that email address.lo Il «.app/Services/#SocialAccountService.php +3 -1app/Http/Controllers/Auth/ ExtensionController.php +1 -3lers/API/ SsoController.php +4 -2annlGuardel MSco nhn 48app/Listeners/Users/ ValidateSendingMessage.php +6 -3es/M SxternalldUniqueToHostValidationRule.ohvAsk anvthina (84-D)« Code SWF-1.6View allReiect alllAccent allif 4 spaces...
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2026-05-13T11:25:59.987123+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671559987_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)
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":0.27027926,"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-","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"}]...
|
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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whisper_init_state: kv self size = 3.15 MB
whi whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:41:06.939405Z 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 ...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:41:06.939405Z 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) $","depth":4,"on_screen":true,"value":"whisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:41:06.939405Z 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) $","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":"ffmpeg","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"}]...
|
-167081680179203307
|
-816202909427632672
|
visual_change
|
accessibility
|
NULL
|
whisper_init_state: kv self size = 3.15 MB
whi whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:41:06.939405Z 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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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 ...
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2026-05-13T11:25:28.354008+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671528354_m2.jpg...
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whisper_init_state: kv self size = 3.15 MB
whi whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:41:06.939405Z 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 ...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"whisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:41:06.939405Z 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) $","depth":4,"on_screen":true,"value":"whisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-12T21:41:06.939405Z 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) $","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":"ffmpeg","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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-816202909427632672
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click
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accessibility
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whisper_init_state: kv self size = 3.15 MB
whi whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-12T21:41:06.939405Z 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 ...
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25
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2026-05-13T11:25:27.118466+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671527118_m1.jpg...
|
PhpStorm
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faVsco.js – EmailTextRelay.php
|
1
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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SlackFileEditViewGoHistoryWindowHelpPRODIDOCKERDOC SlackFileEditViewGoHistoryWindowHelpPRODIDOCKERDOCKER (docker-compose)fd/1'2>&1docker_lamp_14S DONEdocker_1amp_11/fd/1'2>&1docker_lamp_1S]3S DONEdocker_1amp_1proc/1/fd/1'2>&1docker_lamp_13s DONEdocker_lamp_11/fd/1'2>&1docker_lamp_1tches=15]1s DONEdocker_lamp_1'/proc/1/fd/1'docker_lamp_1181XDEV (docker)₴82APP (-zsh2026-05-13 11:24:06 Running ['artisan'dialers:monitor-activities]1 '/usr/local/bin/php' 'artisan' dialers:monitor-activities"/proc/2026-05-13 11:24:10 Running L'artisan'jiminny:monitor-social-account1 '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > */2026-05-13 11:24:14 Running ['artisan' mailbox:skip-lists:refresh].1 '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh › */proc/2026-05-13 11:24:17 Running ['artisan' mailbox:batch:process --max-ba1 '/usr/local/bin/php' 'artisan'mailbox:batch:process --max-batches=2026-05-13 11:24:19 Running ['artisan' conference:monitor:count] ...docker_lamp_11 '/usr/local/bin/php' 'artisan' conference:monitor:count › */proc/1/docker_lamp_12026-05-13 11:24:21 Running ['artisan' activity:aircall:check-and-ren• '/usr/local/bin/php' 'artisan' activity:aircall: check-and-renew > 'docker_lamp_11S DONEdocker_1amp_1c/1/fd/1'2>&1docker_lamp_1docker_lamp_1docker_lamp_1docker_1amp_13S DONEdocker_lamp_1fd/1'2>&1docker_lamp_11S DONEdocker_lamp_11/fd/1' 2>&12026-05-13 11:24:24 Running ['artisan' track:retry-failed-downloads]1 '/usr/local/bin/php' 'artisan' track:retry-failed-downloads › '/prorun_artisan_schedule: Done waiting for schedule:run2026-05-13 11:25:03 Running ['artisan'meeting-bot:schedule-bot] ...1 '/usr/local/bin/php' 'artisan'meeting-bot: schedule-bot › '/proc/1/2026-05-13 11:25:06 Running ['artisan' dialers:monitor-activities]1 '/usr/local/bin/php' 'artisan' dialers:monitor-activities › '/proc/View in Docker Desktopo View Configw Enable WatchHomeDMsActivityFilesLater...Morela6lSupport Daily • in 35 m100% <78•-→Jiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches#random# releases# sofia-office# support# thank-yous# the_people_of jimi...Wed 13 May 14:25:26Describe what you are looking for• Direct messageso Nikolay IvanovJames GrahamStoyan Tanev®. Galya DimitrovaRe Steliyan GeorgievPetko Kashinskie. Aneliya Angelova&. Stefka StoyanovaB. Vasil VasilevLukas Kovalik y... O::: AppsToastJira Cloud# releases8 226 0• Messages+C Files• BookmarksProject: appToday ~05/13/202610:15:05Tag:View JobGitHub APP 1:35 PM11 new commits pushed to master by ilian-jiminnye05484a4| - JY-20432 Added more logging forFFMPEG errors and check if s3 file is emptyd847ac11 - JY-20432 more loggingd16bf02b - JY-20432 lint fixes393f38b5 - JY-20432 fixed test70db57af - Merge branch 'master' into JY-20432-add-more-ffmpeg-loggingShow morejiminny/app | Added by GitHubNewCircleCl APP 1:58 PMDeployment Successful!Project: appWhen:05/13/202610:58:40Tag:View JobMessage #releases+..•...
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-7224280218452056239
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NULL
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click
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ocr
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NULL
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SlackFileEditViewGoHistoryWindowHelpPRODIDOCKERDOC SlackFileEditViewGoHistoryWindowHelpPRODIDOCKERDOCKER (docker-compose)fd/1'2>&1docker_lamp_14S DONEdocker_1amp_11/fd/1'2>&1docker_lamp_1S]3S DONEdocker_1amp_1proc/1/fd/1'2>&1docker_lamp_13s DONEdocker_lamp_11/fd/1'2>&1docker_lamp_1tches=15]1s DONEdocker_lamp_1'/proc/1/fd/1'docker_lamp_1181XDEV (docker)₴82APP (-zsh2026-05-13 11:24:06 Running ['artisan'dialers:monitor-activities]1 '/usr/local/bin/php' 'artisan' dialers:monitor-activities"/proc/2026-05-13 11:24:10 Running L'artisan'jiminny:monitor-social-account1 '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > */2026-05-13 11:24:14 Running ['artisan' mailbox:skip-lists:refresh].1 '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh › */proc/2026-05-13 11:24:17 Running ['artisan' mailbox:batch:process --max-ba1 '/usr/local/bin/php' 'artisan'mailbox:batch:process --max-batches=2026-05-13 11:24:19 Running ['artisan' conference:monitor:count] ...docker_lamp_11 '/usr/local/bin/php' 'artisan' conference:monitor:count › */proc/1/docker_lamp_12026-05-13 11:24:21 Running ['artisan' activity:aircall:check-and-ren• '/usr/local/bin/php' 'artisan' activity:aircall: check-and-renew > 'docker_lamp_11S DONEdocker_1amp_1c/1/fd/1'2>&1docker_lamp_1docker_lamp_1docker_lamp_1docker_1amp_13S DONEdocker_lamp_1fd/1'2>&1docker_lamp_11S DONEdocker_lamp_11/fd/1' 2>&12026-05-13 11:24:24 Running ['artisan' track:retry-failed-downloads]1 '/usr/local/bin/php' 'artisan' track:retry-failed-downloads › '/prorun_artisan_schedule: Done waiting for schedule:run2026-05-13 11:25:03 Running ['artisan'meeting-bot:schedule-bot] ...1 '/usr/local/bin/php' 'artisan'meeting-bot: schedule-bot › '/proc/1/2026-05-13 11:25:06 Running ['artisan' dialers:monitor-activities]1 '/usr/local/bin/php' 'artisan' dialers:monitor-activities › '/proc/View in Docker Desktopo View Configw Enable WatchHomeDMsActivityFilesLater...Morela6lSupport Daily • in 35 m100% <78•-→Jiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches#random# releases# sofia-office# support# thank-yous# the_people_of jimi...Wed 13 May 14:25:26Describe what you are looking for• Direct messageso Nikolay IvanovJames GrahamStoyan Tanev®. Galya DimitrovaRe Steliyan GeorgievPetko Kashinskie. Aneliya Angelova&. Stefka StoyanovaB. Vasil VasilevLukas Kovalik y... O::: AppsToastJira Cloud# releases8 226 0• Messages+C Files• BookmarksProject: appToday ~05/13/202610:15:05Tag:View JobGitHub APP 1:35 PM11 new commits pushed to master by ilian-jiminnye05484a4| - JY-20432 Added more logging forFFMPEG errors and check if s3 file is emptyd847ac11 - JY-20432 more loggingd16bf02b - JY-20432 lint fixes393f38b5 - JY-20432 fixed test70db57af - Merge branch 'master' into JY-20432-add-more-ffmpeg-loggingShow morejiminny/app | Added by GitHubNewCircleCl APP 1:58 PMDeployment Successful!Project: appWhen:05/13/202610:58:40Tag:View JobMessage #releases+..•...
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2026-05-13T11:25:24.960140+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671524960_m2.jpg...
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PhpStorm
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faVsco.js – EmailTextRelay.php
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1
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NULL
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monitor_2
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NULL
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NULL
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
More Actions
JetBrains AI
Search Everywhere
IDE and Project Settings
Show Replace Field
Search History
TextRelayException
New Line
Match Case
Words
Regex
Replace History
Replace
New Line
Preserve case...
