FEAT:PPPPfc in群聊，优化聊天流相关功能，新增获取聊天流名称的方法，调整日志输出以包含流名称，改进心流对话的提示信息，移除冗余代码，增强代码可读性。

src/plugins/chat/chat_stream.py

@@ -190,6 +190,20 @@ class ChatManager:
         stream_id = self._generate_stream_id(platform, user_info, group_info)
         return self.streams.get(stream_id)
 
+    def get_stream_name(self, stream_id: str) -> Optional[str]:
+        """根据 stream_id 获取聊天流名称"""
+        stream = self.get_stream(stream_id)
+        if not stream:
+            return None
+
+        if stream.group_info and stream.group_info.group_name:
+            return stream.group_info.group_name
+        elif stream.user_info and stream.user_info.user_nickname:
+            return f"{stream.user_info.user_nickname}的私聊"
+        else:
+            # 如果没有群名或用户昵称，返回 None 或其他默认值
+            return None
+
     @staticmethod
     async def _save_stream(stream: ChatStream):
         """保存聊天流到数据库"""

src/plugins/chat_module/heartFC_chat/heartFC_chat.py

@@ -105,12 +105,13 @@ class HeartFC_Chat:
             await asyncio.sleep(INTEREST_MONITOR_INTERVAL_SECONDS)
             try:
                 active_stream_ids = list(heartflow.get_all_subheartflows_streams_ids())
-                logger.trace(f"检查 {len(active_stream_ids)} 个活跃流是否足以开启心流对话...")
+                # logger.trace(f"检查 {len(active_stream_ids)} 个活跃流是否足以开启心流对话...") # 调试日志
 
                 for stream_id in active_stream_ids:
+                    stream_name = chat_manager.get_stream_name(stream_id) or stream_id # 获取流名称
                     sub_hf = heartflow.get_subheartflow(stream_id)
                     if not sub_hf:
-                        logger.warning(f"监控循环: 无法获取活跃流 {stream_id} 的 sub_hf")
+                        logger.warning(f"监控循环: 无法获取活跃流 {stream_name} 的 sub_hf")
                         continue
 
                     should_trigger = False
@@ -118,24 +119,21 @@ class HeartFC_Chat:
                         interest_chatting = self.interest_manager.get_interest_chatting(stream_id)
                         if interest_chatting:
                             should_trigger = interest_chatting.should_evaluate_reply()
-                            if should_trigger:
-                                logger.info(f"[{stream_id}] 基于兴趣概率决定启动交流模式 (概率: {interest_chatting.current_reply_probability:.4f})。")
+                            # if should_trigger:
+                            #     logger.info(f"[{stream_name}] 基于兴趣概率决定启动交流模式 (概率: {interest_chatting.current_reply_probability:.4f})。")
                         else:
-                            logger.trace(f"[{stream_id}] 没有找到对应的 InterestChatting 实例，跳过基于兴趣的触发检查。")
+                            logger.trace(f"[{stream_name}] 没有找到对应的 InterestChatting 实例，跳过基于兴趣的触发检查。")
                     except Exception as e:
-                        logger.error(f"检查兴趣触发器时出错 流 {stream_id}: {e}")
+                        logger.error(f"检查兴趣触发器时出错 流 {stream_name}: {e}")
                         logger.error(traceback.format_exc())
 
                     if should_trigger:
-                        logger.info(f"[{stream_id}] 触发条件满足, 委托给PFChatting.")
-                        # --- 修改: 获取 PFChatting 实例并调用 add_time (无参数，时间由内部衰减逻辑决定) ---
                         pf_instance = await self._get_or_create_pf_chatting(stream_id)
                         if pf_instance:
-                            # 调用 add_time 启动或延长循环，时间由 PFChatting 内部决定
+                            # logger.info(f"[{stream_name}] 触发条件满足, 委托给PFChatting.")
                             asyncio.create_task(pf_instance.add_time())
                         else:
-                            logger.error(f"[{stream_id}] 无法获取或创建PFChatting实例。跳过触发。")
-
+                            logger.error(f"[{stream_name}] 无法获取或创建PFChatting实例。跳过触发。")
 
             except asyncio.CancelledError:
                 logger.info("兴趣监控循环已取消。")
@@ -187,7 +185,8 @@ class HeartFC_Chat:
                 container.messages.remove(msg)
                 break
         if not thinking_message:
-            logger.warning(f"[{chat.stream_id}] 未找到对应的思考消息 {thinking_id}，可能已超时被移除")
+            stream_name = chat_manager.get_stream_name(chat.stream_id) or chat.stream_id # 获取流名称
+            logger.warning(f"[{stream_name}] 未找到对应的思考消息 {thinking_id}，可能已超时被移除")
             return None
 
         thinking_start_time = thinking_message.thinking_start_time
@@ -220,7 +219,8 @@ class HeartFC_Chat:
             MessageManager().add_message(message_set)
             return first_bot_msg
         else:
-            logger.warning(f"[{chat.stream_id}] 没有生成有效的回复消息集，无法发送。")
+            stream_name = chat_manager.get_stream_name(chat.stream_id) or chat.stream_id # 获取流名称
+            logger.warning(f"[{stream_name}] 没有生成有效的回复消息集，无法发送。")
             return None
 
     async def _handle_emoji(self, anchor_message: Optional[MessageRecv], response_set, send_emoji=""):
@@ -278,6 +278,7 @@ class HeartFC_Chat:
 
     async def trigger_reply_generation(self, stream_id: str, observed_messages: List[dict]):
         """根据 SubHeartflow 的触发信号生成回复 (基于观察)"""
+        stream_name = chat_manager.get_stream_name(stream_id) or stream_id # <--- 在开始时获取名称
         chat = None
         sub_hf = None
         anchor_message: Optional[MessageRecv] = None # <--- 重命名，用于锚定回复的消息对象
@@ -296,14 +297,14 @@ class HeartFC_Chat:
                 with Timer("获取聊天流和子心流", timing_results):
                     chat = chat_manager.get_stream(stream_id)
                     if not chat:
-                        logger.error(f"[{stream_id}] 无法找到聊天流对象，无法生成回复。")
+                        logger.error(f"[{stream_name}] 无法找到聊天流对象，无法生成回复。")
                         return
                     sub_hf = heartflow.get_subheartflow(stream_id)
                     if not sub_hf:
-                        logger.error(f"[{stream_id}] 无法找到子心流对象，无法生成回复。")
+                        logger.error(f"[{stream_name}] 无法找到子心流对象，无法生成回复。")
                         return
             except Exception as e:
-                 logger.error(f"[{stream_id}] 获取 ChatStream 或 SubHeartflow 时出错: {e}")
+                 logger.error(f"[{stream_name}] 获取 ChatStream 或 SubHeartflow 时出错: {e}")
                  logger.error(traceback.format_exc())
                  return
 
