r

src/heart_flow/background_tasks.py

@@ -20,7 +20,7 @@ NORMAL_CHAT_TIMEOUT_CHECK_INTERVAL_SECONDS = 60
 # 新增状态评估间隔
 HF_JUDGE_STATE_UPDATE_INTERVAL_SECONDS = 60
 # 新增私聊激活检查间隔
-PRIVATE_CHAT_ACTIVATION_CHECK_INTERVAL_SECONDS = 5 # 与兴趣评估类似，设为5秒
+PRIVATE_CHAT_ACTIVATION_CHECK_INTERVAL_SECONDS = 5  # 与兴趣评估类似，设为5秒
 
 CLEANUP_INTERVAL_SECONDS = 1200
 STATE_UPDATE_INTERVAL_SECONDS = 60
@@ -76,7 +76,7 @@ class BackgroundTaskManager:
         self._normal_chat_timeout_check_task: Optional[asyncio.Task] = None
         self._hf_judge_state_update_task: Optional[asyncio.Task] = None
         self._into_focus_task: Optional[asyncio.Task] = None
-        self._private_chat_activation_task: Optional[asyncio.Task] = None # 新增私聊激活任务引用
+        self._private_chat_activation_task: Optional[asyncio.Task] = None  # 新增私聊激活任务引用
         self._tasks: List[Optional[asyncio.Task]] = []  # Keep track of all tasks
 
     async def start_tasks(self):
@@ -129,7 +129,7 @@ class BackgroundTaskManager:
             ),
             # 新增私聊激活任务配置
             (
-                 # Use lambda to pass the interval to the runner function
+                # Use lambda to pass the interval to the runner function
                 lambda: self._run_private_chat_activation_cycle(PRIVATE_CHAT_ACTIVATION_CHECK_INTERVAL_SECONDS),
                 "debug",
                 f"私聊激活检查任务已启动 间隔:{PRIVATE_CHAT_ACTIVATION_CHECK_INTERVAL_SECONDS}s",
@@ -294,5 +294,5 @@ class BackgroundTaskManager:
         await _run_periodic_loop(
             task_name="Private Chat Activation Check",
             interval=interval,
-            task_func=self.subheartflow_manager.sbhf_absent_private_into_focus 
+            task_func=self.subheartflow_manager.sbhf_absent_private_into_focus,
         )

src/heart_flow/observation.py

@@ -13,9 +13,8 @@ from src.plugins.utils.chat_message_builder import (
     get_person_id_list,
 )
 from src.plugins.utils.prompt_builder import Prompt, global_prompt_manager
-from src.plugins.chat.chat_stream import chat_manager
 from typing import Optional
-from src.plugins.person_info.person_info import person_info_manager
+
 # Import the new utility function
 from .utils_chat import get_chat_type_and_target_info
 
@@ -26,14 +25,14 @@ Prompt(
     """这是qq群聊的聊天记录，请总结以下聊天记录的主题：
 {chat_logs}
 请用一句话概括，包括人物、事件和主要信息，不要分点。""",
-    "chat_summary_group_prompt" # Template for group chat
+    "chat_summary_group_prompt",  # Template for group chat
 )
 
 Prompt(
     """这是你和{chat_target}的私聊记录，请总结以下聊天记录的主题：
 {chat_logs}
 请用一句话概括，包括事件，时间，和主要信息，不要分点。""",
-    "chat_summary_private_prompt" # Template for private chat
+    "chat_summary_private_prompt",  # Template for private chat
 )
 # --- End Prompt Template Definition ---
 
@@ -77,11 +76,12 @@ class ChattingObservation(Observation):
             model=global_config.llm_observation, temperature=0.7, max_tokens=300, request_type="chat_observation"
         )
 
-
     async def initialize(self):
         # --- Use utility function to determine chat type and fetch info ---
         self.is_group_chat, self.chat_target_info = await get_chat_type_and_target_info(self.chat_id)
-        logger.debug(f"ChattingObservation {self.chat_id} initialized: is_group={self.is_group_chat}, target_info={self.chat_target_info}")
+        logger.debug(
+            f"ChattingObservation {self.chat_id} initialized: is_group={self.is_group_chat}, target_info={self.chat_target_info}"
+        )
         # --- End using utility function ---
 
