feat：为复读增加硬限制

src/heart_flow/mai_state_manager.py

@@ -8,9 +8,22 @@ from src.plugins.moods.moods import MoodManager
 logger = get_logger("mai_state")
 
 
-# enable_unlimited_hfc_chat = True
+# -- 状态相关的可配置参数 (可以从 glocal_config 加载) --
-enable_unlimited_hfc_chat = False
+enable_unlimited_hfc_chat = True # 调试用：无限专注聊天
+# enable_unlimited_hfc_chat = False
+prevent_offline_state = True # 调试用：防止进入离线状态
 
+# 不同状态下普通聊天的最大消息数
+MAX_NORMAL_CHAT_NUM_PEEKING = 30
+MAX_NORMAL_CHAT_NUM_NORMAL = 40
+MAX_NORMAL_CHAT_NUM_FOCUSED = 30
+
+# 不同状态下专注聊天的最大消息数
+MAX_FOCUSED_CHAT_NUM_PEEKING = 20
+MAX_FOCUSED_CHAT_NUM_NORMAL = 30
+MAX_FOCUSED_CHAT_NUM_FOCUSED = 40
+
+# -- 状态定义 --
 
 class MaiState(enum.Enum):
     """
@@ -34,11 +47,11 @@ class MaiState(enum.Enum):
         if self == MaiState.OFFLINE:
             return 0
         elif self == MaiState.PEEKING:
-            return 30
+            return MAX_NORMAL_CHAT_NUM_PEEKING
         elif self == MaiState.NORMAL_CHAT:
-            return 40
+            return MAX_NORMAL_CHAT_NUM_NORMAL
         elif self == MaiState.FOCUSED_CHAT:
-            return 30
+            return MAX_NORMAL_CHAT_NUM_FOCUSED
 
     def get_focused_chat_max_num(self):
         # 调试用
@@ -48,11 +61,11 @@ class MaiState(enum.Enum):
         if self == MaiState.OFFLINE:
             return 0
         elif self == MaiState.PEEKING:
-            return 20
+            return MAX_FOCUSED_CHAT_NUM_PEEKING
         elif self == MaiState.NORMAL_CHAT:
-            return 30
+            return MAX_FOCUSED_CHAT_NUM_NORMAL
         elif self == MaiState.FOCUSED_CHAT:
-            return 40
+            return MAX_FOCUSED_CHAT_NUM_FOCUSED
 
 
 class MaiStateInfo:
@@ -110,7 +123,6 @@ class MaiStateManager:
     """管理 Mai 的整体状态转换逻辑"""
 
     def __init__(self):
-        # MaiStateManager doesn't hold the state itself, it operates on a MaiStateInfo instance.
         pass
 
     def check_and_decide_next_state(self, current_state_info: MaiStateInfo) -> Optional[MaiState]:
@@ -129,6 +141,13 @@ class MaiStateManager:
         time_since_last_min_check = current_time - current_state_info.last_min_check_time
         next_state: Optional[MaiState] = None
 
+        # 辅助函数：根据 prevent_offline_state 标志调整目标状态
+        def _resolve_offline(candidate_state: MaiState) -> MaiState:
+            if prevent_offline_state and candidate_state == MaiState.OFFLINE:
+                logger.debug(f"阻止进入 OFFLINE，改为 PEEKING")
+                return MaiState.PEEKING
+            return candidate_state
+
         if current_status == MaiState.OFFLINE:
             logger.info("当前[离线]，没看手机，思考要不要上线看看......")
         elif current_status == MaiState.PEEKING:
@@ -141,61 +160,71 @@ class MaiStateManager:
         # 1. 麦麦每分钟都有概率离线
         if time_since_last_min_check >= 60:
             if current_status != MaiState.OFFLINE:
-                if random.random() < 0.03:  # 3% 概率切换到 OFFLINE，20分钟有50%的概率还在线
+                if random.random() < 0.03:  # 3% 概率切换到 OFFLINE
-                    logger.debug(f"突然不想聊了，从 {current_status.value} 切换到 离线")
+                    potential_next = MaiState.OFFLINE
-                    next_state = MaiState.OFFLINE
+                    resolved_next = _resolve_offline(potential_next)
+                    logger.debug(f"规则1：概率触发下线，resolve 为 {resolved_next.value}")
+                    # 只有当解析后的状态与当前状态不同时才设置 next_state
+                    if resolved_next != current_status:
+                        next_state = resolved_next
 