@@ -314,18 +315,18 @@ class HeartFC_Chat:
                     if observed_messages:
                         try:
                             last_msg_dict = observed_messages[-1]
-                            logger.debug(f"[{stream_id}] Attempting to reconstruct MessageRecv from last observed message.")
+                            logger.debug(f"[{stream_name}] Attempting to reconstruct MessageRecv from last observed message.")
                             anchor_message = MessageRecv(last_msg_dict, chat_stream=chat)
                             if not (anchor_message and anchor_message.message_info and anchor_message.message_info.message_id and anchor_message.message_info.user_info):
                                 raise ValueError("Reconstructed MessageRecv missing essential info.")
                             userinfo = anchor_message.message_info.user_info
                             messageinfo = anchor_message.message_info
-                            logger.debug(f"[{stream_id}] Successfully reconstructed anchor message: ID={messageinfo.message_id}, Sender={userinfo.user_nickname}")
+                            logger.debug(f"[{stream_name}] Successfully reconstructed anchor message: ID={messageinfo.message_id}, Sender={userinfo.user_nickname}")
                         except Exception as e_reconstruct:
-                            logger.warning(f"[{stream_id}] Reconstructing MessageRecv from observed message failed: {e_reconstruct}. Will create placeholder.")
+                            logger.warning(f"[{stream_name}] Reconstructing MessageRecv from observed message failed: {e_reconstruct}. Will create placeholder.")
                             reconstruction_failed = True
                     else:
-                        logger.warning(f"[{stream_id}] observed_messages is empty. Will create placeholder anchor message.")
+                        logger.warning(f"[{stream_name}] observed_messages is empty. Will create placeholder anchor message.")
                         reconstruction_failed = True # Treat empty observed_messages as a failure to reconstruct
 
                     # 如果重建失败或 observed_messages 为空，创建占位符
@@ -353,10 +354,10 @@ class HeartFC_Chat:
                         anchor_message.update_chat_stream(chat)
                         userinfo = anchor_message.message_info.user_info
                         messageinfo = anchor_message.message_info
-                        logger.info(f"[{stream_id}] Created placeholder anchor message: ID={messageinfo.message_id}, Sender={userinfo.user_nickname}")
+                        logger.info(f"[{stream_name}] Created placeholder anchor message: ID={messageinfo.message_id}, Sender={userinfo.user_nickname}")
 
             except Exception as e:
-                logger.error(f"[{stream_id}] 获取或创建锚点消息时出错: {e}")
+                logger.error(f"[{stream_name}] 获取或创建锚点消息时出错: {e}")
                 logger.error(traceback.format_exc())
                 anchor_message = None # 确保出错时 anchor_message 为 None
 
@@ -366,10 +367,10 @@ class HeartFC_Chat:
                 thinking_count = container.count_thinking_messages()
                 max_thinking_messages = getattr(global_config, 'max_concurrent_thinking_messages', 3)
                 if thinking_count >= max_thinking_messages:
-                    logger.warning(f"聊天流 {chat.stream_id} 已有 {thinking_count} 条思考消息，取消回复。")
+                    logger.warning(f"聊天流 {stream_name} 已有 {thinking_count} 条思考消息，取消回复。")
                     return
             except Exception as e:
-                logger.error(f"[{stream_id}] 检查并发思考限制时出错: {e}")
+                logger.error(f"[{stream_name}] 检查并发思考限制时出错: {e}")
                 return
 
             # --- 5. 创建思考消息 (使用 anchor_message) ---
@@ -378,14 +379,14 @@ class HeartFC_Chat:
                     # 注意：这里传递 anchor_message 给 _create_thinking_message
                     thinking_id = await self._create_thinking_message(anchor_message)
             except Exception as e:
-                logger.error(f"[{stream_id}] 创建思考消息失败: {e}")
+                logger.error(f"[{stream_name}] 创建思考消息失败: {e}")
                 return
             if not thinking_id:
-                logger.error(f"[{stream_id}] 未能成功创建思考消息 ID，无法继续回复流程。")
+                logger.error(f"[{stream_name}] 未能成功创建思考消息 ID，无法继续回复流程。")
                 return
 
             # --- 6. 信息捕捉器 (使用 anchor_message) ---
-            logger.trace(f"[{stream_id}] 创建捕捉器，thinking_id:{thinking_id}")
+            logger.trace(f"[{stream_name}] 创建捕捉器，thinking_id:{thinking_id}")
             info_catcher = info_catcher_manager.get_info_catcher(thinking_id)
             info_catcher.catch_decide_to_response(anchor_message)
 
@@ -406,9 +407,9 @@ class HeartFC_Chat:
                         text = msg_dict.get('detailed_plain_text', '')
                         if text: context_texts.append(text)
                     observation_context_text = "\n".join(context_texts)
-                    logger.debug(f"[{stream_id}] Context for tools:\n{observation_context_text[-200:]}...") # 打印部分上下文
+                    logger.debug(f"[{stream_name}] Context for tools:\n{observation_context_text[-200:]}...") # 打印部分上下文
                 else:
-                    logger.warning(f"[{stream_id}] observed_messages 列表为空，无法为工具提供上下文。")
+                    logger.warning(f"[{stream_name}] observed_messages 列表为空，无法为工具提供上下文。")
 
                 if observation_context_text:
                     with Timer("思考前使用工具", timing_results):
@@ -428,7 +429,7 @@ class HeartFC_Chat:
                                     if tool_name == "send_emoji":
                                         send_emoji = tool_data[0]["content"]
             except Exception as e:
-                logger.error(f"[{stream_id}] 思考前工具调用失败: {e}")
+                logger.error(f"[{stream_name}] 思考前工具调用失败: {e}")
                 logger.error(traceback.format_exc())
 
             # --- 8. 调用 SubHeartflow 进行思考 (不传递具体消息文本和发送者) ---
@@ -441,9 +442,9 @@ class HeartFC_Chat:
                         extra_info=tool_result_info,
                         obs_id=get_mid_memory_id,
                     )
-                    logger.info(f"[{stream_id}] SubHeartflow 思考完成: {current_mind}")
+                    logger.info(f"[{stream_name}] SubHeartflow 思考完成: {current_mind}")
             except Exception as e:
-                logger.error(f"[{stream_id}] SubHeartflow 思考失败: {e}")
+                logger.error(f"[{stream_name}] SubHeartflow 思考失败: {e}")
                 logger.error(traceback.format_exc())
                 if info_catcher: info_catcher.done_catch()
                 return # 思考失败则不继续
@@ -456,14 +457,14 @@ class HeartFC_Chat:
                     # response_set = await self.gpt.generate_response(anchor_message, thinking_id, current_mind=current_mind)
                     response_set = await self.gpt.generate_response(anchor_message, thinking_id)
             except Exception as e:
-                 logger.error(f"[{stream_id}] GPT 生成回复失败: {e}")
+                 logger.error(f"[{stream_name}] GPT 生成回复失败: {e}")
                  logger.error(traceback.format_exc())
                  if info_catcher: info_catcher.done_catch()
                  return
             if info_catcher:
                 info_catcher.catch_after_generate_response(timing_results.get("生成最终回复(GPT)"))
             if not response_set:
-                logger.info(f"[{stream_id}] 回复生成失败或为空。")
+                logger.info(f"[{stream_name}] 回复生成失败或为空。")
                 if info_catcher: info_catcher.done_catch()
                 return
 