|
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History","depth":3,"bounds":{"left":0.27027926,"top":1.0,"width":0.00731383,"height":0.0},"on_screen":false,"role_description":"checkbox","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextField","text":"Replace","depth":4,"on_screen":false,"role_description":"text field","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXCheckBox","text":"New Line","depth":3,"bounds":{"left":0.27027926,"top":1.0,"width":0.00731383,"height":0.0},"on_screen":false,"role_description":"checkbox","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXCheckBox","text":"Preserve case","depth":3,"bounds":{"left":0.27027926,"top":1.0,"width":0.00731383,"height":0.0},"on_screen":false,"role_description":"checkbox","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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-8240172924586971708
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visual_change
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hybrid
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NULL
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
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JetBrains AI
Search Everywhere
IDE and Project Settings
Show Replace Field
Search History
TextRelayException
New Line
Match Case
Words
Regex
Replace History
Replace
New Line
Preserve case
PhostormINavigareCodeLaravelKeractorFV faVsco.js°9 masterProiect© MailboxController.phpg createlnoox.onpC DeleteEmallmessagessc© TextRelayService.phgc Processtmalsonerass© SmsRelayFailed.php0 MeetinaBo1C Middleware> → StreaminaC TeamTelephony0 Userclass EmailTextRelay extends Job implements ShouldQueueprivate function checkIntegnity(GoogleGmaiZ\MessagePart Spayload, UserRepository SuserRepository)259260c) ChangeEmailJob.pho261DeactivateUserJob.phpc) DeleteScheduledUserAc263)(C) SetuoDefaultSavedSeanCSvncTolntercom.ohv© SyncToPlanhat.php© SyncToUserPilot.php© BaseProcessingJob.phpc) Dummv.loh.nhn264265266267269© ImportRecallAlRecordingsJ276© ImportRemoteTrackJob.ph271G Job.phpC.lohDicnatcher nhn© JobDispatcherInterface.ph© PurgeSoftDeletedOpporturT SqsVisibilityControl.phpv C Listenersv @ Activitiesv @ ActivityProvider>C JustCallv D UserPilot© TrackProviderinst> C Audic275277?D 8otsv 2 Coachina>_lintercomv PlanhatC) CreateActivitvLod© CreateCoachingFC) Createcoachings© CreateCoachingF2852862872882892902911© CreateCommenteC) CreateManaderC.2931© CreatePlayedEverC) CreateSelfCoache(e CrontoCharodEvo•MlilcorDilot(e) Cronto AvnilabilitvNot(e) CronteCanchingSoorStext = sema1l->gecv1s1dlelexcif (Stext === ') {throw new TextRelayException(: 'Message body is un-readable or empty.',code: self::REASON_CODE MESSAGE BODY_EMPTYsvauidator = Validator::make(data' => Stextlr 'data' => new SmsMessageOlD1f Svalidator->farlsonthrow new TextrelayExceptionMessade body is too larde to send as an SMS.'.code: self.•REASON CODE MESSAGE BODY TOO LARG:Sthis->text = $text;$sender = $this->parseSender($headers['From']):// Extract the Jiminny recipient.Srecipient = explode( separator: '@', Sthis->parseRecipient(Sheaders['To'))):// Check this message is intended for us.if (Srecipient[1] |== config( key: 'jiminny.google_text_host')) {throw new TextRelayException('Destination Mailbox does not match.'.code: self::REASON_CODE_MAILBOX_MISMATCH[$from, $to, $activityId] = $this->parseRecipientIntoEntities($recipient[0]);Svalidator = Validator::make(['data' => $from], ['data' => 'phone: INTERNATIONAL']);if (Svalidaton->fails0){throw new TextRelavExcention('Recipient origin number is not valid.',code: self.•REASON CODE RECIPTENT ORIGIN INVALIDSvalidator = Validator::make(['data' => $to], ['data' => 'phone:INTERNATIONAL']):ortcuts conflicts: Clone Caret Below and 1 more shortcut conflict with macOS shortcuts. Modify these shortcuts or change macOS system settings. // Modify Shortcuts // Don't Show Again (3 minutes ago|aravel.l0gA SF (jiminny@localhost]4 HS_local [jiminny@localhost]& console (PROD] X A console [EU]A console [STAGING]630A30MTAV-639—6331634636— 6471 64864$65€651—652— 653=654— 655~65465)=6601 66669663664T6651 668—669_ 676Tx: Auto vSo jiminnyAND td.domain = LOWERSUBSTRINGLNDEX(c.calendar provider 1d, 'd', -1)0GROUP BY t.id, t.name, calendar domain40 41 840 X.05OrDER BY t.name.select * trom users u 1o1n calendans c 1<»>I.n. on c.user 1d = U.1dwhere u.team id = 882select * from activities where id = 14049485: # team 563 crm 537select * from activities where id = 73272382; # team 563 crm 537select * from activities where id = 64400389; # team 563 crm 537select * from activities where id = 58081273; # team 563 crm 537select * from activities whene id = 54520207• # +eam 563 crm 537select * from participants where activity_id = 58081273;select * from activities where crm_configuration_id = 537 and provider = 'aircalland account_id = 19003658 order by updated_at desc:select * from contacts where crm_configuration_id = 537 and id = 35957759;select * from accounts where crm confiquration id = 537 and id = 19003658:select * from automated report results where id = 1976:select * from automated_reports where 1d = 585;select * trom activity searches where10 = 8/1147select * trom activity search_ tilters where activity search 1d = 8/7141SELECT * FROM activities WHERE uuid to bin('8827f672-202d-4162-9d04-73ff5f0566a9') = uuidor uuld to b1n 4/842446-2151-4000-854t-cc6568290101' = UU1d:SELE * FROM erm confiqurations WHERE provider = 'hubspot':select * from rate limitssellect * From auted_report_results where media type = 'pdf' and status = 2and id IN (18, 1872);select * fromomated_reports where id = 54;SELECT * FROM users WHERE id IN (24623,29443,29613):SELECT * FROM automated_report_results WHERE uuid_to_bin('822fa41b-afd3-43a9-a248-86b0e36f3131') = uuid;select * from text_relays where created_at > '2026-05-01'# and id IN (32415, 32416);and id = 20112.select * from users where team id = 2 and email like '%scott%' and id = 29510suppont Dally • In 3ol100% S2• Wed 13 May 14:25:24AskJiminnyReportActivityServiceTest vcascadeTrial Owner Role SeleRetactoring User EmIneed only EmailTextRelay? | changed it a bit. REveiw itRead EmailTextRelay.phpTnoughttor 2s>Your changes to EmailTextRelay.php look good:Changes Made:1. Multi-line method signature (lines 80-84) - Follows codina standards for better readability2. Pass SuserRepository to checkIntegrity (line 107) - Keeps dependency injection focused3. Updated checkintegrity signature (line 251 - Now accepts UserRepository SuserRepository4. Undated user lookun (line 308) - Chanaed from User:where("emaj]" Ssender)-sfirct() to SuserRenositorv->fiReview:wulserReSitorv: :findBvEmailo checks both emaii and cecondarv email fieldsThe dependency injection is cleaner - UserRepository is only used where needed•V Folllows the codina standards (multi- ine method sianatures• • No breaking changes to the existing logicThis approach is actually better than mine - vou kept the UserRepository usage localized to checkintearity where theucor lookun sctually hannens rather than ucina it in bandle and naccina the licer aroundiThe fix will resolve Scott's issue if he adds rewardgateway.com as his secondary_emait in Jiminny. The SMS relay will nowtind his account when he sends from that email adaress.lo Il «.app/Services/#SocialAccountService.pho +3 -1app/Http/Controllers/Auth/ ExtensionController.php +1-3llers/API SsoController.php +4 -2annlGunrdel M Gco nhn 48app/Listeners/Users/ ValidateSendingMessage.php +6 -3es/# SxternalldUniqueToHostValidationRule.ohvAsk anvthina (84L)« Code SWF-1.6Reiect alllWN Windsurf Toams 277•56 UTF.9View alllAccent alliio 4 spaces...
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2026-05-13T11:25:21.932018+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671521932_m2.jpg...
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PhpStorm
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faVsco.js – EmailTextRelay.php
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1
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NULL
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monitor_2
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NULL
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NULL
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NULL
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections...
|
[{"role":"AXButton","text" [{"role":"AXButton","text":"Project: faVsco.js, menu","depth":5,"bounds":{"left":0.025930852,"top":0.019952115,"width":0.03856383,"height":0.025538707},"on_screen":true,"help_text":"~/jiminny/app","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"master, menu","depth":5,"bounds":{"left":0.064494684,"top":0.019952115,"width":0.040226065,"height":0.025538707},"on_screen":true,"help_text":"Git Branch: master<br/>Some incoming commits are not fetched<br/>","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Start Listening for PHP Debug Connections","depth":5,"bounds":{"left":0.8081782,"top":0.019952115,"width":0.011303191,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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-7429716278976468786
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-8636355650190325311
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visual_change
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hybrid
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NULL
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
PhpStormProiect vVIewINavigareCodeLaravelRefactorJOOISWindowFV faVsco.js?9 master© MailboxController.php= custom.log=laravel.logA SF (jiminny@localhost]4 HS_local [jiminny@localhost]& console (PROD] X A console [EU]g createlnoox.onpC) TextRelavService.ongC DeleteEmallmessagesscA console [STAGING]c Processtmalsonerass© SmsRelayFailed.phgSo jiminny040 A1 A40 V 65 ^select * from automated_report_results where id = 197607 MeetingBotC Middlewarew StreaminaC TeamTelephony0 Userc) ChangeEmailJob.phoDeactivateUserJob.phpc) DeleteScheduledUserAcTextrelayExceptionselect * TrOmaucomared reports where 10 = sosselect * from activity_searches where id = 87714;class EmailTextRelay extends Job implements ShouldQueueA30MTAV651seLecc * Tromacclvicy search tilcerswnere accivlcy search 10 = 8/7141private function checkIntegrity(GoogleGmaiZ\MessagePart Spayload, UserRepository SuserRepository)Stext = sema1l->gecv1s1dlelexc=- 652259SELECT * FROM actIvities WHERE UU1d_to_ D1n 88271672-202d-4162-9d04-73ff5f0566a9' = UU1dor uuid to_ bin(•47842446-af51-4bcb-854f-cc65602901019) = uuid:if (Stext === 1'){throw new TextRelayException(Message body 1s un-readable or empcy.'.code: self::REASON_CODE MESSAGE BODY_EMPTYSELECT * FROM crm_configurations WHERE provider = 'nubspot";select * from rate limits:658264© SyncTolntercom.php— 666© SyncToPlanhat.php© SyncToUserPilot.php266© BaseProcessingJob.phpc) Dummv.loh.nhn© ImportRecallAlRecordingsJ© ImportRemoteTrackJob.ph$validator = Validator::make(['data' => $text], ['data' => new SmsMessage)]):if (Svalidator->fails0) {throw new TextrelayExceptionMessade body is too larde to send as an SMS.')code: self.•REASON CODE MESSAGE BODY TOO LARG:G Job.phpC.lohDicnatcher nhn© JobDispatcherInterface.ph=663E664— 665=666 v— 647668669© PurgeSoftDeletedOpportur275Sthis->text = Stext.T SqsVisibilityControl.phpv C Listeners$sender = $this->parseSender($headers['From']):v @ Activitiesv @ ActivityProvider>C JustCall// Extract the Jiminny recipient.Srecipient = explode( separator: '@', Sthis->parseRecipient(Sheaders['To'))):select * from automated_report_results where media type = 'pdf" and status = 2and id IN (18, 1872):select * from automated_reports where id = 54)SELECT * FROM users WHERE id IN (24623,29443,29613);SELECT * FROM automated_report_results WHERE uuid_to_bin('822fa41b-afd3-43a9-a248-86b0e36f3131') = uuid;select * from text_relays where created_at > '2026-05-01'# and id IN (32415, 32416);and id = 32412;select * from users where team_id = 2 and email like '%scott%' and id = 29510;Local ChangesConsole→ = Side-by-side viewer -Do not ignoreHighlight wordsa Base version ano/Console/Commands/.liminnvDebuaCommand.ova Shelved version• D & Sendrevor.oo Z tile• reorder calls 1 tlle, 11.05.26, 10:09> Move non paginator search calls to client-› search 1 file. 11.05.26. 10:07declare(strict tvnes=):declare (strict tvnes=1):› Almost ready one calli to be tested 8 files. 8.05.26. 14:54> hubspot rate limit temp checkout 17 files. 8.05.26. 11:48•- namesnace Jiminnv Console Commands:namesnace liminnv Console Commands.> saved search delete 1 file. 27.04.26. 14:58expiration message 6 files. 27.04.26. 9:23• Up dev loas 1 fle 14.04.26 12:02› tem test 1 file, 24.04.26, 10:36user transformer 2 files 23.04.26 15:13email ready Q files 23.04.26 15.31Email on not sent 5 files 21.04.26 19•39use Illuminate\Console\Command=- /sest* Class JiminnyDebugCommanduse Carbon\Carbon;use Carbon\CarbonImmutableuse Illuminate\Console\Commanduse Illuminate\Support\Facades Redisuce TovalidAnaumen+Fycontion•* dpackage Jiminnu Console Commandeuse Jiminny Jobs AutomatedReports RequestGenerateAskJiminnyReportJob:uco liminnul lobelAntomotodDonontel CondDonon+Mod1 lnh+• Planhat track interoct event 2 files 21.04 26 12•56> Up trackina controller 1 file 20 04 26 9•221) Mont cond if no c2 nath (fiv undato to failod) 1 filo 17 04 26 12.56.• ESATIIDE CHANGEC 2 4lOC 6 04 26 12-10> web.php fix router 1 file, 1.04.26, 9:23class JiminnyDebugCommand extends Commancprotected Ssignature = 'jiminnv:debug':17use Jiminny Jobs\Crm\Delete\VerifyActivityCrmTaskJob:use Jiminny Jobs\Crm\MatchActivitvCrmData:use Jiminny Jobs\JobDispatcherInterfaceuse Jiminny Models Activity:suppont Dally • In 3om100% S2• Wed 13 May 14:25:21AskJiminnyReportActivityServiceTest vcascadeTrial Owner Role SeleRetactoring User EmaIneed only EmailTextRelay? | changed it a bit. REveiw itTnoughttor zsYour changes to EmailTextRelay-php look good:Changes Made:1. Multi-line method signature (lines 80-84) - Follows codina standards for better readability2. Pass SuserRepository to checkIntegrity (line 107) - Keeps dependency injection focused3. Updated checkintegrity signature (line 251) - Now accepts UserRepository SuserRepository4. Undated user lookun (line 308) - Chanaed from User::where('emas]" Ssender)-sfirst() to SuserRenositorv->filllserRersitorv: :findBvEmailo checks both emaii and cecondarv email fieldsIne dependency injection is cleaner - userkepository is only used where neededFolllows the codina standards (multi-ine method sianatures)• • No breaking changes to the existing logicers/Auth/extensionController.oho +1-3app/Http/Controllers/API SsoController.php +4 -2ann/Guarde/MSco.nhn +8 -21aop/Listeners/Users/1 ValidateSendinaMessage.oho +6 -3es/ ExternalldUniqueToHostValidationRule.phv +6Ask anything (8 +L)<> Code SWE-1.6Accept all5 differencesW Windsurf Teams#henasod...
