bugfix：修复部分提示词导致的格式错误问题及langfuse客户端复用bug

app/processor/nodes/clarify_node.py

@@ -2,7 +2,9 @@
 
 import json
 
+from langchain_core.exceptions import OutputParserException
 from langchain_core.messages import HumanMessage, SystemMessage
+from pydantic import ValidationError
 
 from app.clients.llm import get_llm
 from app.processor.base import BaseNode
@@ -28,14 +30,39 @@ class ClarifyNode(BaseNode):
             payload["requirement"] = state["requirement"].model_dump(mode="json")
 
         llm_client = get_llm(Clarification)
-        clarification = await llm_client.ainvoke(
-            [
-                SystemMessage(content=CLARIFY_SYSTEM_PROMPT),
-                HumanMessage(content=json.dumps(payload, ensure_ascii=False)),
-            ]
-        )
+        messages = [
+            SystemMessage(content=CLARIFY_SYSTEM_PROMPT),
+            HumanMessage(content=json.dumps(payload, ensure_ascii=False)),
+        ]
+
+        # 格式错误重试一次
+        for attempt in range(2):
+            try:
+                clarification = await llm_client.ainvoke(messages)
+                break
+            except (ValidationError, OutputParserException):
+                if attempt == 0:
+                    # 要求重新生成完整问题，避免截断选项改变原意
+                    messages.append(
+                        HumanMessage(
+                            content=(
+                                "上次输出未通过 Clarification 格式校验，请重新生成完整结果："
+                                "question 为非空问题，options 为空或含 2–3 项，"
+                                "每项包含唯一 id、非空 label 和 description，最多一个 recommended=true"
+                            )
+                        )
+                    )
+                    continue
+                # 连续格式失败时退回自由回答，需求阶段沿用已确定的问题
+                requirement = state.get("requirement") if intent != "unclear" else None
+                question = (
+                    requirement.clarification_question if requirement else None
+                ) or "你希望我对当前大屏做什么？可以描述想修改的内容，或想了解的问题"
+                clarification = Clarification(question=question)
 
         updated_state["clarification"] = clarification
+        # 在进入 interrupt 前保存等待状态，暂停中的节点尚不会返回更新
+        updated_state["status"] = "waiting_for_input"
         return updated_state
 
 

app/processor/nodes/input_node.py

@@ -68,6 +68,8 @@ class InputNode(BaseNode):
         updated_state["retry_count"] = 0
         updated_state["repair_plan"] = None
         updated_state["failure_reason"] = None
+        # 首次请求进入处理状态，恢复澄清时也使用同一状态
+        updated_state["status"] = "running"
         return updated_state
 
 

app/processor/nodes/qa_node.py

@@ -28,6 +28,8 @@ class QANode(BaseNode):
         if not answer:
             raise ValueError("问答模型未返回文本回答")
         updated_state["answer"] = answer
+        # 回答生成完成，问答分支在此结束
+        updated_state["status"] = "completed"
         return updated_state
 
 

app/processor/nodes/validator_node.py

@@ -15,6 +15,8 @@ class ValidatorNode(BaseNode):
 
     def process(self, state: QueryState) -> QueryState:
         updated_state: QueryState = state.copy()
+        # 校验失败仍可能进入修正循环，最终失败由 Fallback 标记
+        updated_state["status"] = "running"
         actions = state["actions"]
         try:
             # 重新校验模型内容，避免赋值后绕过字段校验
@@ -130,6 +132,8 @@ class ValidatorNode(BaseNode):
         updated_state["validation_errors"] = []
         # 保存整批动作执行后的 JSON，供后续检查，不代表前端已经完成更新
         updated_state["simulated_screen"] = screen
+        # 仅表示后端动作已通过校验，前端执行结果需另行反馈
+        updated_state["status"] = "completed"
         return updated_state