diff --git a/cores/qqbot/core.py b/cores/qqbot/core.py
index c2c8b7f60..775593591 100644
--- a/cores/qqbot/core.py
+++ b/cores/qqbot/core.py
@@ -6,22 +6,26 @@ import cores.openai.core
 import re
 from util.errors.errors import PromptExceededError
 from botpy.message import DirectMessage
+import json
 
 chatgpt = ""
+db = ""
 session_dict = {}
 max_tokens = 2000
 
 class botClient(botpy.Client):
     async def on_at_message_create(self, message: Message):
-        await oper_msg(message=message)
+        await oper_msg(message=message, at=True)
 
     async def on_direct_message_create(self, message: DirectMessage):
         print(message.content)
-        await oper_msg(message=message)
+        await oper_msg(message=message, at=False)
 
-def initBot(chatgpt_inst):
+def initBot(chatgpt_inst, db_inst):
     global chatgpt
     chatgpt = chatgpt_inst
+    global db
+    db = db_inst
     global max_tokens
     max_tokens = int(chatgpt_inst.getConfigs()['total_tokens_limit'])
     with open("./configs/config.yaml", 'r', encoding='utf-8') as ymlfile:
@@ -43,17 +47,17 @@ async def get_chatGPT_response(prompts_str):
     chatgpt_res = res.strip()
     return res, usage
 
-def get_prompts_by_cache_list(cache_prompt_list, divide=False, paging=False, size=5, page=1):
+def get_prompts_by_cache_list(cache_data_list, divide=False, paging=False, size=5, page=1):
     prompts = ""
     if paging:
         page_begin = (page-1)*size
         page_end = page*size
         if page_begin < 0:
             page_begin = 0
-        if page_end > len(cache_prompt_list):
-            page_end = len(cache_prompt_list)
-        cache_prompt_list = cache_prompt_list[page_begin:page_end]
-    for item in cache_prompt_list:
+        if page_end > len(cache_data_list):
+            page_end = len(cache_data_list)
+        cache_data_list = cache_data_list[page_begin:page_end]
+    for item in cache_data_list:
         prompts += str(item['prompt'])
         if divide:
             prompts += "----------\n"
@@ -65,16 +69,18 @@ def get_user_usage_tokens(cache_list):
         usage_tokens += int(item['single_tokens'])
     return usage_tokens
 
-async def oper_msg(message):
+async def oper_msg(message, at=False):
     print("[QQBOT] 接收到消息："+ message.content)
     qq_msg = ""
-    # 过滤用户id
-    pattern = r"<@!\d+>\s+(.+)"
-    # 多行匹配
-    pattern = re.compile(pattern, flags=re.MULTILINE)
-    result = re.search(pattern, message.content)
-    if result:
-        qq_msg = result.group(1).strip()
+
+    if at:
+        # 过滤用户id
+        pattern = r"<@!\d+>\s+(.+)"
+        # 多行匹配
+        pattern = re.compile(pattern, flags=re.MULTILINE)
+        result = re.search(pattern, message.content)
+        if result:
+            qq_msg = result.group(1).strip()
 
     # 检测用户id，返回对应缓存的prompt
     # session_id_pattern = r"<@!\d+>"
@@ -106,8 +112,8 @@ async def oper_msg(message):
 
         # 获取缓存
         cache_prompt = ''
-        cache_prompt_list = session_dict[session_id]
-        cache_prompt = get_prompts_by_cache_list(cache_prompt_list)
+        cache_data_list = session_dict[session_id]
+        cache_prompt = get_prompts_by_cache_list(cache_data_list)
         cache_prompt += "Human: "+ qq_msg + "\nAI: "
         # 请求chatGPT获得结果
         try:
@@ -117,7 +123,7 @@ async def oper_msg(message):
             
             # 超过4097tokens错误，清空缓存
             session_dict[session_id] = []
-            cache_prompt_list = []
+            cache_data_list = []
             cache_prompt = "Human: "+ qq_msg + "\nAI: "
             chatgpt_res, current_usage_tokens = await get_chatGPT_response(cache_prompt)
 
@@ -132,16 +138,16 @@ async def oper_msg(message):
                 t -= int(cache_list[index]['single_tokens'])
                 index += 1
             session_dict[session_id] = cache_list[index:]
-            cache_prompt_list = session_dict[session_id]
-            cache_prompt = get_prompts_by_cache_list(cache_prompt_list)
+            cache_data_list = session_dict[session_id]
+            cache_prompt = get_prompts_by_cache_list(cache_data_list)
 
         # cache_prompt += chatgpt_res + "\n";
         # 添加新条目进入缓存的prompt
-        if len(cache_prompt_list) > 0: 
+        if len(cache_data_list) > 0: 
             single_record = {
                 "prompt": f'Human: {qq_msg}\nAI: {chatgpt_res}\n',
                 "usage_tokens": current_usage_tokens,
-                "single_tokens": current_usage_tokens - int(cache_prompt_list[-1]['usage_tokens'])
+                "single_tokens": current_usage_tokens - int(cache_data_list[-1]['usage_tokens'])
             }
         else:
             single_record = {
@@ -150,8 +156,9 @@ async def oper_msg(message):
                 "single_tokens": current_usage_tokens
             }
         # print(single_record)
-        cache_prompt_list.append(single_record)
-        session_dict[session_id] = cache_prompt_list
+        cache_data_list.append(single_record)
+
+        session_dict[session_id] = cache_data_list
 
         # #检测是否存在url，如果存在，则去除url 防止被qq频道过滤
         chatgpt_res = chatgpt_res.replace(".", " . ")