Ti ddlZddlZddlmZmZmZmZddlmZddl m Z ddl m Z ddl mZddlmZmZddlmZd eeefd dfd Zy) N)DictAnyListOptional) ToolInfoJson) db_service)langgraph_multi_agent)send_to_websocket)add_stream_taskremove_stream_task) ModelInfodatareturnc K|jdg}|jdd}|jdd}|jdi}|jdg}td||jd}t|d k(ri|d jd d}tj||jd |jd |t |t r|ddndd{t|d kDrHtj||djddtj|dd{ndtjt||||||}t|| |d{t!|t#|ddid{y77d7*#tjj$rtd|dYVwxYw7=#t!|t#|ddid{7wxYww)a Handle an incoming chat request. Workflow: - Parse incoming chat data. - Optionally inject system prompt. - Save chat session and messages to the database. - Launch langgraph_agent task to process chat. - Manage stream task lifecycle (add, remove). - Notify frontend via WebSocket when stream is done. Args: data (dict): Chat request data containing: - messages: list of message dicts - session_id: unique session identifier - canvas_id: canvas identifier (contextual use) - text_model: text model configuration - tool_list: list of tool model configurations (images/videos) messages session_id canvas_id text_model tool_listu👇 chat_service got tool_list system_promptrcontentmodelproviderNroleuseru 🛑Session z cancelled during streamtypedone)getprintlenrcreate_chat_session isinstancestrcreate_messagejsondumpsasyncio create_taskr r exceptionsCancelledErrorr r ) rrrrrrrprompttasks O/home/jay/workspace/tools/ai-image-gen/jaaz-app/server/services/chat_service.py handle_chatr2s>*&*XXj"%=Hhh|R0JXXk2.I HH\26J$(HH["$=I +Y7$(88O#F)?F+HG H'H)F++,GGGGHH<G?=HH)r+r)typingrrrrmodels.tool_modelrservices.db_servicerservices.langgraph_servicer services.websocket_servicer services.stream_servicer r models.config_modelr r'r2r1r<sB ,,+*<8G): DcN: t: r;