feat:添加名称等待兜底；添加提及必回；移除subplan模型；

src/chat/heart_flow/heartFC_chat.py

@@ -199,7 +199,7 @@ class HeartFChatting:
             # !处理no_reply_until_call逻辑
             if self.no_reply_until_call:
                 for message in recent_messages_list:
-                    if message.is_mentioned or message.is_at:
+                    if message.is_mentioned or message.is_at or len(recent_messages_list) >= 8 or time.time() - self.last_read_time > 600:
                         self.no_reply_until_call = False
                         break
                 # 没有提到，继续保持沉默
@@ -333,6 +333,31 @@ class HeartFChatting:
                     loop_start_time=self.last_read_time,
                     available_actions=available_actions,
                 )
+                
+            
+            # !此处使at或者提及必定回复
+            metioned_message = None
+            for message in recent_messages_list:
+                if (message.is_mentioned or message.is_at) and global_config.chat.mentioned_bot_reply:
+                    metioned_message = message
+            
+            has_reply = False
+            for action in action_to_use_info:
+                if action.action_type == "reply":
+                    has_reply =True
+                    break
+                
+            if not has_reply and metioned_message:
+                action_to_use_info.append(
+                    ActionPlannerInfo(
+                        action_type="reply",
+                        reasoning="有人提到了你，进行回复",
+                        action_data={},
+                        action_message=metioned_message,
+                        available_actions=available_actions,
+                    )
+                )
+            
 
             # 3. 并行执行所有动作
             action_tasks = [
@@ -350,18 +375,15 @@ class HeartFChatting:
             reply_text_from_reply = ""
             action_success = False
             action_reply_text = ""
-            action_command = ""
 
             for i, result in enumerate(results):
                 if isinstance(result, BaseException):
                     logger.error(f"{self.log_prefix} 动作执行异常: {result}")
                     continue
 
-                _cur_action = action_to_use_info[i]
                 if result["action_type"] != "reply":
                     action_success = result["success"]
                     action_reply_text = result["reply_text"]
-                    action_command = result.get("command", "")
                 elif result["action_type"] == "reply":
                     if result["success"]:
                         reply_loop_info = result["loop_info"]
@@ -377,7 +399,6 @@ class HeartFChatting:
                 loop_info["loop_action_info"].update(
                     {
                         "action_taken": action_success,
-                        "command": action_command,
                         "taken_time": time.time(),
                     }
                 )
@@ -391,7 +412,6 @@ class HeartFChatting:
                     "loop_action_info": {
                         "action_taken": action_success,
                         "reply_text": action_reply_text,
-                        "command": action_command,
                         "taken_time": time.time(),
                     },
                 }

src/chat/planner_actions/planner.py

@@ -71,14 +71,6 @@ no_reply_until_call
     "action": "no_reply_until_call",
 }}
 
-wait_time
-动作描述：
-沉默等待时间，等待一段时间后回复
-{{
-    "action": "wait_time",
-    "time":"等待时间",
-}}
-
 {action_options_text}
 
 请选择合适的action，并说明触发action的消息id和选择该action的原因。消息id格式:m+数字
@@ -175,7 +167,7 @@ class ActionPlanner:
         try:
             action = action_json.get("action", "no_action")
             reasoning = action_json.get("reason", "未提供原因")
-            action_data = {key: value for key, value in action_json.items() if key not in ["action", "reasoning"]}
+            action_data = {key: value for key, value in action_json.items() if key not in ["action", "reason"]}
             # 非no_action动作需要target_message_id
             target_message = None
             

src/config/api_ada_configs.py

@@ -117,9 +117,6 @@ class ModelTaskConfig(ConfigBase):
     planner: TaskConfig
     """规划模型配置"""
 
-    planner_small: TaskConfig
-    """副规划模型配置"""
-
     embedding: TaskConfig
     """嵌入模型配置"""
 

src/config/official_configs.py

@@ -72,6 +72,9 @@ class ChatConfig(ConfigBase):
     planner_size: float = 1.5
     """副规划器大小，越小，麦麦的动作执行能力越精细，但是消耗更多token，调大可以缓解429类错误"""
 
+    mentioned_bot_reply: bool = True
+    """是否启用提及必回复"""
+
     at_bot_inevitable_reply: float = 1
     """@bot 必然回复，1为100%回复，0为不额外增幅"""
 

template/bot_config_template.toml

@@ -50,7 +50,8 @@ expression_groups = [
 
 
 [chat] #麦麦的聊天设置
-talk_value = 1.5 
+talk_value = 1
+mentioned_bot_reply = true # 是否启用提及必回复
 max_context_size = 20 # 上下文长度
 
 [relationship]

template/model_config_template.toml

@@ -1,5 +1,5 @@
 [inner]
-version = "1.5.0"
+version = "1.6.0"
 
 # 配置文件版本号迭代规则同bot_config.toml
 
@@ -113,11 +113,6 @@ model_list = ["siliconflow-deepseek-v3"]
 temperature = 0.3
 max_tokens = 800
 
-[model_task_config.planner_small] #副决策：负责决定麦麦该做什么的模型
-model_list = ["qwen3-30b"]
-temperature = 0.3
-max_tokens = 800
-
 [model_task_config.emotion] #负责麦麦的情绪变化
 model_list = ["qwen3-30b"]
 temperature = 0.7