@@ -473,7 +474,7 @@ class HeartFC_Chat:
                 with Timer("发送消息", timing_results):
                     first_bot_msg = await self._send_response_messages(anchor_message, response_set, thinking_id)
             except Exception as e:
-                logger.error(f"[{stream_id}] 发送消息失败: {e}")
+                logger.error(f"[{stream_name}] 发送消息失败: {e}")
                 logger.error(traceback.format_exc())
             if info_catcher:
                 info_catcher.catch_after_response(timing_results.get("发送消息"), response_set, first_bot_msg)
@@ -483,16 +484,16 @@ class HeartFC_Chat:
             try:
                 with Timer("处理表情包", timing_results):
                     if send_emoji:
-                        logger.info(f"[{stream_id}] 决定发送表情包 {send_emoji}")
+                        logger.info(f"[{stream_name}] 决定发送表情包 {send_emoji}")
                         await self._handle_emoji(anchor_message, response_set, send_emoji)
             except Exception as e:
-                logger.error(f"[{stream_id}] 处理表情包失败: {e}")
+                logger.error(f"[{stream_name}] 处理表情包失败: {e}")
                 logger.error(traceback.format_exc())
 
             # --- 12. 记录性能日志 --- #
             timing_str = " | ".join([f"{step}: {duration:.2f}秒" for step, duration in timing_results.items()])
             response_msg = " ".join(response_set) if response_set else "无回复"
-            logger.info(f"[{stream_id}] 回复任务完成 (Observation Triggered): | 思维消息: {response_msg[:30]}... | 性能计时: {timing_str}")
+            logger.info(f"[{stream_name}] 回复任务完成 (Observation Triggered): | 思维消息: {response_msg[:30]}... | 性能计时: {timing_str}")
 
             # --- 13. 更新关系情绪 (使用 anchor_message) ---
             if first_bot_msg: # 仅在成功发送消息后
@@ -500,7 +501,7 @@ class HeartFC_Chat:
                     with Timer("更新关系情绪", timing_results):
                         await self._update_relationship(anchor_message, response_set)
                 except Exception as e:
-                    logger.error(f"[{stream_id}] 更新关系情绪失败: {e}")
+                    logger.error(f"[{stream_name}] 更新关系情绪失败: {e}")
                     logger.error(traceback.format_exc())
 
         except Exception as e:

src/plugins/chat_module/heartFC_chat/interest.py

@@ -218,13 +218,13 @@ class InterestChatting:
         if self.current_reply_probability > 0:
             # 只有在阈值之上且概率大于0时才有可能触发
             trigger = random.random() < self.current_reply_probability
-            if trigger:
-                logger.info(f"回复概率评估触发! 概率: {self.current_reply_probability:.4f}, 阈值: {self.trigger_threshold}, 兴趣: {self.interest_level:.2f}")
-                # 可选：触发后是否重置/降低概率？根据需要决定
-                # self.current_reply_probability = self.base_reply_probability # 例如，触发后降回基础概率
-                # self.current_reply_probability *= 0.5 # 例如，触发后概率减半
-            else:
-                 logger.debug(f"回复概率评估未触发。概率: {self.current_reply_probability:.4f}") 
+            # if trigger:
+            #     logger.info(f"回复概率评估触发! 概率: {self.current_reply_probability:.4f}, 阈值: {self.trigger_threshold}, 兴趣: {self.interest_level:.2f}")
+            #     # 可选：触发后是否重置/降低概率？根据需要决定
+            #     # self.current_reply_probability = self.base_reply_probability # 例如，触发后降回基础概率
+            #     # self.current_reply_probability *= 0.5 # 例如，触发后概率减半
+            # else:
+            #      logger.debug(f"回复概率评估未触发。概率: {self.current_reply_probability:.4f}") 
             return trigger
         else:
             # logger.debug(f"Reply evaluation check: Below threshold or zero probability. Probability: {self.current_reply_probability:.4f}")
@@ -282,7 +282,7 @@ class InterestManager:
         """后台日志记录任务的异步函数 (记录历史数据，包含 group_name)"""
         while True:
             await asyncio.sleep(interval_seconds)
-            logger.debug(f"运行定期历史记录 (间隔: {interval_seconds}秒)...")
+            # logger.debug(f"运行定期历史记录 (间隔: {interval_seconds}秒)...")
             try:
                 current_timestamp = time.time()
                 all_states = self.get_all_interest_states() # 获取当前所有状态
@@ -435,7 +435,8 @@ class InterestManager:
         interest_chatting = self._get_or_create_interest_chatting(stream_id)
         # 调用修改后的 increase_interest，不再传入 message
         interest_chatting.increase_interest(current_time, value)
-        logger.debug(f"增加了聊天流 {stream_id} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}") # 更新日志
+        stream_name = chat_manager.get_stream_name(stream_id) or stream_id # 获取流名称
+        logger.debug(f"增加了聊天流 {stream_name} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}") # 更新日志
 
     def decrease_interest(self, stream_id: str, value: float):
         """降低指定聊天流的兴趣度"""
@@ -444,9 +445,11 @@ class InterestManager:
         interest_chatting = self.get_interest_chatting(stream_id)
         if interest_chatting:
             interest_chatting.decrease_interest(current_time, value)
-            logger.debug(f"降低了聊天流 {stream_id} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}")
+            stream_name = chat_manager.get_stream_name(stream_id) or stream_id # 获取流名称
+            logger.debug(f"降低了聊天流 {stream_name} 的兴趣度 {value:.2f}，当前值为 {interest_chatting.interest_level:.2f}")
         else:
-            logger.warning(f"尝试降低不存在的聊天流 {stream_id} 的兴趣度")
+            stream_name = chat_manager.get_stream_name(stream_id) or stream_id # 获取流名称
+            logger.warning(f"尝试降低不存在的聊天流 {stream_name} 的兴趣度")
 
     def cleanup_inactive_chats(self, max_age_seconds=INACTIVE_THRESHOLD_SECONDS):
         """
@@ -474,7 +477,8 @@ class InterestManager:
 
             if should_remove:
                 keys_to_remove.append(stream_id)
-                logger.debug(f"Marking stream_id {stream_id} for removal. Reason: {reason}")
+                stream_name = chat_manager.get_stream_name(stream_id) or stream_id # 获取流名称
+                logger.debug(f"Marking stream {stream_name} for removal. Reason: {reason}")
 
         if keys_to_remove:
             logger.info(f"清理识别到 {len(keys_to_remove)} 个不活跃/低兴趣的流。")
@@ -483,7 +487,8 @@ class InterestManager:
                  # 再次检查 key 是否存在，以防万一在迭代和删除之间状态改变
                 if key in self.interest_dict:
                     del self.interest_dict[key]
-                    logger.debug(f"移除了流_id: {key}")
+                    stream_name = chat_manager.get_stream_name(key) or key # 获取流名称
+                    logger.debug(f"移除了流: {stream_name}")
             final_count = initial_count - len(keys_to_remove)
             logger.info(f"清理完成。移除了 {len(keys_to_remove)} 个流。当前数量: {final_count}")
         else:

src/plugins/chat_module/heartFC_chat/pf_chatting.py

@@ -92,11 +92,18 @@ class PFChatting:
         self._loop_active: bool = False # Is the loop currently running?
         self._loop_task: Optional[asyncio.Task] = None # Stores the main loop task
         self._trigger_count_this_activation: int = 0 # Counts triggers within an active period
+        self._initial_duration: float = 10.0 # 首次触发增加的时间
+        self._last_added_duration: float = self._initial_duration # <--- 新增：存储上次增加的时间
 
         # Removed pending_replies as processing is now serial within the loop
         # self.pending_replies: Dict[str, PendingReply] = {}
 
