diff --git a/app_chatgpt/models/ai_robot.py b/app_chatgpt/models/ai_robot.py
index b41a90c7..421e6ba6 100644
--- a/app_chatgpt/models/ai_robot.py
+++ b/app_chatgpt/models/ai_robot.py
@@ -105,26 +105,26 @@ GPT-3	A set of models that can understand and generate natural language
     def action_disconnect(self):
         requests.delete('https://chatgpt.com/v1/disconnect')
         
-    def get_ai(self, data, author_id=False, answer_id=False, **kwargs):
+    def get_ai(self, data, author_id=False, answer_id=False, param={}):
         #     通用方法
         # author_id: 请求的 partner_id 对象
         # answer_id: 回答的 partner_id 对象
         # kwargs，dict 形式的可变参数
         self.ensure_one()
         # 前置勾子，一般返回 False，有问题返回响应内容
-        res_pre = self.get_ai_pre(data, author_id, answer_id, **kwargs)
+        res_pre = self.get_ai_pre(data, author_id, answer_id, param)
         if res_pre:
             return res_pre
         if hasattr(self, 'get_%s' % self.provider):
-            res = getattr(self, 'get_%s' % self.provider)(data, author_id, answer_id, **kwargs)
+            res = getattr(self, 'get_%s' % self.provider)(data, author_id, answer_id, param)
         else:
             res = _('No robot provider found')
         
         # 后置勾子，返回处理后的内容，用于处理敏感词等
-        res_post = self.get_ai_post(res, author_id, answer_id, **kwargs)
+        res_post = self.get_ai_post(res, author_id, answer_id,  param)
         return res_post
 
-    def get_ai_pre(self, data, author_id=False, answer_id=False, **kwargs):
+    def get_ai_pre(self, data, author_id=False, answer_id=False, param={}):
         if self.is_filtering:
             search = WordsSearch()
             search.SetKeywords([])
@@ -135,7 +135,7 @@ GPT-3	A set of models that can understand and generate natural language
         else:
             return False
     
-    def get_ai_post(self, res, author_id=False, answer_id=False, **kwargs):
+    def get_ai_post(self, res, author_id=False, answer_id=False, param={}):
         if res and author_id and isinstance(res, openai.openai_object.OpenAIObject) or isinstance(res, list):
             usage = json.loads(json.dumps(res['usage']))
             content = json.loads(json.dumps(res['choices'][0]['message']['content']))
@@ -213,12 +213,20 @@ GPT-3	A set of models that can understand and generate natural language
             r_text = 'No response.'
         raise UserError(r_text)
 
-    def get_openai(self, data, author_id, answer_id, **kwargs):
+    def get_openai(self, data, author_id, answer_id, param={}):
         self.ensure_one()
         headers = {"Content-Type": "application/json", "Authorization": f"Bearer {self.openapi_api_key}"}
         R_TIMEOUT = self.ai_timeout or 120
         o_url = self.endpoint or "https://api.openai.com/v1/chat/completions"
 
+        # 处理传参，传过来的优先于 robot 默认的
+        max_tokens = param.get('max_tokens') or self.max_tokens or 600,
+        temperature = param.get('temperature') or self.temperature or 0.9,
+        top_p = param.get('top_p') or self.top_p or 0.6,
+        frequency_penalty = param.get('frequency_penalty') or self.frequency_penalty or 0.5,
+        presence_penalty = param.get('presence_penalty') or self.presence_penalty or 0.5,
+        # request_timeout = param.get('request_timeout') or self.ai_timeout or 120,
+        
         if self.stop:
             stop = self.stop.split(',')
         else:
@@ -234,9 +242,10 @@ GPT-3	A set of models that can understand and generate natural language
                 messages = [{"role": "user", "content": data}]
             # Ai角色设定，如果没设定则再处理
             if messages[0].get('role') != 'system':
-                sys_content = self.get_ai_system(kwargs.get('sys_content'))
+                sys_content = self.get_ai_system(param.get('sys_content'))
                 if sys_content:
                     messages.insert(0, sys_content)
+            #         暂时不变
             response = openai.ChatCompletion.create(
                 model=self.ai_model,
                 messages=messages,
@@ -268,11 +277,11 @@ GPT-3	A set of models that can understand and generate natural language
                 "model": self.ai_model,
                 "prompt": data,
                 "temperature": 0.9,
-                "max_tokens": self.max_tokens or 1000,
+                "max_tokens": max_tokens,
                 "top_p": 1,
                 "frequency_penalty": 0.0,
                 "presence_penalty": 0.6,
-                "stop": ["Human:", "AI:"]
+                "stop": stop
             }
             response = requests.post(o_url, data=json.dumps(pdata), headers=headers, timeout=R_TIMEOUT)
             res = response.json()
@@ -282,7 +291,7 @@ GPT-3	A set of models that can understand and generate natural language
     
