chore/ 删除无用文件

api/app/agents/chat/profile_agent.py

@@ -2,6 +2,7 @@
 ProfileAgent：用户资料收集 Specialist
 负责提取资料、资料追问、资料收集开场白，不负责 Redis 持久化（由 Orchestrator 统一处理）
 """
+
 import json
 from typing import Any, Dict, List, Optional
 
@@ -47,7 +48,9 @@ class ProfileAgent:
         recent_dialogue = ""
         if conversation_id:
             history_messages = await get_history_messages(conversation_id)
-            recent = history_messages[-4:] if len(history_messages) > 4 else history_messages
+            recent = (
+                history_messages[-4:] if len(history_messages) > 4 else history_messages
+            )
             parts = []
             for msg in recent:
                 if isinstance(msg, HumanMessage):
@@ -105,10 +108,16 @@ class ProfileAgent:
             )
             history_messages = await get_history_messages(conversation_id)
             history_string = format_history_string(history_messages)
-            full_prompt = f"{prompt}\n\n{history_string}\n\nHuman: {user_message}\n\nAssistant:"
+            full_prompt = (
+                f"{prompt}\n\n{history_string}\n\nHuman: {user_message}\n\nAssistant:"
+            )
             response = await self.llm.ainvoke(full_prompt)
-            response_text = response.content if hasattr(response, "content") else str(response)
-            messages = [msg.strip() for msg in response_text.split("[SPLIT]") if msg.strip()]
+            response_text = (
+                response.content if hasattr(response, "content") else str(response)
+            )
+            messages = [
+                msg.strip() for msg in response_text.split("[SPLIT]") if msg.strip()
+            ]
             return messages[:3] if messages else [response_text]
         except Exception as e:
             logger.error("生成资料跟进回复失败: %s", e)
@@ -129,9 +138,15 @@ class ProfileAgent:
             history_string = format_history_string(history_messages)
             full_prompt = f"{prompt}\n\n{history_string}" if history_string else prompt
             response = await self.llm.ainvoke(full_prompt)
-            response_text = response.content if hasattr(response, "content") else str(response)
-            messages = [msg.strip() for msg in response_text.split("[SPLIT]") if msg.strip()]
+            response_text = (
+                response.content if hasattr(response, "content") else str(response)
+            )
+            messages = [
+                msg.strip() for msg in response_text.split("[SPLIT]") if msg.strip()
+            ]
             return messages[:2] if messages else [response_text]
         except Exception as e:
             logger.error("生成资料收集开场白失败: %s", e)
-            return ["你好！在我们开始聊人生故事之前，能先简单介绍一下你自己吗？比如你是哪一年出生的？"]
+            return [
+                "你好！在我们开始聊人生故事之前，能先简单介绍一下你自己吗？比如你是哪一年出生的？"
+            ]