 
+    def _get_log_prefix(self) -> str:
+        """获取日志前缀，包含可读的流名称"""
+        stream_name = chat_manager.get_stream_name(self.stream_id) or self.stream_id
+        return f"[{stream_name}]"
+
     async def _initialize(self) -> bool:
         """
         Lazy initialization to resolve chat_stream and sub_hf using the provided identifier.
@@ -105,95 +112,97 @@ class PFChatting:
         async with self._init_lock:
             if self._initialized:
                 return True
+            log_prefix = self._get_log_prefix() # 获取前缀
             try:
                 self.chat_stream = chat_manager.get_stream(self.stream_id)
 
                 if not self.chat_stream:
-                    logger.error(f"PFChatting-{self.stream_id} 获取ChatStream失败。")
+                    logger.error(f"{log_prefix} 获取ChatStream失败。")
                     return False
 
                 # 子心流(SubHeartflow)可能初始不存在但后续会被创建
                 # 在需要它的方法中应优雅处理其可能缺失的情况
                 self.sub_hf = heartflow.get_subheartflow(self.stream_id)
                 if not self.sub_hf:
-                    logger.warning(f"PFChatting-{self.stream_id} 获取SubHeartflow失败。一些功能可能受限。")
+                    logger.warning(f"{log_prefix} 获取SubHeartflow失败。一些功能可能受限。")
                     # 决定是否继续初始化。目前允许初始化。
 
                 self._initialized = True
-                logger.info(f"PFChatting-{self.stream_id} 初始化成功。")
+                logger.info(f"麦麦感觉到了，激发了PFChatting{log_prefix} 初始化成功。")
                 return True
             except Exception as e:
-                logger.error(f"PFChatting-{self.stream_id} 初始化失败: {e}")
+                logger.error(f"{log_prefix} 初始化失败: {e}")
                 logger.error(traceback.format_exc())
                 return False
 
     async def add_time(self):
         """
         Adds time to the loop timer with decay and starts the loop if it's not active.
-        Called externally (e.g., by HeartFC_Chat) to trigger or extend activity.
-        Durations: 1st trigger = 10s, 2nd = 5s, 3rd+ = 2s.
+        First trigger adds initial duration, subsequent triggers add 50% of the previous addition.
         """
+        log_prefix = self._get_log_prefix()
         if not self._initialized:
              if not await self._initialize():
-                 logger.error(f"PFChatting-{self.stream_id} 无法添加时间: 未初始化。")
+                 logger.error(f"{log_prefix} 无法添加时间: 未初始化。")
                  return
 
         async with self._timer_lock:
             duration_to_add: float = 0.0
 
             if not self._loop_active: # First trigger for this activation cycle
-                duration_to_add = 10.0
-                self._trigger_count_this_activation = 1 # Start counting for this activation
-                logger.info(f"[{self.stream_id}] First trigger in activation. Adding {duration_to_add:.1f}s.")
-            else: # Loop is already active, apply decay
+                duration_to_add = self._initial_duration # 使用初始值
+                self._last_added_duration = duration_to_add # 更新上次增加的值
+                self._trigger_count_this_activation = 1 # Start counting
+                logger.info(f"{log_prefix} First trigger in activation. Adding {duration_to_add:.2f}s.")
+            else: # Loop is already active, apply 50% reduction
                 self._trigger_count_this_activation += 1
-                if self._trigger_count_this_activation == 2:
-                    duration_to_add = 5.0
-                    logger.info(f"[{self.stream_id}] 2nd trigger in activation. Adding {duration_to_add:.1f}s.")
-                else: # 3rd trigger or more
-                    duration_to_add = 2.0
-                    logger.info(f"[{self.stream_id}] {self._trigger_count_this_activation}rd/+ trigger in activation. Adding {duration_to_add:.1f}s.")
+                duration_to_add = self._last_added_duration * 0.5
+                self._last_added_duration = duration_to_add # 更新上次增加的值
+                logger.info(f"{log_prefix} Trigger #{self._trigger_count_this_activation}. Adding {duration_to_add:.2f}s (50% of previous). Timer was {self._loop_timer:.1f}s.")
 
+            # 添加计算出的时间
             new_timer_value = self._loop_timer + duration_to_add
-            self._loop_timer = max(0, new_timer_value) # Ensure timer doesn't go negative conceptually
-            logger.info(f"[{self.stream_id}] Timer is now {self._loop_timer:.1f}s.")
+            self._loop_timer = max(0, new_timer_value)
+            logger.info(f"{log_prefix} Timer is now {self._loop_timer:.1f}s.")
 
+            # Start the loop if it wasn't active and timer is positive
             if not self._loop_active and self._loop_timer > 0:
-                logger.info(f"[{self.stream_id}] Timer > 0 and loop not active. Starting PF loop.")
+                logger.info(f"{log_prefix} Timer > 0 and loop not active. Starting PF loop.")
                 self._loop_active = True
-                # Cancel previous task just in case (shouldn't happen if logic is correct)
                 if self._loop_task and not self._loop_task.done():
-                    logger.warning(f"[{self.stream_id}] Found existing loop task unexpectedly during start. Cancelling it.")
+                    logger.warning(f"{log_prefix} Found existing loop task unexpectedly during start. Cancelling it.")
                     self._loop_task.cancel()
 
                 self._loop_task = asyncio.create_task(self._run_pf_loop())
-                # Add callback to reset state if loop finishes or errors out
                 self._loop_task.add_done_callback(self._handle_loop_completion)
             elif self._loop_active:
-                 logger.debug(f"[{self.stream_id}] Loop already active. Timer extended.")
+                 logger.debug(f"{log_prefix} Loop already active. Timer extended.")
 
 
     def _handle_loop_completion(self, task: asyncio.Task):
         """Callback executed when the _run_pf_loop task finishes."""
+        log_prefix = self._get_log_prefix()
         try:
             # Check if the task raised an exception
             exception = task.exception()
             if exception:
-                logger.error(f"[{self.stream_id}] PF loop task completed with error: {exception}")
+                logger.error(f"{log_prefix} PF loop task completed with error: {exception}")
                 logger.error(traceback.format_exc())
             else:
-                logger.info(f"[{self.stream_id}] PF loop task completed normally (timer likely expired or cancelled).")
+                logger.info(f"{log_prefix} PF loop task completed normally (timer likely expired or cancelled).")
         except asyncio.CancelledError:
-            logger.info(f"[{self.stream_id}] PF loop task was cancelled.")
+            logger.info(f"{log_prefix} PF loop task was cancelled.")
         finally:
             # Reset state regardless of how the task finished
             self._loop_active = False
             self._loop_task = None
+            self._last_added_duration = self._initial_duration # <--- 重置下次首次触发的增加时间
+            self._trigger_count_this_activation = 0 # 重置计数器
             # Ensure lock is released if the loop somehow exited while holding it
             if self._processing_lock.locked():
-                logger.warning(f"[{self.stream_id}] Releasing processing lock after loop task completion.")
+                logger.warning(f"{log_prefix} Releasing processing lock after loop task completion.")
                 self._processing_lock.release()
-            logger.info(f"[{self.stream_id}] Loop state reset.")
+            logger.info(f"{log_prefix} Loop state reset.")
 
