大修_execute_request炸程序的问题

src/heart_flow/heartflow.py

@@ -18,7 +18,7 @@ heartflow_config = LogConfig(
 logger = get_module_logger("heartflow", config=heartflow_config)
 
 
-class CuttentState:
+class CurrentState:
     def __init__(self):
         self.willing = 0
         self.current_state_info = ""
@@ -34,7 +34,7 @@ class Heartflow:
     def __init__(self):
         self.current_mind = "你什么也没想"
         self.past_mind = []
-        self.current_state: CuttentState = CuttentState()
+        self.current_state: CurrentState = CurrentState()
         self.llm_model = LLM_request(
             model=global_config.llm_heartflow, temperature=0.6, max_tokens=1000, request_type="heart_flow"
         )
@@ -102,7 +102,11 @@ class Heartflow:
         current_thinking_info = self.current_mind
         mood_info = self.current_state.mood
         related_memory_info = "memory"
-        sub_flows_info = await self.get_all_subheartflows_minds()
+        try:
+            sub_flows_info = await self.get_all_subheartflows_minds()
+        except Exception as e:
+            logger.error(f"获取子心流的想法失败: {e}")
+            return
 
         schedule_info = bot_schedule.get_current_num_task(num=4, time_info=True)
 
@@ -111,26 +115,29 @@ class Heartflow:
         prompt += f"{personality_info}\n"
         prompt += f"你想起来{related_memory_info}。"
         prompt += f"刚刚你的主要想法是{current_thinking_info}。"
-        prompt += f"你还有一些小想法，因为你在参加不同的群聊天，是你正在做的事情：{sub_flows_info}\n"
+        prompt += f"你还有一些小想法，因为你在参加不同的群聊天，这是你正在做的事情：{sub_flows_info}\n"
         prompt += f"你现在{mood_info}。"
         prompt += "现在你接下去继续思考，产生新的想法，但是要基于原有的主要想法，不要分点输出，"
         prompt += "输出连贯的内心独白，不要太长，但是记得结合上述的消息，关注新内容:"
 
-        reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
+        try:
+            response, reasoning_content = await self.llm_model.generate_response_async(prompt)
+        except Exception as e:
+            logger.error(f"内心独白获取失败: {e}")
+            return
+        self.update_current_mind(response)
 
-        self.update_current_mind(reponse)
-
-        self.current_mind = reponse
+        self.current_mind = response
         logger.info(f"麦麦的总体脑内状态：{self.current_mind}")
         # logger.info("麦麦想了想，当前活动:")
         # await bot_schedule.move_doing(self.current_mind)
 
         for _, subheartflow in self._subheartflows.items():
-            subheartflow.main_heartflow_info = reponse
+            subheartflow.main_heartflow_info = response
 
-    def update_current_mind(self, reponse):
+    def update_current_mind(self, response):
         self.past_mind.append(self.current_mind)
-        self.current_mind = reponse
+        self.current_mind = response
 
     async def get_all_subheartflows_minds(self):
         sub_minds = ""
@@ -167,9 +174,9 @@ class Heartflow:
         prompt += """现在请你总结这些聊天内容，注意关注聊天内容对原有的想法的影响，输出连贯的内心独白
         不要太长，但是记得结合上述的消息，要记得你的人设，关注新内容:"""
 
-        reponse, reasoning_content = await self.llm_model.generate_response_async(prompt)
+        response, reasoning_content = await self.llm_model.generate_response_async(prompt)
 
-        return reponse
+        return response
 
     def create_subheartflow(self, subheartflow_id):
         """