opensource-clipping tested by Argusic Runner

What the test found

FastAPI web API serves all endpoints (health returns 200, job CRUD works, settings panel responds). Pipeline renders video clips with face tracking, transcription, FFmpeg encoding — successfully produced 2 valid MP4 files from synthetic input. All 22 Python dependencies installed and importable.

Gemini AI API key not configured — skipping AI analysis is expected. Mocked AI responses for pipeline test. torchaudio needed downgrade from 2.11.1 (NVIDIA CUDA build) to 2.6.0 (CPU build) for pyannote.audio compatibility. AV library needed downgrade from 19.x to 13.x. No GPU available; CPU fallback works correctly for all components. Web API server serves /api/health, /api/settings, /api/jobs/*, /api/outputs/*, SSE streaming.

Argusic installed opensource-clipping in 5 minutes and launched it; verification reached Verified with mock services. 3 of 3 recorded errors were worked through (see the timeline below).

Runs with mocksall runs of opensource-clipping

This summary is drawn from the agent's recorded report for this run. Every figure traces to the log and recording above; nothing here is authored.