 
     async def _run_pf_loop(self):
@@ -201,14 +210,14 @@ class PFChatting:
         主循环，当计时器>0时持续进行计划并可能回复消息
         管理每个循环周期的处理锁
         """
-        logger.info(f"[{self.stream_id}] 开始执行PF循环")
+        logger.info(f"{self._get_log_prefix()} 开始执行PF循环")
         try:
             while True:
                 # 使用计时器锁安全地检查当前计时器值
                 async with self._timer_lock:
                     current_timer = self._loop_timer
                     if current_timer <= 0:
-                        logger.info(f"[{self.stream_id}] 计时器为零或负数({current_timer:.1f}秒)，退出PF循环")
+                        logger.info(f"{self._get_log_prefix()} 计时器为零或负数({current_timer:.1f}秒)，退出PF循环")
                         break  # 退出条件：计时器到期
 
                 # 记录循环开始时间
@@ -221,7 +230,7 @@ class PFChatting:
                 try:
                     await self._processing_lock.acquire()
                     acquired_lock = True
-                    logger.debug(f"[{self.stream_id}] 循环获取到处理锁")
+                    logger.debug(f"{self._get_log_prefix()} 循环获取到处理锁")
 
                     # --- Planner ---
                     # Planner decides action, reasoning, emoji_query, etc.
@@ -234,16 +243,16 @@ class PFChatting:
                     observed_messages = planner_result.get("observed_messages", []) # Planner needs to return this
 
                     if action == "text_reply":
-                        logger.info(f"[{self.stream_id}] 计划循环决定: 回复文本.")
+                        logger.info(f"{self._get_log_prefix()} 计划循环决定: 回复文本.")
                         action_taken_this_cycle = True
                         # --- 回复器 ---
                         anchor_message = await self._get_anchor_message(observed_messages)
                         if not anchor_message:
-                             logger.error(f"[{self.stream_id}] 循环: 无法获取锚点消息用于回复. 跳过周期.")
+                             logger.error(f"{self._get_log_prefix()} 循环: 无法获取锚点消息用于回复. 跳过周期.")
                         else:
                             thinking_id = await self.heartfc_chat._create_thinking_message(anchor_message)
                             if not thinking_id:
-                                logger.error(f"[{self.stream_id}] 循环: 无法创建思考ID. 跳过周期.")
+                                logger.error(f"{self._get_log_prefix()} 循环: 无法创建思考ID. 跳过周期.")
                             else:
                                 replier_result = None
                                 try:
@@ -256,7 +265,7 @@ class PFChatting:
                                         send_emoji=send_emoji_from_tools
                                     )
                                 except Exception as e_replier:
-                                     logger.error(f"[{self.stream_id}] 循环: 回复器工作失败: {e_replier}")
+                                     logger.error(f"{self._get_log_prefix()} 循环: 回复器工作失败: {e_replier}")
                                      self._cleanup_thinking_message(thinking_id) # 清理思考消息
                                      # 继续循环, 视为非操作周期
 
@@ -264,61 +273,61 @@ class PFChatting:
                                     # --- Sender ---
                                     try:
                                         await self._sender(thinking_id, anchor_message, replier_result)
-                                        logger.info(f"[{self.stream_id}] 循环: 发送器完成成功.")
+                                        logger.info(f"{self._get_log_prefix()} 循环: 发送器完成成功.")
                                     except Exception as e_sender:
-                                         logger.error(f"[{self.stream_id}] 循环: 发送器失败: {e_sender}")
+                                         logger.error(f"{self._get_log_prefix()} 循环: 发送器失败: {e_sender}")
                                          self._cleanup_thinking_message(thinking_id) # 确保发送失败时清理
                                          # 继续循环, 视为非操作周期
                                 else:
                                      # Replier failed to produce result
-                                     logger.warning(f"[{self.stream_id}] 循环: 回复器未产生结果. 跳过发送.")
+                                     logger.warning(f"{self._get_log_prefix()} 循环: 回复器未产生结果. 跳过发送.")
                                      self._cleanup_thinking_message(thinking_id) # 清理思考消息
 
                     elif action == "emoji_reply":
-                        logger.info(f"[{self.stream_id}] 计划循环决定: 回复表情 ('{emoji_query}').")
+                        logger.info(f"{self._get_log_prefix()} 计划循环决定: 回复表情 ('{emoji_query}').")
                         action_taken_this_cycle = True
                         anchor = await self._get_anchor_message(observed_messages)
                         if anchor:
                             try:
                                 await self.heartfc_chat._handle_emoji(anchor, [], emoji_query)
                             except Exception as e_emoji:
-                                logger.error(f"[{self.stream_id}] 循环: 发送表情失败: {e_emoji}")
+                                logger.error(f"{self._get_log_prefix()} 循环: 发送表情失败: {e_emoji}")
                         else:
-                             logger.warning(f"[{self.stream_id}] 循环: 无法发送表情, 无法获取锚点.")
+                             logger.warning(f"{self._get_log_prefix()} 循环: 无法发送表情, 无法获取锚点.")
 
                     elif action == "no_reply":
-                        logger.info(f"[{self.stream_id}] 计划循环决定: 不回复. 原因: {reasoning}")
+                        logger.info(f"{self._get_log_prefix()} 计划循环决定: 不回复. 原因: {reasoning}")
                         # Do nothing else, action_taken_this_cycle remains False
 
                     elif action == "error":
-                         logger.error(f"[{self.stream_id}] 计划循环返回错误或失败. 原因: {reasoning}")
+                         logger.error(f"{self._get_log_prefix()} 计划循环返回错误或失败. 原因: {reasoning}")
                          # 视为非操作周期
 
                     else: # Unknown action
-                         logger.warning(f"[{self.stream_id}] 计划循环返回未知动作: {action}. 视为不回复.")
+                         logger.warning(f"{self._get_log_prefix()} 计划循环返回未知动作: {action}. 视为不回复.")
                          # 视为非操作周期
 
                 except Exception as e_cycle:
                     # Catch errors occurring within the locked section (e.g., planner crash)
-                    logger.error(f"[{self.stream_id}] 循环周期执行时发生错误: {e_cycle}")
+                    logger.error(f"{self._get_log_prefix()} 循环周期执行时发生错误: {e_cycle}")
                     logger.error(traceback.format_exc())
                     # Ensure lock is released if an error occurs before the finally block
                     if acquired_lock and self._processing_lock.locked():
                          self._processing_lock.release()
                          acquired_lock = False # 防止在 finally 块中重复释放
-                         logger.warning(f"[{self.stream_id}] 由于循环周期中的错误释放了处理锁.")
+                         logger.warning(f"{self._get_log_prefix()} 由于循环周期中的错误释放了处理锁.")
 
                 finally:
                     # Ensure the lock is always released after a cycle
                     if acquired_lock:
                         self._processing_lock.release()
-                        logger.debug(f"[{self.stream_id}] 循环释放了处理锁.")
+                        logger.debug(f"{self._get_log_prefix()} 循环释放了处理锁.")
 
                 # --- Timer Decrement ---
                 cycle_duration = time.monotonic() - loop_cycle_start_time
                 async with self._timer_lock:
                     self._loop_timer -= cycle_duration
-                    logger.debug(f"[{self.stream_id}] 循环周期耗时 {cycle_duration:.2f}s. 计时器剩余: {self._loop_timer:.1f}s.")
+                    logger.debug(f"{self._get_log_prefix()} 循环周期耗时 {cycle_duration:.2f}s. 计时器剩余: {self._loop_timer:.1f}s.")
 