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24
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2026-05-13T11:25:20.807919+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671520807_m1.jpg...
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PhpStorm
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faVsco.js – EmailTextRelay.php
|
1
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
More Actions
JetBrains AI
Search Everywhere
IDE and Project Settings...
|
[{"role":"AXButton","text" [{"role":"AXButton","text":"Project: faVsco.js, menu","depth":5,"on_screen":true,"help_text":"~/jiminny/app","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"master, menu","depth":5,"on_screen":true,"help_text":"Git Branch: master<br/>Some incoming commits are not fetched<br/>","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Start Listening for PHP Debug Connections","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"AskJiminnyReportActivityServiceTest","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Run 'AskJiminnyReportActivityServiceTest'","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Debug 'AskJiminnyReportActivityServiceTest'","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"More Actions","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"JetBrains AI","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search Everywhere","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"IDE and Project Settings","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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-4235983745889776938
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-8204421443435123770
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visual_change
|
hybrid
|
NULL
|
Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
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JetBrains AI
Search Everywhere
IDE and Project Settings
SlackFileEditViewGoHistoryWindowHelpPRODIDOCKERDOCKER (docker-compose)fd/1'2>&1docker_lamp_14S DONEdocker_1amp_11/fd/1'2>&1docker_lamp_1S]3S DONEdocker_1amp_1proc/1/fd/1'12>&1docker_lamp_13s DONEdocker_lamp_11/fd/1'2>&1docker_lamp_1tches=15]1s DONEdocker_lamp_1'/proc/1/fd/1'docker_lamp_1181DEV (docker)₴82APP (-zsh2026-05-13 11:24:06 Running ['artisan'dialers:monitor-activities]1 '/usr/local/bin/php' 'artisan' dialers:monitor-activities"/proc/2026-05-13 11:24:10 Running L'artisan'jiminny:monitor-social-account1 '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > */2026-05-13 11:24:14 Running ['artisan' mailbox:skip-lists:refresh].1 '/usr/local/bin/php' 'artisan' mailbox:skip-lists:refresh › */proc/2026-05-13 11:24:17 Running ['artisan' mailbox:batch:process --max-ba1 '/usr/local/bin/php' 'artisan'mailbox:batch:process --max-batches=2026-05-13 11:24:19 Running ['artisan' conference:monitor:count] ...docker_lamp_11 '/usr/local/bin/php' 'artisan' conference:monitor:count › */proc/1/docker_lamp_12026-05-13 11:24:21 Running ['artisan' activity:aircall:check-and-ren• '/usr/local/bin/php' 'artisan' activity:aircall: check-and-renew > 'docker_lamp_11S DONEdocker_1amp_1c/1/fd/1'2>&1docker_lamp_1docker_lamp_1docker_lamp_1docker_1amp_13sDONEdocker_lamp_1fd/1'2>&1docker_lamp_11S DONEdocker_lamp_11/fd/1' 2>&12026-05-13 11:24:24 Running ['artisan' track:retry-failed-downloads]1 '/usr/local/bin/php' 'artisan' track:retry-failed-downloads › '/prorun_artisan_schedule: Done waiting for schedule:run2026-05-13 11:25:03 Running ['artisan'meeting-bot:schedule-bot] ...1 '/usr/local/bin/php' 'artisan'meeting-bot: schedule-bot › '/proc/1/2026-05-13 11:25:06 Running ['artisan' dialers:monitor-activities]1 '/usr/local/bin/php' 'artisan' dialers:monitor-activities › '/proc/View in Docker Desktopo View Configw Enable WatchHomeDMsActivityFilesLater...Morela6lSupport Daily • in 35 m100% <78•Wed 13 May 14:25:20-→Describe what you are looking forJiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches#random# releases# sofia-office# support# thank-yous# the_people_of jimi...• Direct messageso Nikolay IvanovJames GrahamStoyan Tanev®. Galya Dimitrova ERe Steliyan GeorgievPetko Kashinskie. Aneliya Angelova&. Stefka StoyanovaB. Vasil VasilevLukas Kovalik y... O::: AppsToastJira Cloud# releases8 226 0• Messages+C Files• BookmarksProject: appToday ~05/13/202610:15:05Tag:View JobGitHub APP 1:35 PM11 new commits pushed to master by ilian-jiminnye05484a4| - JY-20432 Added more logging forFFMPEG errors and check if s3 file is emptyd847ac11 - JY-20432 more loggingd16bf02b - JY-20432 lint fixes393f38b5 - JY-20432 fixed test70db57af - Merge branch 'master' into JY-20432-add-more-ffmpeg-loggingShow morejiminny/app | Added by GitHubNewCircleCl APP 1:58 PMDeployment Successful!Project: appWhen:05/13/202610:58:40Tag:View JobMessage #releases+Aa..•...
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Slack
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releases (Channel) - Jiminny Inc - 5 new items - S releases (Channel) - Jiminny Inc - 5 new items - Slack...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
Home
Home
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Activity
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More…
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random
releases
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
Home
Home
DMs
DMs
Activity
Activity
Files
Files
Later
Later
More…
More
Unreads
Threads
Huddles
Drafts & sent
1
Directories
jiminny-x-integration-app
platform-inner-team
ai-chapter
alerts
backend
bugs
confusion-clinic
curiosity_lab
engineering
general
jiminny-bg
platform-tickets
product_launches
random
releases
sofia-office
support
thank-yous
the_people_of_jiminny
Nikolay Ivanov
James Graham
Stoyan Tanev
Galya Dimitrova
Steliyan Georgiev
Petko Kashinski
Aneliya Angelova
Stefka Stoyanova
Vasil Vasilev
Lukas Kovalik
you
Toast
Jira Cloud
Messages
Messages
Files
Files
PhostormINavicatecodeFV faVsco.js~?9 masterProletey© MailboxController.phpg createlnoox.onp© TextRelayService.php© DeleteEmailMessagesJc= custom.logA console [STAGING]laravel.logA SF jiminny@localhost]A HS_Jocal [jiminny@localhost]Tx: Autoc Processtmalsonerass© SmsRelayFailed.phpsms-relay-ralled.blade.phg0 MeetingBotMiddlewarew Streamina• TeamTelephonyDUserc) ChangeEmailJob.pho© DeactivateUserJob.phpc) DeleteScheduleduserAc© SetupDefaultSavedSear264© SyncTolntercom.php© SyncToPlanhat.php266© SyncToUserPilot.php© BaseProcessingJob.phpc) Dummv.loh.nhn© ImportRecallAlRecordingsJ© ImportRemoteTrackJob.ph|© Job.php© JobDispatcher.phpJobDispatcherlnterface.ph/© PurgeSoftDeletedOpportun0 SqsVisibilityControl.php275D Listeners~ D Activities~ D ActivityProvider> D JustCallTextrelayExceptionclass EmailTextRelay extends Job implements ShouldQueueBS0 MIAV651private function checkIntegrity(6opgle6mail \MessagePart Spayload, UserRepository SuserRepository)-652Stext = sema1l->gecv1s1dlelexcselect * tron aucomaced report_ results where 10 = 1970seLect * tromaucomaced_reports where 10 = Jo5select * from activity_searches where id = 87714;seLecc * Tromaccivicy search tiltersWnere accivlcy search 10 = 8//141SELECT * FROM actIvities WHERE UU1d_to_ D1n 88271672-202d-4162-9d04-73ff5f0566a9' = UU1dor uuid_to_bin(*47842446-af51-4bcb-854f-CC6560290101') = uuid;if (Stext === ") {throw new TextReLayExceptionCmessage. Message body 1s un-readable or empcy.'.code: self::REASON_CODE_MESSAGE_BODY_EMPTYSELECT * FROM crm_configurations WHERE provider = 'hubspot';select * from rate limits:— 660select * from automated_report_results where media,tyRe = 'pdf' and status = 2and id IN (18, 1872);select * from automated_reports where id = 54;SELECT * FROM users WHERE id IN (24623, 29443, 29613);Svalidator = Validator: :make(I'data' => Stext], ['data' => new SmsMessage()]);if (Svalidator->fails()) {throw new TextRelayException(Messade bodv1scode: self: :REASON_CODE_M662=663=LL1PS$1$this->text = $text;$sender = $this->parseSender ($hea.PhpStorm// Extract the Jiminny recipient.$recipient = explode( separator: '@', $this->parseRecipient($headers['To']));Local ChangesShelfConsoleLoa X→ ® ( Side-by-side viewer ~Do not ignorea Base version ano/Console/Commands/.liminnvDebuaCommand.ovHighlight wordsX 15 {> JD & SendReportJob 2 files, Today 12:38• reorder calls 1 tlle, 11.05.26, 10:09> Move non paginator search calls to client-› search 1 file. 11.05.26. 10:07› Almost ready one calli to be tested 8 files. 8.05.26. 14:54> hubspot rate limit temp checkout 17 files, 8.05.26, 11:48> saved search delete 1 file. 27.04.26. 14:58expiration message 6 files, 27.04.26, 9:23• Up dev loas 1 fle 14.04.26. 12:02|› tem test 1 file, 24.04.26, 10:36user transformer 2 files 23.04.26 15:43email ready 9 files, 23.04.26, 15:31Email on not sent 5 files 21.04.26 19-39Planhat track interest event 2 files, 21.04.26, 13:56> Up trackina controller 1 file 20 04 26 9•221• Don't send if no s3 path (fix update to failed) 1 file, 17.04.26, 12:56• SSATIIDE CHANGEC 2 4loc 6 04 26 12:10.> web.php fix router 1 file, 1.04.26, 9:23declare(strict tvnes=):•- namesnace Jiminnv Console Commands:use Illuminate\Console\Command;-/*** Class JiminnyDebugCommand* @package Jiminny\Console\Commandsclass JiminnyDebugCommand extends Commandprotected Ssianature = "Timinnv: debuag':A console [PROD] x]& console [EU]So jiminny040 A1 A40 V 65 ^Nlabl100% 528• Wed 13 May 14:25:18U AskJiminnyReportActivityServiceTest~CascadeTrial Owner Role SeleRetactoring User Ema+0 ..I need only EmailTextRelay? changed it a bit. REveiw itRead EmailTextRelay.phpTnoughttor zsYour changes to EmailTextRelay -php look good:Changes Made:1. Multi-line method signature (lines 80-84) - Follows codina standards for better readability2. Pass SuserRepository to checkIntegrity (line 107) - Keeps dependency injection focused3. Updated checkintegrity signature (line 251) - Now accepts UserRepository SuserRepository4. Updated user lookup (line 308) - Changed from User: :where('email', $sender)->first() to suserRepository->fiReview:wulserRenositorv:findBvEmailo checks both emaii and cecondarv email fields* The dependency injection is cleaner - UserRepository is only used where needed•V Folllows the codina standards (multi- ine method sianatures))• * No breaking changes to the existing logicollers/Auth/extensionController.oho +1 -3rollers/APl/ SsoController.php +4 -2)Sso.php +8 -2Users/M ValidateSendinaMessage.ohv +6-3Ask anything (8 +L)<> Code SWE-1.6Reject allAccept all5 differencesa Shelved versiondeclare(strict_types=1);namespace Jiminny\Console\Commands;use Carbon\Carbon;use Carbon\CarbonImmutable;use Illuminate\Console\Command;use Illuminate\Support\Facades\Redis;use InvalidArgumentException;Use Jiminny Jobs Automacedkeports kequescbenerateaskJ1minnykeportJobuse Jiminny\Jobs\AutomatedReports\SendReportMailJob:use Jiminny|Jobs\Crm\Delete\VerifyActivityCrmTaskJob;use Jiminny|Jobs\Crm\MatchActivityCrmData;use Jiminny|Jobs\JobDispatcherInterface;use Jiminny\Models\Activity;f 4 spaces...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
