shinalok
68f741af72
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>
