legco_ai_assistant/backend/app/services
Woody bdbc8ea1a0 feat: add SQLite highlight cache service (Phase 5.4.3)
- highlight_cache.py: HighlightCache class with get/set_highlight and
  compute_cache_key (sha256 hash of document_id|chunk_index|sub_question)
- INSERT OR REPLACE semantics, idempotent table creation
- 13 tests covering round-trip, overwrite, missing keys, determinism
2026-04-29 09:26:20 +08:00
..
__init__.py feat: Phase 1.1 project setup with config, database, and models 2026-04-22 16:13:52 +08:00
embedding_client.py feat(backend): add embedding client and update LLM client 2026-04-23 13:26:43 +08:00
highlight_cache.py feat: add SQLite highlight cache service (Phase 5.4.3) 2026-04-29 09:26:20 +08:00
history_service.py feat(db): update history schema and generate prompt template for Package 4 2026-04-26 23:28:28 +08:00
llm_client.py feat(llm): log structured LLM response and extra_body 2026-04-28 16:50:26 +08:00
prompt_service.py feat(prompts): integrate filter_per_subq with PromptService, fix seed bugs, restructure UI 2026-04-27 11:14:27 +08:00
query_decomposer.py feat: structured LLM output for decompose + citation fuzzy matching (Phase 5) 2026-04-28 15:39:17 +08:00
rag.py feat: structured LLM output for decompose + citation fuzzy matching (Phase 5) 2026-04-28 15:39:17 +08:00
relevance_filter.py fix(relevance): tolerate LLM score count mismatches via padding instead of discarding 2026-04-27 14:31:18 +08:00