Home...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
Home
SlackFileEditViewGoHistoryWindowHelpPRODIDOCKERDOCKER (docker-compose)docker_lamp_1docker_lamp_1₴81DEV (docker)₴82APP (-zsh2026-05-13 11:24:02 Running ['artisan'meeting-bot:schedule-bot]docker_1amp_11 '/usr/local/bin/php' 'artisan'meeting-bot: schedule-bot>*/proc/1/docker_lamp_12026-05-13 11:24:06 Running L'artisan'dialers:monitor-activities]docker_1amp_11 '/usr/local/bin/php' 'artisan' dialers:monitor-activities › */proc/docker_Lamp_12026-05-13 11:24:10 Running ['artisan' jiminny:monitor-social-account1 '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > */proc/1/fd/1'docker_lamp_12026-05-13 11:24:14 Running ['artisan' mailbox:skip-lists:refresh] •3sDONEdocker_lamp_11 '/usr/local/bin/php' 'artisan'mailbox:skip-lists:refresh › */proc/1/fd/1'2>&1docker_1amp_12026-05-13 11:24:17 Running ['artisan' mailbox:batch:process --max-batches=15]1s DONEdocker_Lamp_11 '/usr/local/bin/php' 'artisan'mailbox:batch:process --max-batches=15 >*/proc/1/fd/1' 2>&1docker_lamp_112026-05-13 11:24:19 Running ['artisan'conference:monitor:count]1S DONEdocker_1amp_11 '/usr/local/bin/php' 'artisan' conference:monitor: count > */proc/1/fd/1'2>&1docker_lamp_12026-05-13 11:24:21 Running ['artisan' activity:aircall: check-and-ren2S DONEdocker_1amp_11 '/usr/local/bin/php' 'artisan' activity:aircall: check-and-renew > '/proc/1/fd/1'2>&1docker_lamp_12026-05-13 11:24:24 Running ['artisan' track:retry-failed-downloads]1s DONEdocker_lamp_11 '/usr/local/bin/php' 'artisan' track:retry-failed-downloads › '/proc/1/fd/1'2>&1docker_lamp_1docker_lamp_1run_artisan_schedule: Done waiting for schedule:rundocker_lamp_1docker_lamp_12026-05-13 11:25:03 Running ['artisan'meeting-bot:schedule-bot] ….3s DONEdocker_lamp_11 '/usr/local/bin/php' 'artisan' meeting-bot: schedule-bot > */proc/1/fd/1' 2>&1View in Docker Desktopo View Configw Enable WatchHomeDMsActivityFilesLater...More# Support Daily • in 35 m100% (8•Wed 13 May 14:25:16ED-→Describe what you are looking forJiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...# support8 346 0• Messages• BookmarksMore v+^ Direct messageso Nikolay IvanovJames GrahamStoyan Tanev®. Galya Dimitrova LRe Steliyan GeorgievPetko Kashinskie. Aneliya Angelova&. Stefka StoyanovaB. Vasil VasilevLukas Kovalik y... OC FilesToday ~Lauren Hudson 12:38 PMHi team, this is probably a question for @JamesGraham - where are we currently at with theSalesforce App Exchange? I know this has been ablocker for quite some time now (and was a keyreason why Citation Canada churned). Citeline/Norstella is coming up for renewal in Septemberand this is a big priority for them. If we don't havethis in place, it poses a big risk. (This account is over£200K ARR). FYI @Kara Jones@Greg5 replies Last reply today at...Kara Jones 12:43 PMIs anyone else on the Product team involved in thisthat we know of?3 replies Last reply today at 1:41 PMNewLauren Hudson 2:15 PMHi support team, I had a call yesterday with BlackDiamond Networks and it wasn't recorded inJiminny (it should have been because this is afrequent call we have in the diary with them). Anyideas as to why please? (Meeting linkmeet.google.com/ycr-dfda-usx) Also, my call withNorstella had the notetaker jump in about 6 minslate. (https://app.jiminny.com/playback/968dd53c-6448-4767-ba80-93725e6a871b) Thanks!#: AppsToastMessage #support+AaJira Cloud...
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PhostormProledeyINavicatecodeFV faVsco.js?9 master PhostormProledeyINavicatecodeFV faVsco.js?9 master k© MailboxController.php= custom.log=laravel.logA SF (jiminny@localhost]4 HS_local [jiminny@localhost]& console (PROD] X A console [EU]g createlnoox.onp©TextRelayService.phpC DeleteEmallmessagesscA console [STAGING]c Processtmalsonerass© SmsRelayFailed.phgSo jiminny40 41 840 X.05select * from automated_report_results where id = 19760 MeetinaBo10 Middlewarew StreaminaC TeamTelephonyC Userc) ChangeEmailJob.pho259260DeactivateUserJob.phpc) DeleteScheduleduserAc© SetupDefaultSavedSear264© SyncTolntercom.php© SyncToPlanhat.php© SyncToUserPilot.php266© BaseProcessingJob.phpc) Dummv.loh.nhn© ImportRecallAlRecordingsJ© ImportRemoteTrackJob.phG Job.phpC.lohDicnatcher nhn© JobDispatcherInterface.ph© PurgeSoftDeletedOpportur275T SqsVisibilityControl.phpv C Listenersv @ Activitiesv @ ActivityProvider> @ JustCallTextrelayExceptionselect * TrOmaucomared reports where 10 = sosselect * from activity_searches where id = 87714;class EmailTextRelay extends Job implements ShouldQueueA30MTAV651seLecc * Tromacclvicy search tilcerswnere accivlcy search 10 = 8/7141private function checkIntegrity(GoogleGmaiZ\MessagePart Spayload, UserRepository SuserRepository)Stext = sema1l->gecv1s1dlelexc=- 652SELECT * FROM actIvities WHERE UU1d_to_ D1n 88271672-202d-4162-9d04-73ff5f0566a9' = UU1dor uuid to_ bin('47842446-af51-4bcb-854f-cc6560290101') = uuid:if (Stext === ") {throw new TextRelayException(: 'Message body is un-readable or empty.'.code: self::REASON_CODE MESSAGE BODY_EMPTYSELECT * FROM crm_configurations WHERE provider = 'hubspot":select * from rate limits:658— 666$validator = Validator::make(['data' => $text], ['data' => new SmsMessage)]):if (Svalidator->fails0) {throw new TextrelayExceptionMessade body is too larde to send as an SMS.'.code: self.•REASON CODE MESSAGE BODY TOO LARG:=663E664— 665=666 v— 647668669select * from automated_report_results where media type = 'pdf" and status = 2and id IN (18, 1872):select * from automated_reports where id = 54)SELECT * FROM users WHERE id IN (24623,29443,29613);SELECT * FROM automated_report_results WHERE uuid_to_bin('822fa41b-afd3-43a9-a248-86b0e36f3131') = uuid;select * from text_relays where created_at > '2026-05-01'# and id IN (32415, 32416);and id = 32412;Sthis->text = Stext.select * from users where team_id = 2 and email like '%scott%' and id = 29510;$sender = $this->parseSender($headers['From']):// Extract the Jiminny recipient.Srecipient = explode( separator: '@', Sthis->parseRecipient(Sheaders['To'])):Local ChangesConsoleLoa X→ = Side-by-side viewer -Do not ignoreHighlight words> JD & SendReport.Job 2 files. Todav 12:38a Base version ano/Console/Commands/.liminnvDebuaCommand.ova Shelved version• reorder calls 1 tlle, 11.05.26, 10:09> Move non paginator search calls to client-› search 1 file. 11.05.26. 10:07declare(strict tvnes=):declare (strict tvnes=1):› Almost ready one calli to be tested 8 files. 8.05.26. 14:54> hubspot rate limit temp checkout 17 files. 8.05.26. 11:48•- namesnace Jiminnv Console Commands:namesnace liminnv Console Commands.> saved search delete 1 file. 27.04.26. 14:58expiration message 6 files. 27.04.26. 9:23use Illuminate\Console\Command• Up dev loas 1 fle 14.04.26 12:02› tem test 1 file, 24.04.26, 10:36user transformer 2 files 23.04.26 15:43email ready Q files 23.04.26 15.31Email on not sent 5 files 21.04.26 19•39=- /sest* Class JiminnyDebugCommanduse Carbon\Carbon;use Carbon\CarbonImmutableuse Illuminate\Console\Commanduse Illuminate\Support\Facades Redisuce TovalidAnaumen+Fycontion•* doackage Jiminnu Console Commande• Planhat track interoct event 2 files 21.04 26 12•56> Up trackina controller 1 file 20 04 26 9•221class JiminnyDebugCommand extends Commanc• Dont cond if no c2 nath (fiv undato to failod) 1 filo 17 04 26 12.56.• ESATIIDE CHANGEC 2 4lOC 6 04 26 12-10• web.php fix router 1 file, 1.04.26, 9:23protected Ssignature = 'jiminnv:debug':17use Jiminny Jobs AutomatedReports RequestGenerateAskJiminnyReportJob:use Jiminny Jobs AutomatedReports\SendReportMailJob:use Jiminny Jobs\Crm\Delete\VerifyActivityCrmTaskJob:use Jiminny Jobs\Crm|MatchActivitvCrmData:use Jiminny Jobs\JobDispatcherInterfaceuse Jiminny Models Activity:100% 52?• Wed 13 May 14:25:15AskJiminnyReportActivityServiceTest vcascadeTrial Owner Role SeleRetactoring User EmaIneed only EmailTextRelay? | changed it a bit. REveiw itRead EmailTextRelay.phpTnoughttor zsYour changes to EmailTextRelay-php look good:Changes Made:1. Multi-line method signature (lines 80-84) - Follows codina standards for better readability2. Pass SuserRepository to checkIntegrity (line 107) - Keeps dependency injection focused3. Updated checkintegrity signature (line 251) - Now accepts UserRepository SuserRepository4. Undated user lookun (line 308) - Chanaed from User::where('emas]" Ssender)-sfirst() to SuserRenositorv->filWulserRentsitorv: :findBvEmailo checks both emaii and cecondarv email fieldsIne dependency injection is cleaner - userkepository is only used where neededFolllows the codina standards (multi-ine method sianatures)• • No breaking changes to the existing logicers/Auth/ ExtensionController.php +1 -3app/Http/Controllers/API SsoController.php +4 -2ann/Guarde/MSco.nhn +8 -21aop/Listeners/Users/1 ValidateSendinaMessage.oho +6 -3es/# ExternalldUniqueToHostValidationRule.pho +6Ask anything (8 +L)<> Code SWE-1.6Accept all5 differencesfo 4 spaces...