                 # --- Delay ---
                 # Add a small delay, especially if no action was taken, to prevent busy-waiting
@@ -329,21 +338,21 @@ class PFChatting:
                     elif cycle_duration < 0.2: # Minimum delay even if action was taken
                          await asyncio.sleep(0.2)
                 except asyncio.CancelledError:
-                    logger.info(f"[{self.stream_id}] Sleep interrupted, likely loop cancellation.")
+                    logger.info(f"{self._get_log_prefix()} Sleep interrupted, likely loop cancellation.")
                     break # Exit loop if cancelled during sleep
 
         except asyncio.CancelledError:
-             logger.info(f"[{self.stream_id}] PF loop task received cancellation request.")
+             logger.info(f"{self._get_log_prefix()} PF loop task received cancellation request.")
         except Exception as e_loop_outer:
              # Catch errors outside the main cycle lock (should be rare)
-             logger.error(f"[{self.stream_id}] PF loop encountered unexpected outer error: {e_loop_outer}")
+             logger.error(f"{self._get_log_prefix()} PF loop encountered unexpected outer error: {e_loop_outer}")
              logger.error(traceback.format_exc())
         finally:
             # Reset trigger count when loop finishes
             async with self._timer_lock:
                 self._trigger_count_this_activation = 0
-                logger.debug(f"[{self.stream_id}] Trigger count reset to 0 as loop finishes.")
-            logger.info(f"[{self.stream_id}] PF loop finished execution run.")
+                logger.debug(f"{self._get_log_prefix()} Trigger count reset to 0 as loop finishes.")
+            logger.info(f"{self._get_log_prefix()} PF loop finished execution run.")
             # State reset (_loop_active, _loop_task) is handled by _handle_loop_completion callback
 
     async def _planner(self) -> Dict[str, Any]:
@@ -353,6 +362,7 @@ class PFChatting:
         {'action': str, 'reasoning': str, 'emoji_query': str, 'current_mind': str,
          'send_emoji_from_tools': str, 'observed_messages': List[dict]}
         """
+        log_prefix = self._get_log_prefix()
         observed_messages: List[dict] = []
         tool_result_info = {}
         get_mid_memory_id = []
@@ -363,14 +373,14 @@ class PFChatting:
         try:
             if self.sub_hf and self.sub_hf._get_primary_observation():
                 observation = self.sub_hf._get_primary_observation()
-                logger.debug(f"[{self.stream_id}][Planner] 调用 observation.observe()...")
+                logger.debug(f"{log_prefix}[Planner] 调用 observation.observe()...")
                 await observation.observe() # 主动观察以获取最新消息
                 observed_messages = observation.talking_message # 获取更新后的消息列表
-                logger.debug(f"[{self.stream_id}][Planner] 获取到 {len(observed_messages)} 条观察消息。")
+                logger.debug(f"{log_prefix}[Planner] 获取到 {len(observed_messages)} 条观察消息。")
             else:
-                logger.warning(f"[{self.stream_id}][Planner] 无法获取 SubHeartflow 或 Observation 来获取消息。")
+                logger.warning(f"{log_prefix}[Planner] 无法获取 SubHeartflow 或 Observation 来获取消息。")
         except Exception as e:
-            logger.error(f"[{self.stream_id}][Planner] 获取观察信息时出错: {e}")
+            logger.error(f"{log_prefix}[Planner] 获取观察信息时出错: {e}")
             logger.error(traceback.format_exc())
         # --- 结束获取观察信息 ---
 
@@ -380,7 +390,7 @@ class PFChatting:
             if observed_messages:
                 context_texts = [msg.get('detailed_plain_text', '') for msg in observed_messages if msg.get('detailed_plain_text')]
                 observation_context_text = "\n".join(context_texts)
-                logger.debug(f"[{self.stream_id}][Planner] Context for tools: {observation_context_text[:100]}...")
+                logger.debug(f"{log_prefix}[Planner] Context for tools: {observation_context_text[:100]}...")
 
             if observation_context_text and self.sub_hf:
                  # Ensure SubHeartflow exists for tool use context
@@ -391,16 +401,16 @@ class PFChatting:
                 )
                 if tool_result.get("used_tools", False):
                     tool_result_info = tool_result.get("structured_info", {})
-                    logger.debug(f"[{self.stream_id}][Planner] Tool results: {tool_result_info}")
+                    logger.debug(f"{log_prefix}[Planner] Tool results: {tool_result_info}")
                     if "mid_chat_mem" in tool_result_info:
                         get_mid_memory_id = [mem["content"] for mem in tool_result_info["mid_chat_mem"] if "content" in mem]
                     if "send_emoji" in tool_result_info and tool_result_info["send_emoji"]:
                         send_emoji_from_tools = tool_result_info["send_emoji"][0].get("content", "") # Use renamed var
             elif not self.sub_hf:
-                 logger.warning(f"[{self.stream_id}][Planner] Skipping tool use because SubHeartflow is not available.")
+                 logger.warning(f"{log_prefix}[Planner] Skipping tool use because SubHeartflow is not available.")
 
         except Exception as e_tool:
-            logger.error(f"[PFChatting-{self.stream_id}][Planner] Tool use failed: {e_tool}")
+            logger.error(f"{log_prefix}[Planner] Tool use failed: {e_tool}")
             # Continue even if tool use fails
         # --- 结束工具使用 ---
 
@@ -413,13 +423,13 @@ class PFChatting:
                     extra_info=tool_result_info,
                     obs_id=get_mid_memory_id,
                 )
-                logger.info(f"[{self.stream_id}][Planner] SubHeartflow thought: {current_mind}")
+                logger.info(f"{log_prefix}[Planner] SubHeartflow thought: {current_mind}")
             else:
-                 logger.warning(f"[{self.stream_id}][Planner] Skipping SubHeartflow thinking because it is not available.")
+                 logger.warning(f"{log_prefix}[Planner] Skipping SubHeartflow thinking because it is not available.")
                  current_mind = "[心流思考不可用]" # Set a default/indicator value
 
         except Exception as e_shf:
-             logger.error(f"[PFChatting-{self.stream_id}][Planner] SubHeartflow thinking failed: {e_shf}")
+             logger.error(f"{log_prefix}[Planner] SubHeartflow thinking failed: {e_shf}")
              logger.error(traceback.format_exc())
              current_mind = "[心流思考出错]" 
 
@@ -433,7 +443,7 @@ class PFChatting:
         try:
             # 构建提示 (Now includes current_mind)
             prompt = self._build_planner_prompt(observed_messages, current_mind)
-            logger.trace(f"[{self.stream_id}][Planner] Prompt: {prompt}")
+            logger.debug(f"{log_prefix}[Planner] Prompt: {prompt}")
 
             # 准备 LLM 请求 Payload
             payload = {
@@ -443,7 +453,7 @@ class PFChatting:
                 "tool_choice": {"type": "function", "function": {"name": "decide_reply_action"}}, # 强制调用此工具
             }
 
