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shinalok/youlbot

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Author	SHA1	Message	Date
shinalok	68f741af72	Phase 17: Multimodal image understanding via analyze_image tool Dual-model approach (C): Qwen3-8B handles conversation, Qwen2.5-VL-7B analyzes images on demand via analyze_image LangChain tool. - services/model/mlx_vision_model.py: MlxVisionModel (mlx-vlm wrapper, lazy load) - services/agent/tools.py: make_vision_tool(vision_model, image_path) - agent_service.py: stream_response(image_path=None), dynamic tool binding via config["image_path"] — thread-safe per-request rebinding - container.py: vision_model Singleton provider - config.py: vision_enabled, vision_model_id, vision_max_tokens - api.py: image_base64 in ChatRequest, decode to temp file, cleanup after stream Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-06-02 13:52:10 +09:00
shinalok	e9a6d00059	Phase 23: WebUI separation — api.py + youlbot-webui project - api.py: /chat SSE done event now includes run_id for feedback linking (format: data: {"__done": true, "run_id": "uuid"}) - api.py: Add POST /feedback endpoint with LangSmith integration - ROADMAP.md: Add Phase 23 documentation Note: youlbot-webui/ created at /Users/sal/workspace/youlbot-webui/ (separate project, tracked independently) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-05-30 22:00:22 +09:00
shinalok	2e9e8a33fe	Implement Phase 22: REST API (FastAPI + SSE streaming) - api.py: FastAPI 앱 신규 생성 - GET /health, POST /chat (SSE), POST /reset, POST /ingest, GET/DELETE /documents - SSE 포맷: data: <JSON 토큰>\n\n / data: [DONE]\n\n - Bearer Token 인증 (API_TOKEN 미설정 시 개발 모드) - user_id 파라미터로 멀티유저 지원 (기존 AgentService·DB 구조 재사용) - config.py: api_token 필드 추가 - app.py: _get_agent에 query_rewrite_enabled 누락 수정 - requirements.txt: fastapi, uvicorn[standard], python-multipart 추가 - ROADMAP: Phase 22 ✅, Telegram Bot 클라이언트 예시 추가 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>	2026-05-29 20:11:49 +09:00

Author

SHA1

Message

Date

shinalok

68f741af72

Phase 17: Multimodal image understanding via analyze_image tool

Dual-model approach (C): Qwen3-8B handles conversation, Qwen2.5-VL-7B
analyzes images on demand via analyze_image LangChain tool.

- services/model/mlx_vision_model.py: MlxVisionModel (mlx-vlm wrapper, lazy load)
- services/agent/tools.py: make_vision_tool(vision_model, image_path)
- agent_service.py: stream_response(image_path=None), dynamic tool binding
  via config["image_path"] — thread-safe per-request rebinding
- container.py: vision_model Singleton provider
- config.py: vision_enabled, vision_model_id, vision_max_tokens
- api.py: image_base64 in ChatRequest, decode to temp file, cleanup after stream

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-06-02 13:52:10 +09:00

shinalok

e9a6d00059

Phase 23: WebUI separation — api.py + youlbot-webui project

- api.py: /chat SSE done event now includes run_id for feedback linking
  (format: data: {"__done": true, "run_id": "uuid"})
- api.py: Add POST /feedback endpoint with LangSmith integration
- ROADMAP.md: Add Phase 23 documentation

Note: youlbot-webui/ created at /Users/sal/workspace/youlbot-webui/
(separate project, tracked independently)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-05-30 22:00:22 +09:00

shinalok

2e9e8a33fe

Implement Phase 22: REST API (FastAPI + SSE streaming)

- api.py: FastAPI 앱 신규 생성
  - GET /health, POST /chat (SSE), POST /reset, POST /ingest, GET/DELETE /documents
  - SSE 포맷: data: <JSON 토큰>\n\n / data: [DONE]\n\n
  - Bearer Token 인증 (API_TOKEN 미설정 시 개발 모드)
  - user_id 파라미터로 멀티유저 지원 (기존 AgentService·DB 구조 재사용)
- config.py: api_token 필드 추가
- app.py: _get_agent에 query_rewrite_enabled 누락 수정
- requirements.txt: fastapi, uvicorn[standard], python-multipart 추가
- ROADMAP: Phase 22 ✅, Telegram Bot 클라이언트 예시 추가

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-05-29 20:11:49 +09:00

3 Commits