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PhostormProledeyINavicatecodeFV faVsco.js?9 master PhostormProledeyINavicatecodeFV faVsco.js?9 master k© MailboxController.php= custom.log=laravel.logA SF (jiminny@localhost]4 HS_local [jiminny@localhost]& console (PROD] X A console [EU]g createlnoox.onp©TextRelayService.phpC DeleteEmallmessagesscA console [STAGING]c Processtmalsonerass© SmsRelayFailed.phgSo jiminny40 41 840 X.05select * from automated_report_results where id = 19760 MeetinaBo10 Middlewarew StreaminaC TeamTelephonyC Userc) ChangeEmailJob.pho259260DeactivateUserJob.phpc) DeleteScheduleduserAc© SetupDefaultSavedSear264© SyncTolntercom.php© SyncToPlanhat.php© SyncToUserPilot.php266© BaseProcessingJob.phpc) Dummv.loh.nhn© ImportRecallAlRecordingsJ© ImportRemoteTrackJob.phG Job.phpC.lohDicnatcher nhn© JobDispatcherInterface.ph© PurgeSoftDeletedOpportur275T SqsVisibilityControl.phpv C Listenersv @ Activitiesv @ ActivityProvider> @ JustCallTextrelayExceptionselect * TrOmaucomared reports where 10 = sosselect * from activity_searches where id = 87714;class EmailTextRelay extends Job implements ShouldQueueA30MTAV651seLecc * Tromacclvicy search tilcerswnere accivlcy search 10 = 8/7141private function checkIntegrity(GoogleGmaiZ\MessagePart Spayload, UserRepository SuserRepository)Stext = sema1l->gecv1s1dlelexc=- 652SELECT * FROM actIvities WHERE UU1d_to_ D1n 88271672-202d-4162-9d04-73ff5f0566a9' = UU1dor uuid to_ bin('47842446-af51-4bcb-854f-cc6560290101') = uuid:if (Stext === ") {throw new TextRelayException(: 'Message body is un-readable or empty.'.code: self::REASON_CODE MESSAGE BODY_EMPTYSELECT * FROM crm_configurations WHERE provider = 'hubspot":select * from rate limits:658— 666$validator = Validator::make(['data' => $text], ['data' => new SmsMessage)]):if (Svalidator->fails0) {throw new TextrelayExceptionMessade body is too larde to send as an SMS.'.code: self.•REASON CODE MESSAGE BODY TOO LARG:=663E664— 665=666 v— 647668669select * from automated_report_results where media type = 'pdf" and status = 2and id IN (18, 1872):select * from automated_reports where id = 54)SELECT * FROM users WHERE id IN (24623,29443,29613);SELECT * FROM automated_report_results WHERE uuid_to_bin('822fa41b-afd3-43a9-a248-86b0e36f3131') = uuid;select * from text_relays where created_at > '2026-05-01'# and id IN (32415, 32416);and id = 32412;Sthis->text = Stext.select * from users where team_id = 2 and email like '%scott%' and id = 29510;$sender = $this->parseSender($headers['From']):// Extract the Jiminny recipient.Srecipient = explode( separator: '@', Sthis->parseRecipient(Sheaders['To'])):Local ChangesConsoleLoa X→ = Side-by-side viewer -Do not ignoreHighlight words> JD & SendReport.Job 2 files. Todav 12:38a Base version ano/Console/Commands/.liminnvDebuaCommand.ova Shelved version• reorder calls 1 tlle, 11.05.26, 10:09> Move non paginator search calls to client-› search 1 file. 11.05.26. 10:07declare(strict tvnes=):declare (strict tvnes=1):› Almost ready one calli to be tested 8 files. 8.05.26. 14:54> hubspot rate limit temp checkout 17 files. 8.05.26. 11:48•- namesnace Jiminnv Console Commands:namesnace liminnv Console Commands.> saved search delete 1 file. 27.04.26. 14:58expiration message 6 files. 27.04.26. 9:23use Illuminate\Console\Command• Up dev loas 1 fle 14.04.26 12:02› tem test 1 file, 24.04.26, 10:36user transformer 2 files 23.04.26 15:43email ready Q files 23.04.26 15.31Email on not sent 5 files 21.04.26 19•39=- /sest* Class JiminnyDebugCommanduse Carbon\Carbon;use Carbon\CarbonImmutableuse Illuminate\Console\Commanduse Illuminate\Support\Facades Redisuce TovalidAnaumen+Fycontion•* doackage Jiminnu Console Commande• Planhat track interoct event 2 files 21.04 26 12•56> Up trackina controller 1 file 20 04 26 9•221class JiminnyDebugCommand extends Commanc• Dont cond if no c2 nath (fiv undato to failod) 1 filo 17 04 26 12.56.• ESATIIDE CHANGEC 2 4lOC 6 04 26 12-10• web.php fix router 1 file, 1.04.26, 9:23protected Ssignature = 'jiminnv:debug':17use Jiminny Jobs AutomatedReports RequestGenerateAskJiminnyReportJob:use Jiminny Jobs AutomatedReports\SendReportMailJob:use Jiminny Jobs\Crm\Delete\VerifyActivityCrmTaskJob:use Jiminny Jobs\Crm|MatchActivitvCrmData:use Jiminny Jobs\JobDispatcherInterfaceuse Jiminny Models Activity:100% 52?• Wed 13 May 14:25:15AskJiminnyReportActivityServiceTest vcascadeTrial Owner Role SeleRetactoring User EmaIneed only EmailTextRelay? | changed it a bit. REveiw itRead EmailTextRelay.phpTnoughttor zsYour changes to EmailTextRelay-php look good:Changes Made:1. Multi-line method signature (lines 80-84) - Follows codina standards for better readability2. Pass SuserRepository to checkIntegrity (line 107) - Keeps dependency injection focused3. Updated checkintegrity signature (line 251) - Now accepts UserRepository SuserRepository4. Undated user lookun (line 308) - Chanaed from User::where('emas]" Ssender)-sfirst() to SuserRenositorv->filWulserRentsitorv: :findBvEmailo checks both emaii and cecondarv email fieldsIne dependency injection is cleaner - userkepository is only used where neededFolllows the codina standards (multi-ine method sianatures)• • No breaking changes to the existing logicers/Auth/ ExtensionController.php +1 -3app/Http/Controllers/API SsoController.php +4 -2ann/Guarde/MSco.nhn +8 -21aop/Listeners/Users/1 ValidateSendinaMessage.oho +6 -3es/# ExternalldUniqueToHostValidationRule.pho +6Ask anything (8 +L)<> Code SWE-1.6Accept all5 differencesfo 4 spaces...
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2026-05-13T11:25:13.499376+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671513499_m1.jpg...
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platform-tickets (Channel) - Jiminny Inc - 5 new i platform-tickets (Channel) - Jiminny Inc - 5 new items - Slack...
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
Home
Home
DMs
DMs
Activity
Activity
Files
Files
Later
Later
More…
More
Unreads
Threads
Huddles
Drafts & sent
1
Directories
jiminny-x-integration-app
platform-inner-team
ai-chapter
alerts
backend
bugs
confusion-clinic
curiosity_lab
engineering
general
jiminny-bg
platform-tickets
product_launches
random
releases
sofia-office
support
thank-yous
the_people_of_jiminny
Nikolay Ivanov
James Graham
Stoyan Tanev
Galya Dimitrova
Steliyan Georgiev
Petko Kashinski
Aneliya Angelova
Stefka Stoyanova
Vasil Vasilev
Lukas Kovalik
you
More conversations
More actions...