         # Fetch initial messages (existing logic)
@@ -141,30 +141,33 @@ class ChattingObservation(Observation):
             )
 
             # --- Build prompt using template ---
-            prompt = None # Initialize prompt as None
+            prompt = None  # Initialize prompt as None
             try:
                 # 构建 Prompt - 根据 is_group_chat 选择模板
                 if self.is_group_chat:
                     prompt_template_name = "chat_summary_group_prompt"
                     prompt = await global_prompt_manager.format_prompt(
-                        prompt_template_name,
-                        chat_logs=oldest_messages_str
+                        prompt_template_name, chat_logs=oldest_messages_str
                     )
                 else:
                     # For private chat, add chat_target to the prompt variables
                     prompt_template_name = "chat_summary_private_prompt"
                     # Determine the target name for the prompt
-                    chat_target_name = "对方" # Default fallback
+                    chat_target_name = "对方"  # Default fallback
                     if self.chat_target_info:
                         # Prioritize person_name, then nickname
-                        chat_target_name = self.chat_target_info.get('person_name') or self.chat_target_info.get('user_nickname') or chat_target_name
+                        chat_target_name = (
+                            self.chat_target_info.get("person_name")
+                            or self.chat_target_info.get("user_nickname")
+                            or chat_target_name
+                        )
 
                     # Format the private chat prompt
                     prompt = await global_prompt_manager.format_prompt(
                         prompt_template_name,
                         # Assuming the private prompt template uses {chat_target}
                         chat_target=chat_target_name,
-                        chat_logs=oldest_messages_str
+                        chat_logs=oldest_messages_str,
                     )
             except Exception as e:
                 logger.error(f"构建总结 Prompt 失败 for chat {self.chat_id}: {e}")
@@ -172,7 +175,7 @@ class ChattingObservation(Observation):
 
             summary = "没有主题的闲聊"  # 默认值
 
-            if prompt: # Check if prompt was built successfully
+            if prompt:  # Check if prompt was built successfully
                 try:
                     summary_result, _, _ = await self.llm_summary.generate_response(prompt)
                     if summary_result:  # 确保结果不为空
@@ -183,7 +186,6 @@ class ChattingObservation(Observation):
             else:
                 logger.warning(f"因 Prompt 构建失败，跳过 LLM 总结 for chat {self.chat_id}")
 
-
             mid_memory = {
                 "id": str(int(datetime.now().timestamp())),
                 "theme": summary,

src/heart_flow/sub_heartflow.py

@@ -13,7 +13,6 @@ from src.plugins.heartFC_chat.normal_chat import NormalChat
 from src.heart_flow.mai_state_manager import MaiStateInfo
 from src.heart_flow.chat_state_info import ChatState, ChatStateInfo
 from src.heart_flow.sub_mind import SubMind
-from src.plugins.person_info.person_info import person_info_manager
 from .utils_chat import get_chat_type_and_target_info
 
 
@@ -268,7 +267,7 @@ class SubHeartflow:
         )
 
         # 日志前缀 - Moved determination to initialize
-        self.log_prefix = str(subheartflow_id) # Initial default prefix
+        self.log_prefix = str(subheartflow_id)  # Initial default prefix
 
     async def initialize(self):
         """异步初始化方法，创建兴趣流并确定聊天类型"""
@@ -276,8 +275,12 @@ class SubHeartflow:
         # --- Use utility function to determine chat type and fetch info ---
         self.is_group_chat, self.chat_target_info = await get_chat_type_and_target_info(self.chat_id)
         # Update log prefix after getting info (potential stream name)
-        self.log_prefix = chat_manager.get_stream_name(self.subheartflow_id) or self.subheartflow_id # Keep this line or adjust if utils provides name
-        logger.debug(f"SubHeartflow {self.chat_id} initialized: is_group={self.is_group_chat}, target_info={self.chat_target_info}")
+        self.log_prefix = (
+            chat_manager.get_stream_name(self.subheartflow_id) or self.subheartflow_id
+        )  # Keep this line or adjust if utils provides name
+        logger.debug(
+            f"SubHeartflow {self.chat_id} initialized: is_group={self.is_group_chat}, target_info={self.chat_target_info}"
+        )
         # --- End using utility function ---
 
         # Initialize interest system (existing logic)
@@ -323,7 +326,7 @@ class SubHeartflow:
 
             # 启动聊天任务
             logger.info(f"{log_prefix} 开始普通聊天，随便水群...")
-            await self.normal_chat_instance.start_chat() # start_chat now ensures init is called again if needed
+            await self.normal_chat_instance.start_chat()  # start_chat now ensures init is called again if needed
             return True
         except Exception as e:
             logger.error(f"{log_prefix} 启动 NormalChat 或其初始化时出错: {e}")

src/heart_flow/sub_mind.py

@@ -69,7 +69,7 @@ def init_prompt():
 1. 输出想法后考虑是否需要使用工具
 2. 工具可获取信息或执行操作
 3. 如需处理消息或回复，请使用工具。"""
-    Prompt(private_prompt, "sub_heartflow_prompt_private_before") # New template name
+    Prompt(private_prompt, "sub_heartflow_prompt_private_before")  # New template name
 
