fix: 语音消息暂存本地 修复显示异常

api/agents/conversation_agent.py

@@ -44,9 +44,17 @@ class ConversationAgent:
                 messages.append(AIMessage(content=msg["content"]))
         return messages
     
-    async def _save_message(self, conversation_id: str, role: str, content: str):
+    async def _save_message(
+        self,
+        conversation_id: str,
+        role: str,
+        content: str,
+        message_type: str = "text",
+    ):
         """保存消息到 Redis"""
-        await redis_service.add_message(conversation_id, role, content)
+        await redis_service.add_message(
+            conversation_id, role, content, message_type=message_type
+        )
     
     def _format_history_string(self, messages: List[Any]) -> str:
         """将消息列表格式化为字符串（用于 prompt）"""
@@ -236,6 +244,7 @@ class ConversationAgent:
         missing_fields: List[str],
         filled_fields: Dict[str, str],
         nickname: str = "",
+        is_from_voice: bool = False,
     ) -> List[str]:
         """在资料收集过程中生成跟进回复"""
         if not self.llm:
@@ -250,7 +259,8 @@ class ConversationAgent:
             response = await self.llm.ainvoke(full_prompt)
             response_text = response.content if hasattr(response, 'content') else str(response)
 
-            await self._save_message(conversation_id, "human", user_message)
+            human_msg_type = "audio" if is_from_voice else "text"
+            await self._save_message(conversation_id, "human", user_message, message_type=human_msg_type)
             await self._save_message(conversation_id, "ai", response_text)
 
             messages = [msg.strip() for msg in response_text.split("[SPLIT]") if msg.strip()]
@@ -285,6 +295,7 @@ class ConversationAgent:
         user_message: str,
         memoir_state: MemoirStateSchema,
         user_profile_context: str = "",
+        is_from_voice: bool = False,
     ) -> List[str]:
         """
         基于共享状态异步生成引导式回复
@@ -294,6 +305,7 @@ class ConversationAgent:
             user_message: 用户消息
             memoir_state: 共享状态
             user_profile_context: 用户基础资料上下文
+            is_from_voice: 用户消息是否来自语音转写（用于保存正确的 messageType）
 
         Returns:
             Agent 回应文本列表（支持多条消息）
@@ -333,13 +345,14 @@ class ConversationAgent:
             
             response = await self.llm.ainvoke(full_prompt)
             response_text = response.content if hasattr(response, 'content') else str(response)
-            
-            await self._save_message(conversation_id, "human", user_message)
+
+            human_msg_type = "audio" if is_from_voice else "text"
+            await self._save_message(conversation_id, "human", user_message, message_type=human_msg_type)
             await self._save_message(conversation_id, "ai", response_text)
-            
+
             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(f"生成回应失败: {e}")
             return [f"抱歉，生成回应时出现错误: {str(e)}"]