jlightner 29f6e74b4f pipeline: run stages inline instead of Celery chain dispatch ... Each video now completes all stages (2→6) before the worker picks up the next queued video. Previously, dispatching celery_chain for multiple videos caused interleaved execution — nothing finished until everything went through all stages. Now run_pipeline calls each stage function synchronously within the same worker task, so videos complete linearly and efficiently.		2026-04-01 11:39:21 +00:00
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quality	optimize: Stage 5 synthesis prompt — round 0 winner (0.95→1.0 composite)	2026-04-01 10:15:24 +00:00
__init__.py	fix: restore complete project tree from ub01 canonical state	2026-03-31 02:10:41 +00:00
embedding_client.py	fix: restore complete project tree from ub01 canonical state	2026-03-31 02:10:41 +00:00
llm_client.py	fix: Pipeline LLM audit — temperature=0, realistic token ratios, structured request_params	2026-04-01 07:20:09 +00:00
qdrant_client.py	fix: Parallel search with match_context, deterministic Qdrant IDs, raised embedding timeout	2026-04-01 06:54:34 +00:00
schemas.py	fix: Moment-to-page linking via moment_indices in stage 5 synthesis	2026-04-01 00:34:37 -05:00
stages.py	pipeline: run stages inline instead of Celery chain dispatch	2026-04-01 11:39:21 +00:00