diff --git a/src/plugins/memory_system/llm_module.py b/src/plugins/memory_system/llm_module.py
index 3dea3538..a5516012 100644
--- a/src/plugins/memory_system/llm_module.py
+++ b/src/plugins/memory_system/llm_module.py
@@ -44,12 +44,4 @@ class LLMModel:
             return "没有返回结果", ""  # 返回两个值
             
         except requests.exceptions.RequestException as e:
-            return f"请求失败: {str(e)}", ""  # 返回错误信息和空字符串
-
-# 示例用法
-if __name__ == "__main__":
-    model = LLMModel()  # 默认使用 DeepSeek-V3 模型
-    prompt = "你好，你喜欢我吗？"
-    result, reasoning = model.generate_response(prompt)
-    print("回复内容:", result)
-    print("推理内容:", reasoning)
\ No newline at end of file
+            return f"请求失败: {str(e)}", ""  # 返回错误信息和空字符串
\ No newline at end of file
diff --git a/src/plugins/memory_system/memory.py b/src/plugins/memory_system/memory.py
index f63373db..d8f644d7 100644
--- a/src/plugins/memory_system/memory.py
+++ b/src/plugins/memory_system/memory.py
@@ -91,22 +91,6 @@ class Memory_graph:
                 chat_text += f'[{time_str}] {record["user_nickname"] or "用户" + str(record["user_id"])}: {record["processed_plain_text"]}\n'  # 添加发送者和时间信息
             return chat_text
         
-        # all_record = list(self.db.db.messages.aggregate([
-        #     {"$match": {"time": {"$exists": True}}},  # 只选择有时间戳的记录
-        #     {"$group": {"_id": "$group_id", "records": {"$push": "$$ROOT"}}},
-        #     {"$unwind": "$records"},
-        #     {"$sort": {"records.time": 1}}
-        # ]))
-        # for record in all_record:
-        #     if 'time' in record:
-        #         time_str = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(int(record['time'])));
-        #     else:
-        #         print(f"记录中缺少'time'键: {record}")
-        #         continue  # 跳过没有时间的记录
-        #     chat_text.append(f'[{time_str}] {record["user_nickname"] or "用户" + str(record["user_id"])}: {record["processed_plain_text"]}')  # 添加发送者和时间信息
-        # return chat_text
-        
-        
         return []  # 如果没有找到记录，返回空列表
 
     def save_graph_to_db(self):