     # --- Last Loop Prompt (remains the same) ---
     last_loop_t = """
@@ -152,16 +152,18 @@ class SubMind:
 
         # 获取观察对象
         observation = self.observations[0] if self.observations else None
-        if not observation or not hasattr(observation, 'is_group_chat'): # Ensure it's ChattingObservation or similar
+        if not observation or not hasattr(observation, "is_group_chat"):  # Ensure it's ChattingObservation or similar
             logger.error(f"{self.log_prefix} 无法获取有效的观察对象或缺少聊天类型信息")
             self.update_current_mind("(观察出错了...)")
             return self.current_mind, self.past_mind
 
         is_group_chat = observation.is_group_chat
         chat_target_info = observation.chat_target_info
-        chat_target_name = "对方" # Default for private
+        chat_target_name = "对方"  # Default for private
         if not is_group_chat and chat_target_info:
-            chat_target_name = chat_target_info.get('person_name') or chat_target_info.get('user_nickname') or chat_target_name
+            chat_target_name = (
+                chat_target_info.get("person_name") or chat_target_info.get("user_nickname") or chat_target_name
+            )
         # --- End getting observation info ---
 
         # 获取观察内容
@@ -290,15 +292,15 @@ class SubMind:
                 cycle_info_block=cycle_info_block,
                 # chat_target_name is not used in group prompt
             )
-        else: # Private chat
+        else:  # Private chat
             template_name = "sub_heartflow_prompt_private_before"
             prompt = (await global_prompt_manager.get_prompt_async(template_name)).format(
                 extra_info="",
                 prompt_personality=prompt_personality,
-                relation_prompt=relation_prompt, # Might need adjustment for private context
+                relation_prompt=relation_prompt,  # Might need adjustment for private context
                 bot_name=individuality.name,
                 time_now=time_now,
-                chat_target_name=chat_target_name, # Pass target name
+                chat_target_name=chat_target_name,  # Pass target name
                 chat_observe_info=chat_observe_info,
                 mood_info=mood_info,
                 hf_do_next=hf_do_next,

src/heart_flow/subheartflow_manager.py

@@ -345,7 +345,8 @@ class SubHeartflowManager:
         async with self._lock:
             # 1. 筛选出所有 ABSENT 状态的 *群聊* 子心流
             absent_group_subflows = [
-                hf for hf in self.subheartflows.values() 
+                hf
+                for hf in self.subheartflows.values()
                 if hf.chat_state.chat_status == ChatState.ABSENT and hf.is_group_chat
             ]
 
@@ -684,13 +685,13 @@ class SubHeartflowManager:
             current_state = subflow.chat_state.chat_status
 
             if current_state == ChatState.FOCUSED:
-                target_state = ChatState.ABSENT # Default target
+                target_state = ChatState.ABSENT  # Default target
                 log_reason = "默认转换 (私聊或群聊)"
 
                 # --- Modify logic based on chat type --- #
                 if subflow.is_group_chat:
                     # Group chat: Decide between ABSENT or CHAT
-                    if random.random() < 0.5: # 50% chance to try CHAT
+                    if random.random() < 0.5:  # 50% chance to try CHAT
                         current_mai_state = self.mai_state_info.get_current_state()
                         chat_limit = current_mai_state.get_normal_chat_max_num()
                         current_chat_count = self.count_subflows_by_state_nolock(ChatState.CHAT)
@@ -699,9 +700,11 @@ class SubHeartflowManager:
                             target_state = ChatState.CHAT
                             log_reason = f"群聊随机选择 CHAT (当前 {current_chat_count}/{chat_limit})"
                         else:
-                            target_state = ChatState.ABSENT # Fallback to ABSENT if CHAT limit reached
-                            log_reason = f"群聊随机选择 CHAT 但已达上限 ({current_chat_count}/{chat_limit})，转为 ABSENT"
-                    else: # 50% chance to go directly to ABSENT
+                            target_state = ChatState.ABSENT  # Fallback to ABSENT if CHAT limit reached
+                            log_reason = (
+                                f"群聊随机选择 CHAT 但已达上限 ({current_chat_count}/{chat_limit})，转为 ABSENT"
+                            )
+                    else:  # 50% chance to go directly to ABSENT
                         target_state = ChatState.ABSENT
                         log_reason = "群聊随机选择 ABSENT"
                 else:
@@ -732,6 +735,7 @@ class SubHeartflowManager:
                 logger.warning(
                     f"[状态转换请求] 收到对 {stream_name} 的请求，但其状态为 {current_state.value} (非 FOCUSED)，不执行转换"
                 )
+
     # --- 结束新增 --- #
 
