feat(chat): refactor logging and integrate no_reply system action

将日志前缀管理集中到context，新增willing_manager依赖，并把no_reply提升为系统级可用动作

- CycleProcessor 统一改从 context 获取 log_prefix
- HeartFChatting 引入 willing_manager
- ResponseHandler _send_response -> send_response 去下划线统一对外接口
- ActionPlanner 将 no_reply 添加至 current_available_actions

src/chat/chat_loop/cycle_processor.py

@@ -30,9 +30,7 @@ class CycleProcessor:
             context: HFC聊天上下文对象，包含聊天流、能量值等信息
             response_handler: 响应处理器，负责生成和发送回复
             cycle_tracker: 循环跟踪器，负责记录和管理每次思考循环的信息
-        """
-        self.log_prefix = f"[{get_chat_manager().get_stream_name(self.stream_id) or self.stream_id}]"
-        
+        """    
         self.context = context
         self.response_handler = response_handler
         self.cycle_tracker = cycle_tracker
@@ -40,7 +38,9 @@ class CycleProcessor:
         self.action_modifier = ActionModifier(
             action_manager=self.context.action_manager, chat_id=self.context.stream_id
         )
-        
+
+        self.log_prefix = self.context.log_prefix
+
     async def _send_and_store_reply(
         self,
         response_set,
@@ -52,7 +52,7 @@ class CycleProcessor:
         plan_result,
     ) -> Tuple[Dict[str, Any], str, Dict[str, float]]:
         with Timer("回复发送", cycle_timers):
-            reply_text = await self._send_response(response_set, reply_to_str, loop_start_time, action_message)
+            reply_text = await self.response_handler.send_response(response_set, reply_to_str, loop_start_time, action_message)
 
             # 存储reply action信息
         person_info_manager = get_person_info_manager()
@@ -64,7 +64,7 @@ class CycleProcessor:
         action_prompt_display = f"你对{person_name}进行了回复：{reply_text}"
 
         await database_api.store_action_info(
-            chat_stream=self.chat_stream,
+            chat_stream=self.context.chat_stream,
             action_build_into_prompt=False,
             action_prompt_display=action_prompt_display,
             action_done=True,
@@ -248,7 +248,7 @@ class CycleProcessor:
                     gather_timeout = global_config.chat.thinking_timeout
                     try:
                         response_set = await asyncio.wait_for(
-                            self.response_handler._generate_response(
+                            self.response_handler.generate_response(
                                 message_data=action_info["action_message"],
                                 available_actions=action_info["available_actions"],
                                 reply_to=reply_to_str,
@@ -284,7 +284,6 @@ class CycleProcessor:
                             "loop_info": None
                         }
 
-                    # TODO: Where is my fucking _send_and_store_reply?
                     loop_info, reply_text, cycle_timers_reply = await self._send_and_store_reply(
                         response_set,
                         reply_to_str,

src/chat/chat_loop/heartFC_chat.py

@@ -12,6 +12,7 @@ from src.chat.express.expression_learner import expression_learner_manager
 from src.plugin_system.base.component_types import ChatMode
 from src.schedule.schedule_manager import schedule_manager, SleepState
 from src.plugin_system.apis import message_api
+from src.chat.willing.willing_manager import get_willing_manager
 
 from .hfc_context import HfcContext
 from .energy_manager import EnergyManager
@@ -59,7 +60,7 @@ class HeartFChatting:
         
         # 记录最近3次的兴趣度
         self.recent_interest_records: deque = deque(maxlen=3)
-
+        self.willing_manager = get_willing_manager()
         self._initialize_chat_mode()
         logger.info(f"{self.context.log_prefix} HeartFChatting 初始化完成")
 

src/chat/chat_loop/response_handler.py

@@ -64,7 +64,7 @@ class ResponseHandler:
         - 构建并返回完整的循环信息
         - 用于上级方法的状态跟踪
         """
-        reply_text = await self._send_response(response_set, reply_to_str, loop_start_time, action_message)
+        reply_text = await self.send_response(response_set, reply_to_str, loop_start_time, action_message)
 
         person_info_manager = get_person_info_manager()
 
@@ -105,7 +105,7 @@ class ResponseHandler:
 
         return loop_info, reply_text, cycle_timers
 
-    async def _send_response(self, reply_set, reply_to, thinking_start_time, message_data) -> str:
+    async def send_response(self, reply_set, reply_to, thinking_start_time, message_data) -> str:
         """
         发送回复内容的具体实现
 

src/chat/planner_actions/planner.py

@@ -575,6 +575,20 @@ class ActionPlanner:
             else:
                 logger.warning(f"{self.log_prefix}使用中的动作 {action_name} 未在已注册动作中找到")
 
+        # 将no_reply作为系统级特殊动作添加到可用动作中
+        # no_reply虽然是系统级决策，但需要让规划器认为它是可用的
+        no_reply_info = ActionInfo(
+            name="no_reply",
+            component_type=ComponentType.ACTION,
+            description="系统级动作：选择不回复消息的决策",
+            action_parameters={},
+            activation_keywords=[],
+            plugin_name="SYSTEM",
+            enabled=True,  # 始终启用
+            parallel_action=False,
+        )
+        current_available_actions["no_reply"] = no_reply_info
+
         return is_group_chat, chat_target_info, current_available_actions