feat: 新增需求理解并实现human in loop

app/processor/nodes/clarify_node.py

@@ -1,5 +1,7 @@
 """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
@@ -16,23 +18,20 @@ class ClarifyNode(BaseNode):
         intent = state["intent"]
         print(intent)
         print("=================")
-        if intent == "unclear":
-            llm = get_llm(Clarification)
-            clarification = await llm.ainvoke(
-                [
-                    SystemMessage(content=CLARIFY_SYSTEM_PROMPT),
-                    HumanMessage(
-                        content=state["input_context"].model_dump_json(
-                            exclude_unset=True
-                        )
-                    ),
-                ]
-            )
-        else:
-            # 需求理解已经给出问题，直接复用
-            clarification = Clarification(
-                question=state["requirement"].clarification_question
-            )
+        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}
 
 
@@ -54,7 +53,9 @@ if __name__ == "__main__":
             }
         }
         try:
-            final_state = await query_app.ainvoke(state)
+            final_state = await query_app.ainvoke(
+                state, config={"configurable": {"thread_id": "clarify-test"}}
+            )
         finally:
             await close_decision_engine()
         print(
@@ -67,6 +68,7 @@ if __name__ == "__main__":
                 },
                 ensure_ascii=False,
                 indent=2,
+                default=str,
             )
         )