     # --- 新增：处理私聊从 ABSENT 直接到 FOCUSED 的逻辑 --- #
@@ -747,10 +751,10 @@ class SubHeartflowManager:
 
         # --- 检查是否允许 FOCUS 模式 --- #
         if not global_config.allow_focus_mode:
-             # Log less frequently to avoid spam
-             # if int(time.time()) % 60 == 0:
-             #     logger.debug(f"{log_prefix_task} 配置不允许进入 FOCUSED 状态")
-             return
+            # Log less frequently to avoid spam
+            # if int(time.time()) % 60 == 0:
+            #     logger.debug(f"{log_prefix_task} 配置不允许进入 FOCUSED 状态")
+            return
 
         if focused_limit <= 0:
             # logger.debug(f"{log_prefix_task} 当前状态 ({current_mai_state.value}) 不允许 FOCUSED 子心流")
@@ -762,7 +766,8 @@ class SubHeartflowManager:
 
             # --- 筛选出所有 ABSENT 状态的私聊子心流 --- #
             eligible_subflows = [
-                hf for hf in self.subheartflows.values() 
+                hf
+                for hf in self.subheartflows.values()
                 if hf.chat_state.chat_status == ChatState.ABSENT and not hf.is_group_chat
             ]
             checked_count = len(eligible_subflows)
@@ -775,8 +780,10 @@ class SubHeartflowManager:
             for sub_hf in eligible_subflows:
                 # --- 再次检查 FOCUSED 上限，因为可能有多个同时激活 --- #
                 if current_focused_count >= focused_limit:
-                    logger.debug(f"{log_prefix_task} 已达专注上限 ({current_focused_count}/{focused_limit})，停止检查后续私聊。")
-                    break # 已满，无需再检查其他私聊
+                    logger.debug(
+                        f"{log_prefix_task} 已达专注上限 ({current_focused_count}/{focused_limit})，停止检查后续私聊。"
+                    )
+                    break  # 已满，无需再检查其他私聊
 
                 flow_id = sub_hf.subheartflow_id
                 stream_name = chat_manager.get_stream_name(flow_id) or flow_id
@@ -784,36 +791,40 @@ class SubHeartflowManager:
 
                 try:
                     # --- 检查是否有新活动 --- #
-                    observation = sub_hf._get_primary_observation() # 获取主要观察者
+                    observation = sub_hf._get_primary_observation()  # 获取主要观察者
                     is_active = False
                     if observation:
-                         # 检查自上次状态变为 ABSENT 后是否有新消息
-                         # 使用 chat_state_changed_time 可能更精确
-                         # 加一点点缓冲时间（例如 1 秒）以防时间戳完全相等
+                        # 检查自上次状态变为 ABSENT 后是否有新消息
+                        # 使用 chat_state_changed_time 可能更精确
+                        # 加一点点缓冲时间（例如 1 秒）以防时间戳完全相等
                         timestamp_to_check = sub_hf.chat_state_changed_time - 1
                         has_new = await observation.has_new_messages_since(timestamp_to_check)
                         if has_new:
-                             is_active = True
-                             logger.debug(f"{log_prefix} 检测到新消息，标记为活跃。")
-                         # 可选：检查兴趣度是否大于0 (如果需要)
-                         # interest_level = await sub_hf.interest_chatting.get_interest()
-                         # if interest_level > 0:
-                         #    is_active = True
-                         #    logger.debug(f"{log_prefix} 检测到兴趣度 > 0 ({interest_level:.2f})，标记为活跃。")
+                            is_active = True
+                            logger.debug(f"{log_prefix} 检测到新消息，标记为活跃。")
+                    # 可选：检查兴趣度是否大于0 (如果需要)
+                    # interest_level = await sub_hf.interest_chatting.get_interest()
+                    # if interest_level > 0:
+                    #    is_active = True
+                    #    logger.debug(f"{log_prefix} 检测到兴趣度 > 0 ({interest_level:.2f})，标记为活跃。")
                     else:
-                         logger.warning(f"{log_prefix} 无法获取主要观察者来检查活动状态。")
+                        logger.warning(f"{log_prefix} 无法获取主要观察者来检查活动状态。")
 