-            logger.debug(f"[{self.stream_id}][Planner] 发送 Planner LLM 请求...")
+            logger.debug(f"{log_prefix}[Planner] 发送 Planner LLM 请求...")
             # 调用 LLM
             response = await self.planner_llm._execute_request(
                 endpoint="/chat/completions", payload=payload, prompt=prompt
@@ -463,25 +473,25 @@ class PFChatting:
                             if action == "emoji_reply":
                                 # Planner's decision overrides tool's emoji if action is emoji_reply
                                 emoji_query = arguments.get("emoji_query", send_emoji_from_tools) # Use tool emoji as default if planner asks for emoji
-                            logger.info(f"[{self.stream_id}][Planner] LLM 决策: {action}, 理由: {reasoning}, EmojiQuery: '{emoji_query}'")
+                            logger.info(f"{log_prefix}[Planner] LLM 决策: {action}, 理由: {reasoning}, EmojiQuery: '{emoji_query}'")
                         except json.JSONDecodeError as json_e:
-                            logger.error(f"[{self.stream_id}][Planner] 解析工具参数失败: {json_e}. Arguments: {tool_call['function'].get('arguments')}")
+                            logger.error(f"{log_prefix}[Planner] 解析工具参数失败: {json_e}. Arguments: {tool_call['function'].get('arguments')}")
                             action = "error"; reasoning = "工具参数解析失败"; llm_error = True
                         except Exception as parse_e:
-                             logger.error(f"[{self.stream_id}][Planner] 处理工具参数时出错: {parse_e}")
+                             logger.error(f"{log_prefix}[Planner] 处理工具参数时出错: {parse_e}")
                              action = "error"; reasoning = "处理工具参数时出错"; llm_error = True
                     else:
-                        logger.warning(f"[{self.stream_id}][Planner] LLM 未按预期调用 'decide_reply_action' 工具。Tool calls: {tool_calls}")
+                        logger.warning(f"{log_prefix}[Planner] LLM 未按预期调用 'decide_reply_action' 工具。Tool calls: {tool_calls}")
                         action = "error"; reasoning = "LLM未调用预期工具"; llm_error = True
                 else:
-                     logger.warning(f"[{self.stream_id}][Planner] LLM 响应中未包含有效的工具调用。Tool calls: {tool_calls}")
+                     logger.warning(f"{log_prefix}[Planner] LLM 响应中未包含有效的工具调用。Tool calls: {tool_calls}")
                      action = "error"; reasoning = "LLM响应无工具调用"; llm_error = True
             else:
-                logger.warning(f"[{self.stream_id}][Planner] LLM 未返回预期的工具调用响应。Response parts: {len(response)}")
+                logger.warning(f"{log_prefix}[Planner] LLM 未返回预期的工具调用响应。Response parts: {len(response)}")
                 action = "error"; reasoning = "LLM响应格式错误"; llm_error = True
 
         except Exception as llm_e:
-            logger.error(f"[{self.stream_id}][Planner] Planner LLM 调用失败: {llm_e}")
+            logger.error(f"{log_prefix}[Planner] Planner LLM 调用失败: {llm_e}")
             logger.error(traceback.format_exc())
             action = "error"; reasoning = f"LLM 调用失败: {llm_e}"; llm_error = True
 
@@ -503,7 +513,7 @@ class PFChatting:
         如果重构失败或观察为空，则创建一个占位符。
         """
         if not self.chat_stream:
-            logger.error(f"[PFChatting-{self.stream_id}] 无法获取锚点消息: ChatStream 不可用.")
+            logger.error(f"{self._get_log_prefix()} 无法获取锚点消息: ChatStream 不可用.")
             return None
 
         try:
@@ -518,12 +528,12 @@ class PFChatting:
                     # Basic validation
                     if not (anchor_message and anchor_message.message_info and anchor_message.message_info.message_id and anchor_message.message_info.user_info):
                         raise ValueError("重构的 MessageRecv 缺少必要信息.")
-                    logger.debug(f"[{self.stream_id}] 重构的锚点消息: ID={anchor_message.message_info.message_id}")
+                    logger.debug(f"{self._get_log_prefix()} 重构的锚点消息: ID={anchor_message.message_info.message_id}")
                     return anchor_message
                 except Exception as e_reconstruct:
-                    logger.warning(f"[{self.stream_id}] 从观察到的消息重构 MessageRecv 失败: {e_reconstruct}. 创建占位符.")
+                    logger.warning(f"{self._get_log_prefix()} 从观察到的消息重构 MessageRecv 失败: {e_reconstruct}. 创建占位符.")
             else:
-                logger.warning(f"[{self.stream_id}] observed_messages 为空. 创建占位符锚点消息.")
+                logger.warning(f"{self._get_log_prefix()} observed_messages 为空. 创建占位符锚点消息.")
 
             # --- Create Placeholder ---
             placeholder_id = f"mid_pf_{int(time.time() * 1000)}"
@@ -543,11 +553,11 @@ class PFChatting:
             }
             anchor_message = MessageRecv(placeholder_msg_dict)
             anchor_message.update_chat_stream(self.chat_stream) # Associate with the stream
-            logger.info(f"[{self.stream_id}] Created placeholder anchor message: ID={anchor_message.message_info.message_id}")
+            logger.info(f"{self._get_log_prefix()} Created placeholder anchor message: ID={anchor_message.message_info.message_id}")
             return anchor_message
 
         except Exception as e:
-            logger.error(f"[PFChatting-{self.stream_id}] Error getting/creating anchor message: {e}")
+            logger.error(f"{self._get_log_prefix()} Error getting/creating anchor message: {e}")
             logger.error(traceback.format_exc())
             return None
 
@@ -556,9 +566,9 @@ class PFChatting:
         try:
             container = MessageManager().get_container(self.stream_id)
             container.remove_message(thinking_id, msg_type=MessageThinking)
-            logger.debug(f"[{self.stream_id}] Cleaned up thinking message {thinking_id}.")
+            logger.debug(f"{self._get_log_prefix()} Cleaned up thinking message {thinking_id}.")
         except Exception as e:
-            logger.error(f"[{self.stream_id}] Error cleaning up thinking message {thinking_id}: {e}")
+            logger.error(f"{self._get_log_prefix()} Error cleaning up thinking message {thinking_id}: {e}")
 
 
     async def _sender(self, thinking_id: str, anchor_message: MessageRecv, replier_result: Dict[str, Any]):
@@ -573,7 +583,7 @@ class PFChatting:
         send_emoji = replier_result.get("send_emoji", "") # Emoji determined by tools, passed via replier
 
         if not response_set:
-             logger.error(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Called with empty response_set.")
+             logger.error(f"{self._get_log_prefix()}[Sender-{thinking_id}] Called with empty response_set.")
              # Clean up thinking message before raising error
              self._cleanup_thinking_message(thinking_id)
              raise ValueError("Sender called with no response_set") # Signal failure to loop
@@ -582,44 +592,44 @@ class PFChatting:
         send_success = False
         try:
             # --- Send the main text response ---
-            logger.debug(f"[{self.stream_id}][Sender-{thinking_id}] Sending response messages...")
+            logger.debug(f"{self._get_log_prefix()}[Sender-{thinking_id}] Sending response messages...")
             # This call implicitly handles replacing the MessageThinking with MessageSending/MessageSet
             first_bot_msg = await self.heartfc_chat._send_response_messages(anchor_message, response_set, thinking_id)
 
             if first_bot_msg:
                 send_success = True # Mark success
-                logger.info(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Successfully sent reply.")
+                logger.info(f"{self._get_log_prefix()}[Sender-{thinking_id}] Successfully sent reply.")
 