|
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actions","depth":20,"bounds":{"left":0.67638886,"top":0.8877778,"width":0.013888889,"height":0.022222223},"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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5036124017756661213
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-8113862901316272415
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visual_change
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hybrid
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NULL
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
Home
Home
DMs
DMs
Activity
Activity
Files
Files
Later
Later
More…
More
Unreads
Threads
Huddles
Drafts & sent
1
Directories
jiminny-x-integration-app
platform-inner-team
ai-chapter
alerts
backend
bugs
confusion-clinic
curiosity_lab
engineering
general
jiminny-bg
platform-tickets
product_launches
random
releases
sofia-office
support
thank-yous
the_people_of_jiminny
Nikolay Ivanov
James Graham
Stoyan Tanev
Galya Dimitrova
Steliyan Georgiev
Petko Kashinski
Aneliya Angelova
Stefka Stoyanova
Vasil Vasilev
Lukas Kovalik
you
More conversations
More actions
SlackFileEditViewGoHistoryWindowHelpPRODIDOCKERDOCKER (docker-compose)docker_lamp_1docker_lamp_1₴81DEV (docker)₴82APP (-zsh2026-05-13 11:24:02 Running ['artisan'meeting-bot:schedule-bot]docker_1amp_11 '/usr/local/bin/php' 'artisan'meeting-bot: schedule-bot >*/proc/1/docker_lamp_12026-05-13 11:24:06 Running L'artisan'dialers:monitor-activities]4sDONEdocker_1amp_11 '/usr/local/bin/php' 'artisan' dialers:monitor-activities › */proc/1/fd/1'2>&1docker_Lamp_12026-05-13 11:24:10 Running ['artisan' jiminny:monitor-social-account3s DONEdocker_lamp_11 '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > */proc/1/fd/1'2>&1docker_lamp_12026-05-13 11:24:14 Running ['artisan' mailbox:skip-lists:refresh] •3sDONEdocker_lamp_11 '/usr/local/bin/php' 'artisan'mailbox:skip-lists:refresh › */proc/1/fd/1'2>&1docker_1amp_12026-05-13 11:24:17 Running ['artisan' mailbox:batch:process --max-batches=15]1s DONEdocker_Lamp_11 '/usr/local/bin/php' 'artisan'mailbox:batch:process --max-batches=15 >*/proc/1/fd/1' 2>&1docker_lamp_12026-05-13 11:24:19 Running ['artisan'conference:monitor:count]1S DONEdocker_1amp_11 '/usr/local/bin/php' 'artisan' conference:monitor: count > */proc/1/fd/1'2>&1docker_lamp_12026-05-13 11:24:21 Running ['artisan' activity:aircall: check-and-ren2S DONEdocker_1amp_11 '/usr/local/bin/php' 'artisan' activity:aircall: check-and-renew > */proc/1/fd/1'2>&1docker_lamp_12026-05-13 11:24:24 Running ['artisan' track:retry-failed-downloads]1s DONEdocker_lamp_11 '/usr/local/bin/php' 'artisan' track:retry-failed-downloads › '/proc/1/fd/1'2>&1docker_lamp_1docker_lamp_1run_artisan_schedule: Done waiting for schedule:rundocker_lamp_1docker_lamp_12026-05-13 11:25:03 Running ['artisan'meeting-bot:schedule-bot] ….3s DONEdocker_lamp_11 '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot › '/proc/1/fd/1' 2>&1.View in Docker Desktopo View Configw Enable WatchHomeDMsActivityFilesLater...More# Support Daily • in 35 m100% C8• Wed 13 May 14:25:13ED-→QDescribe what you are looking forJiminny ...# contusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...# platform-tickets8146 0+^ Direct messageso Nikolay IvanovJames GrahamStoyan Tanev®. Galya DimitrovaRe Steliyan GeorgievPetko Kashinskie. Aneliya Angelova&. Stefka StoyanovaB. Vasil VasilevLukas Kovalik y... O• Messagest Add canvasO Filesmhe PrioritThursday, April 16th~Tuesday, May 5th ~Automation for Jira APP2:12 PMSRD-6835 Salesforce app issues has been raisedwith Platform team and assigned to **. The Priorityis P2 MediumAutomation for Jira APP5:01 PMSRD-6815 [Playback] Ask Jiminny odd behaviourhas been raised with Platform team and assigned toSteliyan Georgiev. The Priority is P2 MediumMonday, May 11th ~Automation for Jira APP4:38 PMSRD-6845 CRM filling is not being applied has beenraised with Platform team and assigned to **. ThePriority is **Today ~Automation for Jira APP10:42 AMSRD-6848 Sidekick SMS issue has been raised withPlatform team and assigned to **. The Priority is **NewAutomation for Jira APP 1:33 PMSRD-6849 Recorded call does not appear on thedashboard has been raised with Platform team andassigned to **. The Priority is **#:: AppsMessage #platform-ticketsToastJira Cloud+...
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34571
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1296
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24
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2026-05-13T11:25:11.336363+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671511336_m2.jpg...
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PhpStorm
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faVsco.js – EmailTextRelay.php
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1
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NULL
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monitor_2
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NULL
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NULL
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NULL
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NULL
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest...
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5222591262487654398
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-8636637129462003327
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visual_change
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hybrid
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NULL
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
PhpStormProiectVIewINavigareCodeLaravelRefactorJOOISWindowFV faVsco.js?9 master© MailboxController.php= custom.log=laravel.logA SF (jiminny@localhost]4 HS_local [jiminny@localhost]& console (PROD] X A console [EU]g createlnoox.onpC) TextRelavService.ongC DeleteEmallmessagesscA console [STAGING]c Processtmalsonerass© SmsRelayFailed.phgSo jiminny40 41 840 X.05select * from automated_report_results where id = 19760 MeetinaBo1Middlewarew StreaminaC TeamTelephonyC User259c) ChangeEmailJob.phpDeactivateUserJob.phpc) DeleteScheduleduserAc(C) SetuoDefaultSavedSean264© SyncTolntercom.php© SyncToPlanhat.php© SyncToUserPilot.php266© BaseProcessingJob.phpc) Dummv.loh.nhn© ImportRecallAlRecordingsJ© ImportRemoteTrackJob.phG Job.phpC.lohDicnatcher nhn© JobDispatcherInterface.ph© PurgeSoftDeletedOpportur275T SqsVisibilityControl.phpv C Listenersv @ Activitiesv @ ActivityProvider> @ JustCallTextrelayExceptionselect * TrOmaucomared reports where 10 = sosselect * from activity_searches where id = 87714;class EmailTextRelay extends Job implements ShouldQueueA30 K1 A V651seLecc * Tromacclvicy search tilcerswnere accivlcy search 10 = 8/7141private function checkIntegrity(GoogleGmaiZ\MessagePart Spayload, UserRepository SuserRepository)Stext = sema1l->gecv1s1dlelexc=- 652SELECT * FROM actIvities WHERE UU1d_to_ D1n 88271672-202d-4162-9d04-73ff5f0566a9' = UU1dor uuid to_ bin(•47842446-af51-4bcb-854f-cc65602901019) = uuid:if (Stext === 1') {throw new TextRelayException(Message body 1s un-readable or empcy.'.code: self::REASON_CODE MESSAGE BODY_EMPTYSELECT * FROM crm_configurations WHERE provider = 'nubspot";select * from rate limits:658— 666$validator = Validator::make(['data' => $text], ['data' => new SmsMessage)]):if (Svalidator->fails0) {throw new TextrelayExceptionMessade body is too larde to send as an SMS.')code: self.•REASON CODE MESSAGE BODY TOO LARG:=663E664— 665=666 v— 647668669select * from automated_report_results where media type = 'pdf" and status = 2and id IN (18, 1872):select * from automated_reports where id = 54)SELECT * FROM users WHERE id IN (24623,29443,29613);SELECT * FROM automated_report_results WHERE uuid_to_bin('822fa41b-afd3-43a9-a248-86b0e36f3131') = uuid;select * from text_relays where created_at > '2026-05-01'# and id IN (32415, 32416);and id = 32412;Sthis->text = Stext.select * from users where team_id = 2 and email like '%scott%' and id = 29510;$sender = $this->parseSender($headers['From']):// Extract the Jiminny recipient.Srecipient = explode( separator: '@', Sthis->parseRecipient(Sheaders['To'D)):Local ChangesConsoleDo not ignoreHighlight wordsa Base version ano/Console/Commands/.liminnvDebuaCommand.ova Shelved version• D & Sendrevor,oo Z tlle,• reorder calls 1 tlle, 11.05.26, 10:09> Move non paginator search calls to client-› search 1 file. 11.05.26. 10:07declare(strict tvnes=):declare (strict tvnes=1):› Almost ready one call to be tested 8 files, 8.05.26. 14:54> hubspot rate limit temp checkout 17 files. 8.05.26. 11:48•- namesnace Jiminnv Console Commands:namesnace liminnv Console Commands.> saved search delete 1 file. 27.04.26. 14:58expiration message 6 files. 27.04.26. 9:23• Up dev loas 1 fle 14.04.26 12:02› tem test 1 file, 24.04.26, 10:36user transformer 2 files 23.04.26 15:43email ready Q files 23.04.26 15.31Email on not sent 5 files 21.04.26 19-39use Illuminate\Console\Command=- /sest* Class JiminnyDebugCommanduse Carbon\Carbon;use Carbon\CarbonImmutableuse Illuminate\Console\Commanduse Illuminate\Support\Facades Redisuce TovalidAnaumen+Fycontion•* dpackage Jiminnu Console Commandeuse Jiminny Jobs AutomatedReports RequestGenerateAskJiminnyReportJob:uco liminnul lobelAntomotodDonontel CondDonon+Mod1 lohe• Planhat track interoct event 2 files 21 04 26 12.56> Up trackina controller 1 file 20 04 26 9•221) Mont cond if no c2 nath (fiv undato to failod) 1 filo 17 04 26 12.56.class JiminnyDebugCommand extends Commanc• ESATIIDE CHANGEC 2 4lOC 6 04 26 12-10protected Ssignature = 'jiminnv:debug':> web.php fix router 1 file, 1.04.26, 9:23ortcuts conflicts: Clone Caret Below and 1 more shortcut conflict with macOS shortcuts. Modify these shortcuts or change macOS system settings. // Modify Shortcuts // Don't Show Ag17use Jiminny Jobs\Crm\Delete\VerifyActivityCrmTaskJob:use Jiminny Jobs\Crm\MatchActivitvCrmData:use Jiminny Jobs\JobDispatcherInterfaceuse Jiminny Models Activity:suppont Dally • In 3om100% S2• Wed 13 May 14:25:11AskJiminnyReportActivityServiceTest vcascadeTrial Owner Role SeleRetactoring User EmaIneed only EmailTextRelay? | changed it a bit. REveiw itTnoughttor zsYour changes to EmailTextRelay-php look good:Changes Made:1. Multi-line method signature (lines 80-84) - Follows coding standards for better readability2. Pass SuserRepository to checkIntegrity (line 107) - Keeps dependency injection focused3. Updated checkintegrity signature (line 251) - Now accepts UserRepository SuserRepository4. Undated user lookun (line 308) - Chanaed from User::where('emas]" Ssender)-sfirst() to SuserRenositorv->filllserRersitorv: :findBvEmailo checks both emaii and cecondarv email fieldsIne dependency injection is cleaner - userkepository is only used where neededFolllows the codina standards (multi-ine method sianatures)• • No breaking changes to the existing logicers/Auth/extensionController.oho +1-3app/Http/Controllers/API SsoController.php +4 -2ann/Guarde/MSco.nhn +8 -21aop/Listeners/Users/1 ValidateSendinaMessage.oho +6 -3es/# ExternalldUniqueToHostValidationRule.pho +6Ask anything (8 +L)<> Code SWE-1.6Accept all5 differencesW Windsurf Teams#henasod...
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NULL
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34570
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1295
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21
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2026-05-13T11:25:11.414142+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778671511414_m1.jpg...
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Slack
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* platform-tickets (Channel) - Jiminny Inc - 4 new * platform-tickets (Channel) - Jiminny Inc - 4 new items - Slack...