                     # --- 如果活跃且未达上限，则尝试转换 --- #
                     if is_active:
-                        logger.info(f"{log_prefix} 检测到活跃且未达专注上限 ({current_focused_count}/{focused_limit})，尝试转换为 FOCUSED。")
+                        logger.info(
+                            f"{log_prefix} 检测到活跃且未达专注上限 ({current_focused_count}/{focused_limit})，尝试转换为 FOCUSED。"
+                        )
                         await sub_hf.change_chat_state(ChatState.FOCUSED)
                         # 确认转换成功
                         if sub_hf.chat_state.chat_status == ChatState.FOCUSED:
                             transitioned_count += 1
-                            current_focused_count += 1 # 更新计数器以供本轮后续检查
+                            current_focused_count += 1  # 更新计数器以供本轮后续检查
                             logger.info(f"{log_prefix} 成功进入 FOCUSED 状态。")
                         else:
-                            logger.warning(f"{log_prefix} 尝试进入 FOCUSED 状态失败。当前状态: {sub_hf.chat_state.chat_status.value}")
+                            logger.warning(
+                                f"{log_prefix} 尝试进入 FOCUSED 状态失败。当前状态: {sub_hf.chat_state.chat_status.value}"
+                            )
                     # else: # 不活跃，无需操作
                     #    logger.debug(f"{log_prefix} 未检测到新活动，保持 ABSENT。")
 
@@ -822,7 +833,9 @@ class SubHeartflowManager:
 
         # --- 循环结束后记录总结日志 --- #
         if transitioned_count > 0:
-            logger.debug(f"{log_prefix_task} 完成，共检查 {checked_count} 个私聊，{transitioned_count} 个转换为 FOCUSED。")
+            logger.debug(
+                f"{log_prefix_task} 完成，共检查 {checked_count} 个私聊，{transitioned_count} 个转换为 FOCUSED。"
+            )
 
     # --- 结束新增 --- #
 

src/heart_flow/utils_chat.py

@@ -6,6 +6,7 @@ from src.plugins.person_info.person_info import person_info_manager
 
 logger = get_logger("heartflow_utils")
 
+
 async def get_chat_type_and_target_info(chat_id: str) -> Tuple[bool, Optional[Dict]]:
     """
     获取聊天类型（是否群聊）和私聊对象信息。
@@ -23,14 +24,14 @@ async def get_chat_type_and_target_info(chat_id: str) -> Tuple[bool, Optional[Di
     chat_target_info = None
 
     try:
-        chat_stream = await asyncio.to_thread(chat_manager.get_stream, chat_id) # Use to_thread if get_stream is sync
+        chat_stream = await asyncio.to_thread(chat_manager.get_stream, chat_id)  # Use to_thread if get_stream is sync
         # If get_stream is already async, just use: chat_stream = await chat_manager.get_stream(chat_id)
 
         if chat_stream:
             if chat_stream.group_info:
                 is_group_chat = True
-                chat_target_info = None # Explicitly None for group chat
-            elif chat_stream.user_info: # It's a private chat
+                chat_target_info = None  # Explicitly None for group chat
+            elif chat_stream.user_info:  # It's a private chat
                 is_group_chat = False
                 user_info = chat_stream.user_info
                 platform = chat_stream.platform
@@ -38,11 +39,11 @@ async def get_chat_type_and_target_info(chat_id: str) -> Tuple[bool, Optional[Di
 
                 # Initialize target_info with basic info
                 target_info = {
-                    'platform': platform,
-                    'user_id': user_id,
-                    'user_nickname': user_info.user_nickname,
-                    'person_id': None, 
-                    'person_name': None 
+                    "platform": platform,
+                    "user_id": user_id,
+                    "user_nickname": user_info.user_nickname,
+                    "person_id": None,
+                    "person_name": None,
                 }
 
                 # Try to fetch person info
@@ -54,10 +55,12 @@ async def get_chat_type_and_target_info(chat_id: str) -> Tuple[bool, Optional[Di
                         # get_value is async, so await it directly
                         person_name = await person_info_manager.get_value(person_id, "person_name")
 
