完成其他部分对返回值处理的修改

src/plugins/chat/llm_generator.py

@@ -175,7 +175,7 @@ class ResponseGenerator:
             """
 
             # 调用模型生成结果
-            result, _ = await self.model_v25.generate_response(prompt)
+            result, _, _ = await self.model_v25.generate_response(prompt)
             result = result.strip()
 
             # 解析模型输出的结果
@@ -216,7 +216,7 @@ class InitiativeMessageGenerate:
         topic_select_prompt, dots_for_select, prompt_template = prompt_builder._build_initiative_prompt_select(
             message.group_id
         )
-        content_select, reasoning = self.model_v3.generate_response(topic_select_prompt)
+        content_select, reasoning, _ = self.model_v3.generate_response(topic_select_prompt)
         logger.debug(f"{content_select} {reasoning}")
         topics_list = [dot[0] for dot in dots_for_select]
         if content_select:
@@ -227,7 +227,7 @@ class InitiativeMessageGenerate:
         else:
             return None
         prompt_check, memory = prompt_builder._build_initiative_prompt_check(select_dot[1], prompt_template)
-        content_check, reasoning_check = self.model_v3.generate_response(prompt_check)
+        content_check, reasoning_check, _ = self.model_v3.generate_response(prompt_check)
         logger.info(f"{content_check} {reasoning_check}")
         if "yes" not in content_check.lower():
             return None

src/plugins/chat/topic_identifier.py

@@ -33,7 +33,7 @@ class TopicIdentifier:
 消息内容：{text}"""
 
         # 使用 LLM_request 类进行请求
-        topic, _ = await self.llm_topic_judge.generate_response(prompt)
+        topic, _, _ = await self.llm_topic_judge.generate_response(prompt)
 
         if not topic:
             logger.error("LLM API 返回为空")

src/plugins/models/utils_model.py

@@ -522,7 +522,7 @@ class LLM_request:
             return {"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"}
             # 防止小朋友们截图自己的key
 
-    async def generate_response(self, prompt: str) -> Tuple[str, str]:
+    async def generate_response(self, prompt: str) -> Tuple[str, str, str]:
         """根据输入的提示生成模型的异步响应"""
 
         content, reasoning_content = await self._execute_request(endpoint="/chat/completions", prompt=prompt)

src/plugins/schedule/schedule_generator.py

@@ -73,7 +73,7 @@ class ScheduleGenerator:
             )
 
             try:
-                schedule_text, _ = await self.llm_scheduler.generate_response(prompt)
+                schedule_text, _, _ = await self.llm_scheduler.generate_response(prompt)
                 db.schedule.insert_one({"date": date_str, "schedule": schedule_text})
                 self.enable_output = True
             except Exception as e: