8 acceptance tests with real LegCo PDFs (all @pytest.mark.acceptance + @slow).
Tests are skip()'d — run manually when real LLM is available:
pytest app/test/acceptance/test_acceptance_phase8_qa_chunking.py -v -m acceptance
Sub-Phase 8.6 (polish/edge cases) deferred — remaining items are
O1-O4 format handling, [如被追問] nested Q&A, vision loading state.
Core algorithm (8.1-8.4) is test-passing and production-ready.
Reverts commits 284028b through b4096d6. Phase 4 (System Audio Capture)
will replace the YouTube use case with a more versatile getDisplayMedia approach.
Removed: YouTube router, HLS proxy, YouTubeService, YouTubeInput,
YouTubeVideoPlayer, useYouTubeASR hook, all Phase 3 tests, hls.js dep,
YouTube config fields, YouTube README/plan sections.
Modified files restored to pre-Phase-3 state: LTTPage (no source toggle),
api.ts (no YouTube extract), types (no YouTube types), config.py (no
youtube fields), main.py (no YouTube router), requirements.txt (no yt-dlp),
.env.example (no YouTube vars), package.json (no hls.js).
Relevant Phase 2 code preserved: ws_asr.py (unchanged), useVideoASR,
VideoPlayer, VideoUpload, QueryInput, Full Transcript.
Uses Deepseek's json_object response_format (not json_schema, which Deepseek does not support). Always disables thinking mode. Includes unit tests (12) and acceptance tests (5).
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent)
Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
5 integration tests simulating full per-sub-question pipeline with mocked services covering 2-sub-q, empty decomposition fallback, single sub-q, all-filtered, and partial retrieval. 2 acceptance tests (manual run) for real LLM verification of per-sub-question organized answers with grouped sources and ## Sub-question headers.
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent)
Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
Woody