-                    target_info['person_id'] = person_id
-                    target_info['person_name'] = person_name
+                    target_info["person_id"] = person_id
+                    target_info["person_name"] = person_name
                 except Exception as person_e:
-                    logger.warning(f"获取 person_id 或 person_name 时出错 for {platform}:{user_id} in utils: {person_e}")
+                    logger.warning(
+                        f"获取 person_id 或 person_name 时出错 for {platform}:{user_id} in utils: {person_e}"
+                    )
 
                 chat_target_info = target_info
         else:

src/plugins/heartFC_chat/heartFC_chat.py

@@ -26,7 +26,6 @@ from .heartFC_sender import HeartFCSender
 from src.plugins.chat.utils import process_llm_response
 from src.plugins.respon_info_catcher.info_catcher import info_catcher_manager
 from src.plugins.moods.moods import MoodManager
-from src.individuality.individuality import Individuality
 from src.heart_flow.utils_chat import get_chat_type_and_target_info
 
 
@@ -255,15 +254,19 @@ class HeartFChatting:
         try:
             self.chat_stream = await asyncio.to_thread(chat_manager.get_stream, self.stream_id)
             if not self.chat_stream:
-                 logger.error(f"[HFC:{self.stream_id}] 获取ChatStream失败 during _initialize, though util func might have succeeded earlier.")
-                 return False # Cannot proceed without chat_stream object
+                logger.error(
+                    f"[HFC:{self.stream_id}] 获取ChatStream失败 during _initialize, though util func might have succeeded earlier."
+                )
+                return False  # Cannot proceed without chat_stream object
             # Update log prefix using the fetched stream object
             self.log_prefix = f"[{chat_manager.get_stream_name(self.stream_id) or self.stream_id}]"
         except Exception as e:
-             logger.error(f"[HFC:{self.stream_id}] 获取ChatStream时出错 in _initialize: {e}")
-             return False
+            logger.error(f"[HFC:{self.stream_id}] 获取ChatStream时出错 in _initialize: {e}")
+            return False
 
-        logger.debug(f"{self.log_prefix} HeartFChatting initialized: is_group={self.is_group_chat}, target_info={self.chat_target_info}")
+        logger.debug(
+            f"{self.log_prefix} HeartFChatting initialized: is_group={self.is_group_chat}, target_info={self.chat_target_info}"
+        )
         # --- End using utility function ---
 
         self._initialized = True
@@ -853,13 +856,13 @@ class HeartFChatting:
 
             # --- 构建提示词 (调用修改后的 PromptBuilder 方法) ---
             prompt = await prompt_builder.build_planner_prompt(
-                is_group_chat=self.is_group_chat,            # <-- Pass HFC state
-                chat_target_info=self.chat_target_info,      # <-- Pass HFC state
-                cycle_history=self._cycle_history,          # <-- Pass HFC state
-                observed_messages_str=observed_messages_str, # <-- Pass local variable
-                current_mind=current_mind,                   # <-- Pass argument
-                structured_info=self.sub_mind.structured_info, # <-- Pass SubMind info
-                current_available_actions=current_available_actions # <-- Pass determined actions
+                is_group_chat=self.is_group_chat,  # <-- Pass HFC state
+                chat_target_info=self.chat_target_info,  # <-- Pass HFC state
+                cycle_history=self._cycle_history,  # <-- Pass HFC state
+                observed_messages_str=observed_messages_str,  # <-- Pass local variable
+                current_mind=current_mind,  # <-- Pass argument
+                structured_info=self.sub_mind.structured_info,  # <-- Pass SubMind info
+                current_available_actions=current_available_actions,  # <-- Pass determined actions
             )
 
             # --- 调用 LLM (普通文本生成) ---
@@ -1280,22 +1283,26 @@ class HeartFChatting:
             info_catcher = info_catcher_manager.get_info_catcher(thinking_id)
 
             # --- Determine sender_name for private chat ---
-            sender_name_for_prompt = "某人" # Default for group or if info unavailable
+            sender_name_for_prompt = "某人"  # Default for group or if info unavailable
             if not self.is_group_chat and self.chat_target_info:
                 # Prioritize person_name, then nickname
-                sender_name_for_prompt = self.chat_target_info.get('person_name') or self.chat_target_info.get('user_nickname') or sender_name_for_prompt
+                sender_name_for_prompt = (
+                    self.chat_target_info.get("person_name")
+                    or self.chat_target_info.get("user_nickname")
+                    or sender_name_for_prompt
+                )
             # --- End determining sender_name ---
 