                 # --- Handle associated emoji (if determined by tools) ---
                 if send_emoji:
-                    logger.info(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Sending associated emoji: {send_emoji}")
+                    logger.info(f"{self._get_log_prefix()}[Sender-{thinking_id}] Sending associated emoji: {send_emoji}")
                     try:
                         # Use first_bot_msg as anchor if available, otherwise fallback to original anchor
                         emoji_anchor = first_bot_msg if first_bot_msg else anchor_message
                         await self.heartfc_chat._handle_emoji(emoji_anchor, response_set, send_emoji)
                     except Exception as e_emoji:
-                        logger.error(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Failed to send associated emoji: {e_emoji}")
+                        logger.error(f"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to send associated emoji: {e_emoji}")
                         # Log error but don't fail the whole send process for emoji failure
 
                 # --- Update relationship ---
                 try:
                     await self.heartfc_chat._update_relationship(anchor_message, response_set)
-                    logger.debug(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Updated relationship.")
+                    logger.debug(f"{self._get_log_prefix()}[Sender-{thinking_id}] Updated relationship.")
                 except Exception as e_rel:
-                    logger.error(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Failed to update relationship: {e_rel}")
+                    logger.error(f"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to update relationship: {e_rel}")
                     # Log error but don't fail the whole send process for relationship update failure
 
             else:
                  # Sending failed (e.g., _send_response_messages found thinking message already gone)
                  send_success = False
-                 logger.warning(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Failed to send reply (maybe thinking message expired or was removed?).")
+                 logger.warning(f"{self._get_log_prefix()}[Sender-{thinking_id}] Failed to send reply (maybe thinking message expired or was removed?).")
                  # No need to clean up thinking message here, _send_response_messages implies it's gone or handled
                  raise RuntimeError("Sending reply failed, _send_response_messages returned None.") # Signal failure
 
 
         except Exception as e:
             # Catch potential errors during sending or post-send actions
-            logger.error(f"[PFChatting-{self.stream_id}][Sender-{thinking_id}] Error during sending process: {e}")
+            logger.error(f"{self._get_log_prefix()}[Sender-{thinking_id}] Error during sending process: {e}")
             logger.error(traceback.format_exc())
             # Ensure thinking message is cleaned up if send failed mid-way and wasn't handled
             if not send_success:
@@ -633,21 +643,21 @@ class PFChatting:
         """
         Gracefully shuts down the PFChatting instance by cancelling the active loop task.
         """
-        logger.info(f"[{self.stream_id}] Shutting down PFChatting...")
+        logger.info(f"{self._get_log_prefix()} Shutting down PFChatting...")
         if self._loop_task and not self._loop_task.done():
-            logger.info(f"[{self.stream_id}] Cancelling active PF loop task.")
+            logger.info(f"{self._get_log_prefix()} Cancelling active PF loop task.")
             self._loop_task.cancel()
             try:
                 # Wait briefly for the task to acknowledge cancellation
                 await asyncio.wait_for(self._loop_task, timeout=5.0)
             except asyncio.CancelledError:
-                 logger.info(f"[{self.stream_id}] PF loop task cancelled successfully.")
+                 logger.info(f"{self._get_log_prefix()} PF loop task cancelled successfully.")
             except asyncio.TimeoutError:
-                 logger.warning(f"[{self.stream_id}] Timeout waiting for PF loop task cancellation.")
+                 logger.warning(f"{self._get_log_prefix()} Timeout waiting for PF loop task cancellation.")
             except Exception as e:
-                 logger.error(f"[{self.stream_id}] Error during loop task cancellation: {e}")
+                 logger.error(f"{self._get_log_prefix()} Error during loop task cancellation: {e}")
         else:
-             logger.info(f"[{self.stream_id}] No active PF loop task found to cancel.")
+             logger.info(f"{self._get_log_prefix()} No active PF loop task found to cancel.")
 
         # Ensure loop state is reset even if task wasn't running or cancellation failed
         self._loop_active = False
@@ -655,15 +665,14 @@ class PFChatting:
 
         # Double-check lock state (should be released by loop completion/cancellation handler)
         if self._processing_lock.locked():
-            logger.warning(f"[{self.stream_id}] Releasing processing lock during shutdown.")
+            logger.warning(f"{self._get_log_prefix()} Releasing processing lock during shutdown.")
             self._processing_lock.release()
 
-        logger.info(f"[{self.stream_id}] PFChatting shutdown complete.")
+        logger.info(f"{self._get_log_prefix()} PFChatting shutdown complete.")
 
     def _build_planner_prompt(self, observed_messages: List[dict], current_mind: Optional[str]) -> str:
         """构建 Planner LLM 的提示词 (现在包含 current_mind)"""
-        prompt = "你是一个聊天机器人助手，正在决定是否以及如何回应当前的聊天。\n"
-        prompt += f"你的名字是 {global_config.BOT_NICKNAME}。\n"
+        prompt = f"你的名字是 {global_config.BOT_NICKNAME}。是一个女大二学生，正在QQ聊天，正在决定是否以及如何回应当前的聊天。\n"
 
         # Add current mind state if available
         if current_mind:
@@ -684,6 +693,7 @@ class PFChatting:
         prompt += "1. 如果聊天内容无聊、与你无关、或者你的内部想法认为不适合回复，选择 'no_reply'。\n"
         prompt += "2. 如果聊天内容值得回应，且适合用文字表达（参考你的内部想法），选择 'text_reply'。\n"
         prompt += "3. 如果聊天内容或你的内部想法适合用一个表情来回应，选择 'emoji_reply' 并提供表情主题 'emoji_query'。\n"
+        prompt += "4. 如果你已经回复过消息，也没有人又回复你，选择'no_reply'。"
         prompt += "必须调用 'decide_reply_action' 工具并提供 'action' 和 'reasoning'。"
 
         return prompt 
@@ -695,12 +705,13 @@ class PFChatting:
         被 _run_pf_loop 直接调用和 await。
         Returns dict with 'response_set' and 'send_emoji' or None on failure.
         """
+        log_prefix = self._get_log_prefix()
         response_set: Optional[List[str]] = None
         try:
             # --- Tool Use and SubHF Thinking are now in _planner ---
 
             # --- Generate Response with LLM ---
-            logger.debug(f"[{self.stream_id}][Replier-{thinking_id}] Calling LLM to generate response...")
+            logger.debug(f"{log_prefix}[Replier-{thinking_id}] Calling LLM to generate response...")
             # 注意：实际的生成调用是在 self.heartfc_chat.gpt.generate_response 中
             response_set = await self.heartfc_chat.gpt.generate_response(
                 anchor_message,
@@ -710,17 +721,17 @@ class PFChatting:
             )
 
             if not response_set:
-                logger.warning(f"[{self.stream_id}][Replier-{thinking_id}] LLM生成了一个空回复集。")
+                logger.warning(f"{log_prefix}[Replier-{thinking_id}] LLM生成了一个空回复集。")
                 return None # Indicate failure
 
             # --- 准备并返回结果 ---
-            logger.info(f"[{self.stream_id}][Replier-{thinking_id}] 成功生成了回复集: {' '.join(response_set)[:50]}...")
+            logger.info(f"{log_prefix}[Replier-{thinking_id}] 成功生成了回复集: {' '.join(response_set)[:50]}...")
             return {
                 "response_set": response_set,
                 "send_emoji": send_emoji, # Pass through the emoji determined earlier (usually by tools)
             }
 
         except Exception as e:
-            logger.error(f"[PFChatting-{self.stream_id}][Replier-{thinking_id}] Unexpected error in replier_work: {e}")
+            logger.error(f"{log_prefix}[Replier-{thinking_id}] Unexpected error in replier_work: {e}")
             logger.error(traceback.format_exc())
             return None # Indicate failure