hyungi_document_server

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hyungi 118f32f9b1 refactor(ai): PR #20 reframe cleanup — Ollama LLM 잔재 주석 정정

PR #20 (2026-05-14, GPU LLM 제거 + Mac mini 26B MLX 흡수) 의 swap 이
backends.json + 코드 주석/docstring 까지 따라가지 못한 표현 잔재 정리.

- app/ai/client.py: AIClient docstring 및 call_triage / call_fallback
  docstring 의 "4B Ollama" → "Mac mini 26B MLX" / "현재는 triage 와
  동일 엔드포인트" → "Claude Sonnet 4 API (PR #20 swap 완료)"
- app/core/config.py: triage/primary/fallback 주석 통합 + Phase 3.5
  classifier/verifier 주석에 PR #20 endpoint 명시 (history 보존)
- app/services/search/{llm_gate,classifier_service,verifier_service,
  evidence_service}.py: "fallback(Ollama)" / "Ollama concurrent OK"
  / "triage(4B Ollama)" 표현을 Mac mini 26B MLX endpoint 기준으로
  정정 + concurrent 안전성 별 검토 마커 추가
- app/services/digest/summarizer.py: "MLX hang/Ollama stall 방어"
  → "MLX hang / fallback Claude API stall 방어"
- app/services/prompt_versions.py: SUMMARY_TRIAGE_TASK + ASK_PROMPT_VERSION
  주석의 "4B Ollama" / "4B gemma Ollama" → Mac mini 26B MLX
- app/workers/classify_worker.py: B-1 tier triage docstring 정정

코드 동작 변경 0 (주석/docstring 만). embed_worker / study_question_embed_worker
의 "Ollama bge-m3" 표현은 사실 정확이라 유지.

검증:
- ollama list → bge-m3:latest 잔존 (embedding owner)
- /api/embeddings probe → 1024-dim 200 OK
- fastapi embed/ollama error 0 (last 10min)
- document.hyungi.net 200

plan: ~/.claude/plans/4-stateless-dongarra.md

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-05-15 12:09:15 +00:00

__init__.py

feat: scaffold v2 project structure with Docker, FastAPI, and config

2026-04-02 10:20:15 +09:00

auth.py

feat(auth): voice-memo bot 365d access token (PoC v1)

2026-05-13 12:24:18 +09:00

config.py

refactor(ai): PR #20 reframe cleanup — Ollama LLM 잔재 주석 정정

2026-05-15 12:09:15 +00:00

database.py

feat(ask): Phase 3.5b guardrails — verifier + telemetry + grounding 강화