"""整理澄清问题,等待用户补充""" import json from langchain_core.messages import HumanMessage, SystemMessage from app.clients.llm import get_llm from app.processor.base import BaseNode from app.processor.state import QueryState from app.prompt.clarify import CLARIFY_SYSTEM_PROMPT from app.schemas.clarification import Clarification class ClarifyNode(BaseNode): name = "clarify_node" async def process(self, state: QueryState) -> QueryState: intent = state["intent"] print(intent) print("=================") payload = { "intent": intent, "input_context": state["input_context"].model_dump(mode="json"), } if intent != "unclear": # 以需求节点的问题为依据补齐选项,不重新判断意图 payload["requirement"] = state["requirement"].model_dump(mode="json") llm = get_llm(Clarification) clarification = await llm.ainvoke( [ SystemMessage(content=CLARIFY_SYSTEM_PROMPT), HumanMessage(content=json.dumps(payload, ensure_ascii=False)), ] ) return {**state, "clarification": clarification} if __name__ == "__main__": import asyncio import json from pydantic import BaseModel from app.clients.decision import close_decision_engine from app.processor.graph import query_app async def main(): # 修改请求,通过完整流程测试澄清分支 state: QueryState = { "request": { "prompt": "这个图不太对", "screen": {"canvas": {"width": 1920, "height": 1080}, "nodes": []}, } } try: final_state = await query_app.ainvoke( state, config={"configurable": {"thread_id": "clarify-test"}} ) finally: await close_decision_engine() print( json.dumps( { key: value.model_dump(mode="json") if isinstance(value, BaseModel) else value for key, value in final_state.items() }, ensure_ascii=False, indent=2, default=str, ) ) asyncio.run(main())