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1
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
Home
Home
DMs
DMs
Activity
Activity
Files
Files
Later
Later
More…
More
Unreads
Threads
Huddles
Drafts & sent
1
Directories
jiminny-x-integration-app
platform-inner-team
ai-chapter
alerts
backend
bugs
confusion-clinic
curiosity_lab...
|
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2975096176822227124
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-8080419002447872281
|
click
|
hybrid
|
NULL
|
Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
Home
Home
DMs
DMs
Activity
Activity
Files
Files
Later
Later
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SlackFileEditViewGoHistoryWindowHelpPRODIDOCKERDOCKER (docker-compose)docker_lamp_1docker_lamp_1₴81DEV (docker)₴82APP (-zsh2026-05-13 11:24:02 Running ['artisan'meeting-bot:schedule-bot]docker_1amp_11 '/usr/local/bin/php' 'artisan"meeting-bot: schedule-bot >*/proc/1/2026-05-13 11:24:06 Running L'artisan'dialers:monitor-activities]4sDONEdocker_lamp_11 '/usr/local/bin/php' 'artisan' dialers:monitor-activities › */proc/1/fd/1'2>&1docker_lamp_12026-05-13 11:24:10 Running ['artisan' jiminny:monitor-social-account3s DONEdocker_lamp_11 '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1'2>&1docker_lamp_12026-05-13 11:24:14 Running ['artisan' mailbox:skip-lists:refresh]3sDONEdocker_lamp_11 '/usr/local/bin/php' 'artisan'mailbox:skip-lists:refresh › */proc/1/fd/1'2>&1docker_1amp_12026-05-13 11:24:17 Running ['artisan' mailbox:batch:process --max-batches=15]1s DONEdocker_Lamp_1L '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 >*/proc/1/fd/1' 2>&1docker_lamp_12026-05-13 11:24:19 Running ['artisan'conference:monitor:count]1S DONEdocker_1amp_11 '/usr/local/bin/php' 'artisan' conference:monitor: count > */proc/1/fd/1'2>&1docker_lamp_12026-05-13 11:24:21 Running ['artisan' activity:aircall: check-and-ren2S DONEdocker_1amp_11 '/usr/local/bin/php' 'artisan' activity:aircall: check-and-renew > */proc/1/fd/1'docker_lamp_12026-05-13 11:24:24 Running ['artisan' track:retry-failed-downloads]1s DONEdocker_lamp_11 '/usr/local/bin/php' 'artisan' track:retry-failed-downloads › '/proc/1/fd/1'2>&1docker_lamp_1docker_lamp_1run_artisan_schedule: Done waiting for schedule:rundocker_lamp_1docker_lamp_12026-05-13 11:25:03 Running ['artisan'meeting-bot:schedule-bot] ….3s DONEdocker_lamp_11 '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot › '/proc/1/fd/1' 2>&1.View in Docker Desktopo View Configw Enable WatchHomeDMsActivityFilesLater..•Morela6l→Jiminny ...ab External connections* Starred& jiminny-x-integrati...8platform-inner-teamChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general#jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...° Direct messagesNikolay Ivanovd. James GrahamTAWATERANUnread mentionsSupport Daily • in 35 m100% <28.Wed 13 May 14:25:11Describe what you are looking for# platform-tickets8146 0• Messagest Add canvasO Filesmhe PrioritThursday, April 16th~+Tuesday, May 5th ~Automation for Jira APP2:12 PMSRD-6835 Salesforce app issues has been raisedwith Platform team and assigned to **. The Priorityis P2 MediumAutomation for Jira APP5:01 PMSRD-6815 [Playback] Ask Jiminny odd behaviourhas been raised with Platform team and assigned toSteliyan Georgiev. The Priority is P2 MediumMonday, May 11th ~Automation for Jira APP 4:38 PMSRD-6845 CRM filling is not being applied has beenraised with Platform team and assigned to **. ThePriority is **Today ~Automation for Jira APP10:42 AMSRD-6848 Sidekick SMS issue has been raised withPlatform team and assigned to **. The Priority is **NewAutomation for Jira APP 1:33 PMSRD-6849 Recorded call does not appear on thedashboard has been raised with Platform team andassigned to **. The Priority is **Message #platform-tickets...
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PhpStorm
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faVsco.js – EmailTextRelay.php
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
More Actions
JetBrains AI
Search Everywhere
IDE and Project Settings...
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[{"role":"AXButton","text" [{"role":"AXButton","text":"Project: faVsco.js, menu","depth":5,"on_screen":true,"help_text":"~/jiminny/app","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"master, menu","depth":5,"on_screen":true,"help_text":"Git Branch: master<br/>Some incoming commits are not fetched<br/>","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Start Listening for PHP Debug Connections","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"AskJiminnyReportActivityServiceTest","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Run 'AskJiminnyReportActivityServiceTest'","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Debug 'AskJiminnyReportActivityServiceTest'","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"More Actions","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"JetBrains AI","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search Everywhere","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"IDE and Project Settings","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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click
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hybrid
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NULL
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
More Actions
JetBrains AI
Search Everywhere
IDE and Project Settings
SlackFileEditViewGoHistoryWindowHelpPRODIDOCKERDOCKER (docker-compose)docker_lamp_1docker_lamp_1181DEV (docker)₴82APP (-zsh2026-05-13 11:24:02 Running ['artisan'meeting-bot:schedule-bot]docker_1amp_11 '/usr/local/bin/php' 'artisan"meeting-bot: schedule-bot >*/proc/1/2026-05-13 11:24:06 Running L'artisan'dialers:monitor-activities]4sDONEdocker_lamp_11 '/usr/local/bin/php' 'artisan' dialers:monitor-activities › */proc/1/fd/1'2>&1docker_lamp_12026-05-13 11:24:10 Running ['artisan' jiminny:monitor-social-account3s DONEdocker_lamp_11 '/usr/local/bin/php' 'artisan' jiminny:monitor-social-accounts > '/proc/1/fd/1'2>&1docker_lamp_12026-05-13 11:24:14 Running ['artisan' mailbox:skip-lists:refresh]3sDONEdocker_lamp_11 '/usr/local/bin/php' 'artisan'mailbox:skip-lists:refresh › */proc/1/fd/1'2>&1docker_1amp_12026-05-13 11:24:17 Running ['artisan' mailbox:batch:process --max-batches=15]1s DONEdocker_Lamp_1L '/usr/local/bin/php' 'artisan' mailbox:batch:process --max-batches=15 >*/proc/1/fd/1' 2>&1docker_lamp_12026-05-13 11:24:19 Running ['artisan'conference:monitor:count]1S DONEdocker_1amp_11 '/usr/local/bin/php' 'artisan' conference:monitor: count > */proc/1/fd/1'2>&1docker_lamp_12026-05-13 11:24:21 Running ['artisan' activity:aircall: check-and-ren2S DONEdocker_1amp_11 '/usr/local/bin/php' 'artisan' activity:aircall: check-and-renew > */proc/1/fd/1'docker_lamp_12026-05-13 11:24:24 Running ['artisan' track:retry-failed-downloads]1s DONEdocker_lamp_11 '/usr/local/bin/php' 'artisan' track:retry-failed-downloads › '/proc/1/fd/1'2>&1docker_lamp_1docker_lamp_1run_artisan_schedule: Done waiting for schedule:rundocker_lamp_1docker_lamp_12026-05-13 11:25:03 Running ['artisan'meeting-bot:schedule-bot] ….3s DONEdocker_lamp_11 '/usr/local/bin/php' 'artisan' meeting-bot:schedule-bot › '/proc/1/fd/1' 2>&1.View in Docker Desktopo View Configw Enable WatchHomeDMsActivityFilesLater..•Morela6l→Jiminny ...ab External connections* Starred& jiminny-x-integrati...8platform-inner-teamChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general#jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...° Direct messagesNikolay Ivanovd. James GrahamTAWATERANUnread mentionsSupport Daily • in 35 m100% <28•Wed 13 May 14:25:07Describe what you are looking for# platform-tickets8146 0• Messagest Add canvasO Filesmhe PrioritThursday, April 16th~+Tuesday, May 5th ~Automation for Jira APP2:12 PMSRD-6835 Salesforce app issues has been raisedwith Platform team and assigned to **. The Priorityis P2 MediumAutomation for Jira APP5:01 PMSRD-6815 [Playback] Ask Jiminny odd behaviourhas been raised with Platform team and assigned toSteliyan Georgiev. The Priority is P2 MediumMonday, May 11th ~Automation for Jira APP 4:38 PMSRD-6845 CRM filling is not being applied has beenraised with Platform team and assigned to **. ThePriority is **Today ~Automation for Jira APP10:42 AMSRD-6848 Sidekick SMS issue has been raised withPlatform team and assigned to **. The Priority is **NewAutomation for Jira APP 1:33 PMSRD-6849 Recorded call does not appear on thedashboard has been raised with Platform team andassigned to **. The Priority is **Message #platform-tickets...