         return _("Response Timeout, please speak again.")
 
-    def get_azure(self, data, author_id, answer_id, **kwargs):
+    def get_azure(self, data, author_id, answer_id, param={}):
         self.ensure_one()
         # only for azure
         openai.api_type = self.provider
@@ -301,13 +310,21 @@ GPT-3	A set of models that can understand and generate natural language
             messages = data
         else:
             messages = [{"role": "user", "content": data}]
-        # Ai角色设定
+
+        # 处理传参，传过来的优先于 robot 默认的
+        max_tokens = param.get('max_tokens') or self.max_tokens or 600,
+        temperature = param.get('temperature') or self.temperature or 0.9,
+        top_p = param.get('top_p') or self.top_p or 0.6,
+        frequency_penalty = param.get('frequency_penalty') or self.frequency_penalty or 0.5,
+        presence_penalty = param.get('presence_penalty') or self.presence_penalty or 0.5,
+        # request_timeout = param.get('request_timeout') or self.ai_timeout or 120,
 
         # Ai角色设定，如果没设定则再处理
-        if messages[0].role != 'system':
-            sys_content = self.get_ai_system(kwargs.get('sys_content'))
+        if messages[0].get('role') != 'system':
+            sys_content = self.get_ai_system(param.get('sys_content'))
             if sys_content:
                 messages.insert(0, sys_content)
+        #         暂时不变
         response = openai.ChatCompletion.create(
             engine=self.engine,
             messages=messages,
diff --git a/app_chatgpt/models/mail_channel.py b/app_chatgpt/models/mail_channel.py
index a5e2b153..f008709e 100644
--- a/app_chatgpt/models/mail_channel.py
+++ b/app_chatgpt/models/mail_channel.py
@@ -52,10 +52,16 @@ class Channel(models.Model):
             })
         return context_history
 
+    def get_ai_config(self, ai):
+        # 勾子，用于取ai 配置
+        return {}
+    
     def get_ai_response(self, ai, messages, channel, user_id, message):
         author_id = message.create_uid.partner_id
         answer_id = user_id.partner_id
-        res = ai.get_ai(messages, author_id, answer_id)
+        # todo: 只有个人配置的群聊才给配置
+        param = self.get_ai_config(ai)
+        res = ai.get_ai(messages, author_id, answer_id, param)
         if res:
             res = res.replace('\n', '<br/>')
             channel.with_user(user_id).message_post(body=res, message_type='comment', subtype_xmlid='mail.mt_comment', parent_id=message.id)
@@ -120,7 +126,8 @@ class Channel(models.Model):
         if message.body == _('<div class="o_mail_notification">joined the channel</div>'):
             msg = _("Please warmly welcome our new partner %s and send him the best wishes.") % message.author_id.name
         else:
-            msg = message.preview.replace('@%s' % answer_id.name, '').lstrip()
+            # 不能用 preview， 如果用 : 提示词则 preview信息丢失
+            msg = message.description.replace('@%s' % answer_id.name, '').lstrip()
         
         if not msg:
             return rdata
@@ -142,7 +149,6 @@ class Channel(models.Model):
         # print('self.channel_type :',self.channel_type)
         if ai:
             # 非4版本，取0次。其它取3 次历史
-            # todo: channel中只有2个人，1个是ai，1个不是的时候，直接用ai回话，不用处理 @
             chat_count = 0 if '4' in ai.ai_model else 3
             if author_id != answer_id.id and self.channel_type == 'chat':
                 # 私聊