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
..
__init__.py	feat: Phase 1.1 project setup with config, database, and models	2026-04-22 16:13:52 +08:00
config.py	feat(llm): add VLLM_ENGINE env flag for provider-specific extra_body format	2026-04-28 13:30:27 +08:00
database.py	fix(backend): add embed_query method to EmbeddingFunctionWrapper for ChromaDB query	2026-04-24 10:15:08 +08:00
dependencies.py	feat(history): Phase 3.5 — Query History backend (service, API, timing, XML capture)	2026-04-25 22:59:53 +08:00
sqlite_db.py	feat: track highlight generation prompt, response, and timing in history (Phase 5.5)	2026-04-29 11:18:21 +08:00