             # 3. 构建 Prompt
             with Timer("构建Prompt", {}):  # 内部计时器，可选保留
                 prompt = await prompt_builder.build_prompt(
                     build_mode="focus",
-                    chat_stream=self.chat_stream, # Pass the stream object
+                    chat_stream=self.chat_stream,  # Pass the stream object
                     # Focus specific args:
                     reason=reason,
                     current_mind_info=self.sub_mind.current_mind,
                     structured_info=self.sub_mind.structured_info,
-                    sender_name=sender_name_for_prompt, # Pass determined name
+                    sender_name=sender_name_for_prompt,  # Pass determined name
                     # Normal specific args (not used in focus mode):
                     # message_txt="",
                 )
@@ -1305,8 +1312,8 @@ class HeartFChatting:
             reasoning_content = None
             model_name = "unknown_model"
             if not prompt:
-                 logger.error(f"{self.log_prefix}[Replier-{thinking_id}] Prompt 构建失败，无法生成回复。")
-                 return None
+                logger.error(f"{self.log_prefix}[Replier-{thinking_id}] Prompt 构建失败，无法生成回复。")
+                return None
 
             try:
                 with Timer("LLM生成", {}):  # 内部计时器，可选保留

src/plugins/heartFC_chat/heartflow_prompt_builder.py

@@ -157,7 +157,7 @@ JSON 结构如下，包含三个字段 "action", "reasoning", "emoji_query":
 回复尽量简短一些。请注意把握聊天内容，{reply_style2}。{prompt_ger}
 {reply_style1}，说中文，不要刻意突出自身学科背景，注意只输出回复内容。
 {moderation_prompt}。注意：回复不要输出多余内容(包括前后缀，冒号和引号，括号，表情包，at或 @等 )。""",
-        "heart_flow_private_prompt", # New template for private FOCUSED chat
+        "heart_flow_private_prompt",  # New template for private FOCUSED chat
     )
 
     # --- Template for NormalChat (CHAT mode) ---
@@ -179,7 +179,7 @@ JSON 结构如下，包含三个字段 "action", "reasoning", "emoji_query":
 请注意不要输出多余内容(包括前后缀，冒号和引号，括号等)，只输出回复内容。
 {moderation_prompt}
 不要输出多余内容(包括前后缀，冒号和引号，括号()，表情包，at或 @等 )。只输出回复内容""",
-        "reasoning_prompt_private_main", # New template for private CHAT chat
+        "reasoning_prompt_private_main",  # New template for private CHAT chat
     )
 
 
@@ -253,11 +253,11 @@ async def _build_prompt_focus(reason, current_mind_info, structured_info, chat_s
         prompt = await global_prompt_manager.format_prompt(
             template_name,
             info_from_tools=structured_info_prompt,
-            chat_target=chat_target_1, # Used in group template
+            chat_target=chat_target_1,  # Used in group template
             chat_talking_prompt=chat_talking_prompt,
             bot_name=global_config.BOT_NICKNAME,
             prompt_personality=prompt_personality,
-            chat_target_2=chat_target_2, # Used in group template
+            chat_target_2=chat_target_2,  # Used in group template
             current_mind_info=current_mind_info,
             reply_style2=reply_style2_chosen,
             reply_style1=reply_style1_chosen,
@@ -266,12 +266,12 @@ async def _build_prompt_focus(reason, current_mind_info, structured_info, chat_s
             moderation_prompt=await global_prompt_manager.get_prompt_async("moderation_prompt"),
             # sender_name is not used in the group template
         )
-    else: # Private chat
+    else:  # Private chat
         template_name = "heart_flow_private_prompt"
         prompt = await global_prompt_manager.format_prompt(
             template_name,
             info_from_tools=structured_info_prompt,
-            sender_name=effective_sender_name, # Used in private template
+            sender_name=effective_sender_name,  # Used in private template
             chat_talking_prompt=chat_talking_prompt,
             bot_name=global_config.BOT_NICKNAME,
             prompt_personality=prompt_personality,
@@ -302,10 +302,8 @@ class PromptBuilder:
         current_mind_info=None,
         structured_info=None,
         message_txt=None,
-        sender_name = "某人",
+        sender_name="某人",
     ) -> Optional[str]:
-        is_group_chat = bool(chat_stream.group_info)
-
         if build_mode == "normal":
             return await self._build_prompt_normal(chat_stream, message_txt, sender_name)
 