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2026-05-13T11:25:05.442796+00:00
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PhpStorm
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faVsco.js – console [PROD]
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PhostormINavigareCodeLaravelKeractor?9 master© Mai PhostormINavigareCodeLaravelKeractor?9 master© MailboxController.php|aravel.l0gA SF (jiminny@localhost]4 HS_local [jiminny@localhost]& console (PROD] X A console [EU]© UpdateBotAvatar.phTextkelayservice.ongA console [STAGING]C Uodate leamrnoto.pm Suoport© CheckTeamPlanEligibility.pvD Jobs> @ Activity0 AiAutomation0 AjReports251class EmailTextRelay extends Job implements ShouldQueueprivate function checkIntegnity(GoogleGmaiZ\MessagePart Spayload, UserRepository SuserRepository)A30 X1 A v 6290 Audio258Stext = sema1l->gecv1s1dlelexcv _ Automateakeporis© RequestGenerateAskJin259(C) KequestGeneratekeponi© SendReportExpiringSooc) senckepor.ob.ong© SendReportMailJob.php264C) SendReport NotGenerat0 Calendarv D crm266M Delete→ Huosoot268M SalesforceC) AutoloaDelavedToCrm.r271(C) CheckAndRetrvRemote!© CreateNotes.php273(c) MatchActivitiecToNewol© MatchActivityCrmData.p(6 Note@hiect nhn© SaveActivity.php© SaveTranscription.php© SetupLayout.php© SyncActivity.php© SyncFieldMetadata.php© SyncHubspotObjects.ph© SyncLeads.php© SyncObiects.php© SyncOpportunitiesJob.p© SyncOpportunity.php© SyncProfileMetadata.ph© SyncTeamFieldsJob.phgc) SuncireamMetadata.onr@ Undate@pportunitvSped(C) UodateStade oho> MDealRisksv 7 MailboxC) CreateBatches.ohoC) Createlnbox.ohog DeleteFmailMeccanes.ld295(c) SmailTeytRelav nho(C) Suneinhoy nhn> M MoptinaRotif (Stext === ") {throw new TextRelayException(: 'Message body is un-readable or empty.'.code: self::REASON_CODE MESSAGE BODY_EMPTYSvalidator = Validator: :make('data' => Stextlr 'data' => new SmsMessage 0lDs1f Svalidator->farlsonthrow new TextrelayException'Message body is too large to send as an SMS.',code: self::REASON_CODE_MESSAGE_BODY_TOO_LARGESthis->text = Stext.Scenden = Sthis->nanceSenden/Sheadenc/"From')-// Extract the Jiminny recipient.Srecipient = explode( separator: '@', Sthis->parseRecipient(Sheaders['To'))):// Check this message is intended for us.if (Srecipient(1] !== config( key: "jiminny.google_ text_host')) {throw new TextRelayException('Destination Mailbox does not match.'.code: self::REASON_CODE_MAILBOX_MISMATCH[Sfrom. Sto. Sactivitvidl = Sthis->parseRecipientIntoEntities(Srecipient[0l):Svalidator = Validator::make(['data' => $from], ['data' => 'phone: INTERNATIONAL']);if (Svalidator->fails@) {throw new TextRelavExcention('Recinient origin number is not valid.'..code: self.•REASON CODE RECIPTENT ORIGIN INVALIDSvalidator = Validator::make(['data' => $to], ['data' => 'phone:INTERNATIONAL']):1631I03211111644648650- 651=653654— 65— 65659-66662664T665666 /'- 667- 668- 669-/70icts: Clone Caret Below and 1 more shortcut conflict with macOS shortcuts. Modify these shortcuts or change macOS system settings. // Modify Shortcuts // Don't Show Again (3 minutes agoSo jiminny040 A1 A40 V 65 ^AND td.deletedat IS NULLAND td.domain = LOWER(SUBSTRING_INDEX(c.calendar_provider id.'(d', -1)0|GROUP 8Y 1.1d. t.name. calendar domaniORDER BY t.name, calendar domain:select * from users u join calendars c 1<->l.n: on c.user_id = u.idwhere U.team 1d = 8821select * from activities where id = 74049485; # team 563 crm 537select * from activities where id = 73272382; # team 563 crm 537select * from activities where id = 64400389; # team 563 crm 537select * from activities where id = 58081273; # team 563 crm 537select * from activities where id = 54520297; # team 563 crm 537select * from participants where activity_id = 58081273;select * from activities where crm_configuration_id = 537 and provider = 'aircall'and account_id = 19003658 order by updated_at desc:select * from contacts where crm confiquration id = 537 and id = 35957759:select * from accounts where crm confiquration id = 537 and id = 19003658:SUlts where 10 = 19767select * tromautomated reports where 10 = 5857select * from activity searches where id = 87714:select * tromactivity search tzlterswhere actzvitv search 1d = 87141SELECT * FROM activities WHERE uuid to bin('8827f672-202d-4162-9d04-73ff5f0566a9') = uuidor uuid to bin(•47842446-af51-4bcb-854f-cc6560290101') = uuid:SELE * FROM erm confiqurations WHERE provider = 'hubspot':select * From nate Uimits:select * fromted_report_results where media type = 'pdf' and status = 2and id IN (18, 1872);select * from automated_reports where id = 54)SELECT * FROM users WHERE id IN (24623,29443,29613);SELECT * FROM automated_report_results WHERE uuid_to_bin('822fa41b-afd3-43a9-a248-86b0e36f3131') = uuid;select * from text relays where created at > '2026-05-01'# and id IN (32415, 32416):and id = 32412:select * from users where team id = 2 and email like '%scott%' and id = 29510:suppont Dally • In 3ol100% L2• Wed 13 May 14:25:05AskJiminnyReportActivityServiceTest vcascadeTrial Owner Role SeleRetactoring User Em+0 ..Ineed only EmailTextRelay? | changed it a bit. REveiw itRead EmailTextRelay.phpTnoughttor 2s>Your changes to EmailTextRelay.php look good:Changes Made:1. Multi-line method signature (lines 80-84) - Follows codina standards for better readability2. Pass SuserRepository to checkIntegrity (line 107) - Keeps dependency injection focused3. Updated checkintegrity signature (line 251 - Now accepts UserRepository SuserRepository4. Undated user lookun (line 308) - Chanaed from User::where('emas]" Ssender)-sfirst() to SuserRenositorv->filReview:wllserReSitorv: :findBvEmailo checks both emaii and cecondarv emaii fieldsThe dependency injection is cleaner - UserRepository is only used where needed• V Folllows the codina standards (multi- ine method sianatures• • No breaking changes to the existing logicThis approach is actually better than mine - vou kept the UserRepository usage localized to checkintegrity where theucor lookun sctually hannens rather than ucina it in bandle and naccina the ticer aroundlThe fix will resolve Scott's issue if he adds rewardgateway.com as his secondary_emait in Jiminny. The SMS relay will nowtind his account when he sends from that email adaress.lo Il «.View alllapp/Services/#SocialAccountService.pho +3 -1app/Http/Controllers/Auth/ ExtensionController.php +1-3llers/API SsoController.php +4 -2annlGuardel MSco nhn 48app/Listeners/Users/ ValidateSendingMessage.php +6 -3es/# SxternalldUniqueToHostValidationRule.ohvAsk anvthina (84L)« Code SWF-1.6Reiect allAccent alliWN Windsurf Toams 282-50 UTF.9io 4 spaces...
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PhostormINavigareCodeLaravelKeractor?9 master© Mai PhostormINavigareCodeLaravelKeractor?9 master© MailboxController.php|aravel.l0gA SF (jiminny@localhost]4 HS_local [jiminny@localhost]& console (PROD] X A console [EU]© UpdateBotAvatar.phTextkelayservice.ongA console [STAGING]C Uodate leamrnoto.pm Suoport© CheckTeamPlanEligibility.pvD Jobs> @ Activity0 AiAutomation0 AjReports251class EmailTextRelay extends Job implements ShouldQueueprivate function checkIntegnity(GoogleGmaiZ\MessagePart Spayload, UserRepository SuserRepository)A30 X1 A v 6290 Audio258Stext = sema1l->gecv1s1dlelexcv _ Automateakeporis© RequestGenerateAskJin259(C) KequestGeneratekeponi© SendReportExpiringSooc) senckepor.ob.ong© SendReportMailJob.php264C) SendReport NotGenerat0 Calendarv D crm266M Delete→ Huosoot268M SalesforceC) AutoloaDelavedToCrm.r271(C) CheckAndRetrvRemote!© CreateNotes.php273(c) MatchActivitiecToNewol© MatchActivityCrmData.p(6 Note@hiect nhn© SaveActivity.php© SaveTranscription.php© SetupLayout.php© SyncActivity.php© SyncFieldMetadata.php© SyncHubspotObjects.ph© SyncLeads.php© SyncObiects.php© SyncOpportunitiesJob.p© SyncOpportunity.php© SyncProfileMetadata.ph© SyncTeamFieldsJob.phgc) SuncireamMetadata.onr@ Undate@pportunitvSped(C) UodateStade oho> MDealRisksv 7 MailboxC) CreateBatches.ohoC) Createlnbox.ohog DeleteFmailMeccanes.ld295(c) SmailTeytRelav nho(C) Suneinhoy nhn> M MoptinaRotif (Stext === ") {throw new TextRelayException(: 'Message body is un-readable or empty.'.code: self::REASON_CODE MESSAGE BODY_EMPTYSvalidator = Validator: :make('data' => Stextlr 'data' => new SmsMessage 0lDs1f Svalidator->farlsonthrow new TextrelayException'Message body is too large to send as an SMS.',code: self::REASON_CODE_MESSAGE_BODY_TOO_LARGESthis->text = Stext.Scenden = Sthis->nanceSenden/Sheadenc/"From')-// Extract the Jiminny recipient.Srecipient = explode( separator: '@', Sthis->parseRecipient(Sheaders['To'))):// Check this message is intended for us.if (Srecipient(1] !== config( key: "jiminny.google_ text_host')) {throw new TextRelayException('Destination Mailbox does not match.'.code: self::REASON_CODE_MAILBOX_MISMATCH[Sfrom. Sto. Sactivitvidl = Sthis->parseRecipientIntoEntities(Srecipient[0l):Svalidator = Validator::make(['data' => $from], ['data' => 'phone: INTERNATIONAL']);if (Svalidator->fails@) {throw new TextRelavExcention('Recinient origin number is not valid.'..code: self.•REASON CODE RECIPTENT ORIGIN INVALIDSvalidator = Validator::make(['data' => $to], ['data' => 'phone:INTERNATIONAL']):1631I03211111644648650- 651=653654— 65— 65659-66662664T665666 /'- 667- 668- 669-/70icts: Clone Caret Below and 1 more shortcut conflict with macOS shortcuts. Modify these shortcuts or change macOS system settings. // Modify Shortcuts // Don't Show Again (3 minutes agoSo jiminny040 A1 A40 V 65 ^AND td.deletedat IS NULLAND td.domain = LOWER(SUBSTRING_INDEX(c.calendar_provider id.'(d', -1)0|GROUP 8Y 1.1d. t.name. calendar domaniORDER BY t.name, calendar domain:select * from users u join calendars c 1<->l.n: on c.user_id = u.idwhere U.team 1d = 8821select * from activities where id = 74049485; # team 563 crm 537select * from activities where id = 73272382; # team 563 crm 537select * from activities where id = 64400389; # team 563 crm 537select * from activities where id = 58081273; # team 563 crm 537select * from activities where id = 54520297; # team 563 crm 537select * from participants where activity_id = 58081273;select * from activities where crm_configuration_id = 537 and provider = 'aircall'and account_id = 19003658 order by updated_at desc:select * from contacts where crm confiquration id = 537 and id = 35957759:select * from accounts where crm confiquration id = 537 and id = 19003658:SUlts where 10 = 19767select * tromautomated reports where 10 = 5857select * from activity searches where id = 87714:select * tromactivity search tzlterswhere actzvitv search 1d = 87141SELECT * FROM activities WHERE uuid to bin('8827f672-202d-4162-9d04-73ff5f0566a9') = uuidor uuid to bin(•47842446-af51-4bcb-854f-cc6560290101') = uuid:SELE * FROM erm confiqurations WHERE provider = 'hubspot':select * From nate Uimits:select * fromted_report_results where media type = 'pdf' and status = 2and id IN (18, 1872);select * from automated_reports where id = 54)SELECT * FROM users WHERE id IN (24623,29443,29613);SELECT * FROM automated_report_results WHERE uuid_to_bin('822fa41b-afd3-43a9-a248-86b0e36f3131') = uuid;select * from text relays where created at > '2026-05-01'# and id IN (32415, 32416):and id = 32412:select * from users where team id = 2 and email like '%scott%' and id = 29510:suppont Dally • In 3ol100% L2• Wed 13 May 14:25:05AskJiminnyReportActivityServiceTest vcascadeTrial Owner Role SeleRetactoring User Em+0 ..Ineed only EmailTextRelay? | changed it a bit. REveiw itRead EmailTextRelay.phpTnoughttor 2s>Your changes to EmailTextRelay.php look good:Changes Made:1. Multi-line method signature (lines 80-84) - Follows codina standards for better readability2. Pass SuserRepository to checkIntegrity (line 107) - Keeps dependency injection focused3. Updated checkintegrity signature (line 251 - Now accepts UserRepository SuserRepository4. Undated user lookun (line 308) - Chanaed from User::where('emas]" Ssender)-sfirst() to SuserRenositorv->filReview:wllserReSitorv: :findBvEmailo checks both emaii and cecondarv emaii fieldsThe dependency injection is cleaner - UserRepository is only used where needed• V Folllows the codina standards (multi- ine method sianatures• • No breaking changes to the existing logicThis approach is actually better than mine - vou kept the UserRepository usage localized to checkintegrity where theucor lookun sctually hannens rather than ucina it in bandle and naccina the ticer aroundlThe fix will resolve Scott's issue if he adds rewardgateway.com as his secondary_emait in Jiminny. The SMS relay will nowtind his account when he sends from that email adaress.lo Il «.View alllapp/Services/#SocialAccountService.pho +3 -1app/Http/Controllers/Auth/ ExtensionController.php +1-3llers/API SsoController.php +4 -2annlGuardel MSco nhn 48app/Listeners/Users/ ValidateSendingMessage.php +6 -3es/# SxternalldUniqueToHostValidationRule.ohvAsk anvthina (84L)« Code SWF-1.6Reiect allAccent alliWN Windsurf Toams 282-50 UTF.9io 4 spaces...
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