feat: 添加了读空气功能

src/plugins/chat/config.py

@@ -16,7 +16,7 @@ class BotConfig:
     """机器人配置类"""
     
     # 基础配置
-    MONGODB_HOST: str = "127.0.0.1"
+    MONGODB_HOST: str = "mongodb"
     MONGODB_PORT: int = 27017
     DATABASE_NAME: str = "MegBot"
     MONGODB_USERNAME: Optional[str] = None  # 默认空值
@@ -47,6 +47,7 @@ class BotConfig:
     MODEL_R1_DISTILL_PROBABILITY: float = 0.1  # R1蒸馏模型概率
     
     enable_advance_output: bool = False  # 是否启用高级输出
+    enable_kuuki_read: bool = True # 是否启用读空气功能
     
     @staticmethod
     def get_default_config_path() -> str:

src/plugins/chat/llm_generator.py

@@ -91,7 +91,7 @@ class LLMResponseGenerator:
             relationship_value = 0.0
             
         # 构建prompt
-        prompt = prompt_builder._build_prompt(
+        prompt,prompt_check = prompt_builder._build_prompt(
             message_txt=message.processed_plain_text,
             sender_name=sender_name,
             relationship_value=relationship_value,
@@ -106,6 +106,14 @@ class LLMResponseGenerator:
             "max_tokens": 1024,
             "temperature": 0.7
         }
+
+        default_params_check = {
+            "model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
+            "messages": [{"role": "user", "content": prompt_check}],
+            "stream": False,
+            "max_tokens": 1024,
+            "temperature": 0.7
+        }
         
         # 更新参数
         if model_params:
@@ -114,7 +122,43 @@ class LLMResponseGenerator:
         def create_completion():
             return self.client.chat.completions.create(**default_params)
         
+        def create_completion_check():
+            return self.client.chat.completions.create(**default_params_check)
+
         loop = asyncio.get_event_loop()
+
+        # 读空气模块
+        reasoning_content_check=''
+        content_check=''
+        if global_config.enable_kuuki_read:
+            response_check = await loop.run_in_executor(None, create_completion_check)
+            if response_check:
+                reasoning_content_check = ""
+                if hasattr(response_check.choices[0].message, "reasoning"):
+                    reasoning_content_check = response_check.choices[0].message.reasoning or reasoning_content_check
+                elif hasattr(response_check.choices[0].message, "reasoning_content"):
+                    reasoning_content_check = response_check.choices[0].message.reasoning_content or reasoning_content_check
+                content_check = response_check.choices[0].message.content
+                print(f"\033[1;32m[读空气]\033[0m 读空气结果为{content_check}")
+                if 'yes' not in content_check.lower():
+                    self.db.db.reasoning_logs.insert_one({
+                        'time': time.time(),
+                        'group_id': message.group_id,
+                        'user': sender_name,
+                        'message': message.processed_plain_text,
+                        'model': model_name,
+                        'reasoning_check': reasoning_content_check,
+                        'response_check': content_check,
+                        'reasoning': "",
+                        'response': "",
+                        'prompt': prompt,
+                        'prompt_check': prompt_check,
+                        'model_params': default_params
+                    })
+                    return None
+        
+            
+
         response = await loop.run_in_executor(None, create_completion)
         
         # 检查响应内容
@@ -142,9 +186,12 @@ class LLMResponseGenerator:
             'user': sender_name,
             'message': message.processed_plain_text,
             'model': model_name,
+            'reasoning_check': reasoning_content_check,
+            'response_check': content_check,
             'reasoning': reasoning_content,
             'response': content,
             'prompt': prompt,
+            'prompt_check': prompt_check,
             'model_params': default_params
         })
         

src/plugins/chat/prompt_builder.py

@@ -186,8 +186,18 @@ class PromptBuilder:
         prompt += f"{prompt_personality}\n"
         prompt += f"{prompt_ger}\n"
         prompt += f"{extra_info}\n"     
+
+        activate_prompt_check=f"以上是群里正在进行的聊天，昵称为 '{sender_name}' 的用户说的:{message_txt}。引起了你的注意,你和他{relation_prompt}，你想要{relation_prompt_2}，但是这不一定是合适的时机，请你决定是否要回应这条消息。"     
+        prompt_personality_check = ''
+        extra_check_info=f"请注意把握群里的聊天内容的基础上，综合群内的氛围，例如，和{global_config.BOT_NICKNAME}相关的话题要积极回复,如果是at自己的消息一定要回复，如果自己正在和别人聊天一定要回复，其他话题如果合适搭话也可以回复，如果认为应该回复请输出yes，否则输出no，请注意是决定是否需要回复，而不是编写回复内容，除了yes和no不要输出任何回复内容。"
+        if personality_choice < 4/6:  # 第一种人格
+            prompt_personality_check = f'''你的网名叫{global_config.BOT_NICKNAME}，曾经是一个学习地质的女大学生，现在学习心理学和脑科学，你会刷贴吧，你正在浏览qq群,{promt_info_prompt} {activate_prompt_check} {extra_check_info}'''
+        elif personality_choice < 1:  # 第二种人格
+            prompt_personality_check = f'''你的网名叫{global_config.BOT_NICKNAME}，是一个女大学生，你有黑色头发，你会刷小红书, 你正在浏览qq群,{promt_info_prompt} {activate_prompt_check} {extra_check_info}'''
+
+        prompt_check_if_response=f"{prompt_info}\n{prompt_date}\n{chat_talking_prompt}\n{prompt_personality_check}"
         
-        return prompt
+        return prompt,prompt_check_if_response
 
     def get_prompt_info(self,message:str,threshold:float):
         related_info = ''

src/plugins/chat/willing_manager.py

@@ -58,7 +58,7 @@ class WillingManager:
         if group_id in config.talk_frequency_down_groups:
             reply_probability = reply_probability / 3.5
             
-        if is_mentioned_bot and user_id == int(1026294844):
+        if is_mentioned_bot and user_id == int(964959351):
             reply_probability = 1
             
         return reply_probability