@@ -326,20 +324,22 @@ class PromptBuilder:
 
         who_chat_in_group = []
         if is_group_chat:
-             who_chat_in_group = get_recent_group_speaker(
-                 chat_stream.stream_id,
-                 (chat_stream.user_info.platform, chat_stream.user_info.user_id) if chat_stream.user_info else None,
-                 limit=global_config.observation_context_size,
-             )
+            who_chat_in_group = get_recent_group_speaker(
+                chat_stream.stream_id,
+                (chat_stream.user_info.platform, chat_stream.user_info.user_id) if chat_stream.user_info else None,
+                limit=global_config.observation_context_size,
+            )
         elif chat_stream.user_info:
-             who_chat_in_group.append((chat_stream.user_info.platform, chat_stream.user_info.user_id, chat_stream.user_info.user_nickname))
+            who_chat_in_group.append(
+                (chat_stream.user_info.platform, chat_stream.user_info.user_id, chat_stream.user_info.user_nickname)
+            )
 
         relation_prompt = ""
         for person in who_chat_in_group:
             if len(person) >= 3 and person[0] and person[1]:
-                 relation_prompt += await relationship_manager.build_relationship_info(person)
+                relation_prompt += await relationship_manager.build_relationship_info(person)
             else:
-                 logger.warning(f"Invalid person tuple encountered for relationship prompt: {person}")
+                logger.warning(f"Invalid person tuple encountered for relationship prompt: {person}")
 
         mood_manager = MoodManager.get_instance()
         mood_prompt = mood_manager.get_prompt()
@@ -425,8 +425,6 @@ class PromptBuilder:
         end_time = time.time()
         logger.debug(f"知识检索耗时: {(end_time - start_time):.3f}秒")
 
-
-
         if global_config.ENABLE_SCHEDULE_GEN:
             schedule_prompt = await global_prompt_manager.format_prompt(
                 "schedule_prompt", schedule_info=bot_schedule.get_current_num_task(num=1, time_info=False)
@@ -749,9 +747,9 @@ class PromptBuilder:
 
     async def build_planner_prompt(
         self,
-        is_group_chat: bool, # Now passed as argument
-        chat_target_info: Optional[dict], # Now passed as argument
-        cycle_history: Deque["CycleInfo"], # Now passed as argument (Type hint needs import or string)
+        is_group_chat: bool,  # Now passed as argument
+        chat_target_info: Optional[dict],  # Now passed as argument
+        cycle_history: Deque["CycleInfo"],  # Now passed as argument (Type hint needs import or string)
         observed_messages_str: str,
         current_mind: Optional[str],
         structured_info: Dict[str, Any],
@@ -762,9 +760,11 @@ class PromptBuilder:
         try:
             # --- Determine chat context ---
             chat_context_description = "你现在正在一个群聊中"
-            chat_target_name = None # Only relevant for private
+            chat_target_name = None  # Only relevant for private
             if not is_group_chat and chat_target_info:
-                chat_target_name = chat_target_info.get('person_name') or chat_target_info.get('user_nickname') or "对方"
+                chat_target_name = (
+                    chat_target_info.get("person_name") or chat_target_info.get("user_nickname") or "对方"
+                )
                 chat_context_description = f"你正在和 {chat_target_name} 私聊"
             # --- End determining chat context ---
 

src/plugins/heartFC_chat/normal_chat.py

@@ -49,7 +49,7 @@ class NormalChat:
         self.start_time = time.time()
         self.last_speak_time = 0
         self._chat_task: Optional[asyncio.Task] = None
-        self._initialized = False # Track initialization status
+        self._initialized = False  # Track initialization status
 
         # logger.info(f"[{self.stream_name}] NormalChat 实例 __init__ 完成 (同步部分)。")
         # Avoid logging here as stream_name might not be final
@@ -63,7 +63,9 @@ class NormalChat:
         self.is_group_chat, self.chat_target_info = await get_chat_type_and_target_info(self.stream_id)
         # Update stream_name again after potential async call in util func
         self.stream_name = chat_manager.get_stream_name(self.stream_id) or self.stream_id
-        logger.debug(f"[{self.stream_name}] NormalChat initialized: is_group={self.is_group_chat}, target_info={self.chat_target_info}")
+        logger.debug(
+            f"[{self.stream_name}] NormalChat initialized: is_group={self.is_group_chat}, target_info={self.chat_target_info}"
+        )
         # --- End using utility function ---
         self._initialized = True
         logger.info(f"[{self.stream_name}] NormalChat 实例 initialize 完成 (异步部分)。")
@@ -437,7 +439,7 @@ class NormalChat:
     async def start_chat(self):
         """先进行异步初始化，然后启动聊天任务。"""
         if not self._initialized:
-             await self.initialize() # Ensure initialized before starting tasks
+            await self.initialize()  # Ensure initialized before starting tasks
 
         if self._chat_task is None or self._chat_task.done():
             logger.info(f"[{self.stream_name}] 开始后台处理初始兴趣消息和轮询任务...")