diff --git a/src/plugins/schedule/schedule_llm_module.py b/src/plugins/schedule/schedule_llm_module.py
index cf88a865..1fcad52d 100644
--- a/src/plugins/schedule/schedule_llm_module.py
+++ b/src/plugins/schedule/schedule_llm_module.py
@@ -23,7 +23,7 @@ class LLMModel:
             self.model_name = model_name
         self.params = kwargs
 
-    async def generate_response(self, prompt: str) -> Tuple[str, str]:
+    def generate_response(self, prompt: str) -> Tuple[str, str]:
         """根据输入的提示生成模型的响应"""
         headers = {
             "Authorization": f"Bearer {self.api_key}",
@@ -42,17 +42,16 @@ class LLMModel:
         api_url = f"{self.base_url.rstrip('/')}/chat/completions"
         
         try:
-            async with aiohttp.ClientSession() as session:
-                async with session.post(api_url, headers=headers, json=data) as response:
-                    response.raise_for_status()  # 检查响应状态
-                    
-                    result = await response.json()
-                    if "choices" in result and len(result["choices"]) > 0:
-                        content = result["choices"][0]["message"]["content"]
-                        reasoning_content = result["choices"][0]["message"].get("reasoning_content", "")
-                        return content, reasoning_content  # 返回内容和推理内容
-                    return "没有返回结果", ""  # 返回两个值
-                    
+            response = requests.post(api_url, headers=headers, json=data)
+            response.raise_for_status()  # 检查响应状态
+            
+            result = response.json()
+            if "choices" in result and len(result["choices"]) > 0:
+                content = result["choices"][0]["message"]["content"]
+                reasoning_content = result["choices"][0]["message"].get("reasoning_content", "")
+                return content, reasoning_content  # 返回内容和推理内容
+            return "没有返回结果", ""  # 返回两个值
+                
         except Exception as e:
             return f"请求失败: {str(e)}", ""  # 返回错误信息和空字符串