Woody 41f59b396f feat: track highlight generation prompt, response, and timing in history (Phase 5.5) ... - Add 3 columns to query_history: highlight_prompt, highlight_response, highlight_time_ms - HistoryService.update_highlights() updates existing row after batch LLM call - ChunkHighlightService measures timing, captures prompt and structured JSON response - SSE completed event includes history_id for frontend to pass back - Frontend captures historyId, passes as ?history_id= query param in batch POST - Highlight time tracked separately (excluded from total_time_ms) - All 153 tests pass (108 backend + 45 frontend)		2026-04-29 11:18:21 +08:00
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__init__.py	feat: Phase 1.1 project setup with config, database, and models	2026-04-22 16:13:52 +08:00
common.py	feat: structured LLM output for decompose + citation fuzzy matching (Phase 5)	2026-04-28 15:39:17 +08:00
decompose.py	feat: structured LLM output for decompose + citation fuzzy matching (Phase 5)	2026-04-28 15:39:17 +08:00
documents.py	feat(backend): add documents CRUD service methods and Pydantic schemas	2026-04-23 19:02:07 +08:00
highlight.py	feat: track highlight generation prompt, response, and timing in history (Phase 5.5)	2026-04-29 11:18:21 +08:00
history.py	feat: track highlight generation prompt, response, and timing in history (Phase 5.5)	2026-04-29 11:18:21 +08:00
ingest.py	refactor(backend): update Pydantic models for ingestion and query	2026-04-23 13:26:20 +08:00
prompts.py	feat(prompts): add JSON export/import for profile prompt configurations	2026-04-27 19:44:35 +08:00
query.py	feat(models): add SubQuestionSources model and per-sub-q history fields	2026-04-26 23:28:19 +08:00