-        # 2. 状态持续时间规则 (如果没有自行下线)
+        # 2. 状态持续时间规则 (只有在规则1没有触发状态改变时才检查)
         if next_state is None:
+            time_limit_exceeded = False
+            choices_list = []
+            weights = []
+            rule_id = ""
+
             if current_status == MaiState.OFFLINE:
-                # OFFLINE 最多保持一分钟
+                # 注意：即使 prevent_offline_state=True，也可能从初始的 OFFLINE 状态启动
-                # 目前是一个调试值，可以修改
                 if time_in_current_status >= 60:
+                    time_limit_exceeded = True
+                    rule_id = "2.1 (From OFFLINE)"
                     weights = [30, 30, 20, 20]
                     choices_list = [MaiState.PEEKING, MaiState.NORMAL_CHAT, MaiState.FOCUSED_CHAT, MaiState.OFFLINE]
-                    next_state_candidate = random.choices(choices_list, weights=weights, k=1)[0]
-                    if next_state_candidate != MaiState.OFFLINE:
-                        next_state = next_state_candidate
-                        logger.debug(f"上线！开始 {next_state.value}")
-                    else:
-                        # 继续离线状态
-                        next_state = MaiState.OFFLINE
-
             elif current_status == MaiState.PEEKING:
                 if time_in_current_status >= 600:  # PEEKING 最多持续 600 秒
+                    time_limit_exceeded = True
+                    rule_id = "2.2 (From PEEKING)"
                     weights = [70, 20, 10]
                     choices_list = [MaiState.OFFLINE, MaiState.NORMAL_CHAT, MaiState.FOCUSED_CHAT]
-                    next_state = random.choices(choices_list, weights=weights, k=1)[0]
-                    logger.debug(f"手机看完了，接下来 {next_state.value}")
-
             elif current_status == MaiState.NORMAL_CHAT:
                 if time_in_current_status >= 300:  # NORMAL_CHAT 最多持续 300 秒
+                    time_limit_exceeded = True
+                    rule_id = "2.3 (From NORMAL_CHAT)"
                     weights = [50, 50]
                     choices_list = [MaiState.OFFLINE, MaiState.FOCUSED_CHAT]
-                    next_state = random.choices(choices_list, weights=weights, k=1)[0]
-                    if next_state == MaiState.FOCUSED_CHAT:
-                        logger.debug(f"继续深入聊天， {next_state.value}")
-                    else:
-                        logger.debug(f"聊完了，接下来 {next_state.value}")
-
             elif current_status == MaiState.FOCUSED_CHAT:
                 if time_in_current_status >= 600:  # FOCUSED_CHAT 最多持续 600 秒
+                    time_limit_exceeded = True
+                    rule_id = "2.4 (From FOCUSED_CHAT)"
                     weights = [80, 20]
                     choices_list = [MaiState.OFFLINE, MaiState.NORMAL_CHAT]
-                    next_state = random.choices(choices_list, weights=weights, k=1)[0]
-                    logger.debug(f"深入聊天结束，接下来 {next_state.value}")
 
+            if time_limit_exceeded:
+                next_state_candidate = random.choices(choices_list, weights=weights, k=1)[0]
+                resolved_candidate = _resolve_offline(next_state_candidate)
+                logger.debug(f"规则{rule_id}：时间到，随机选择 {next_state_candidate.value}，resolve 为 {resolved_candidate.value}")
+                next_state = resolved_candidate # 直接使用解析后的状态
+
+            # 注意：enable_unlimited_hfc_chat 优先级高于 prevent_offline_state
+            # 如果触发了这个，它会覆盖上面规则2设置的 next_state
             if enable_unlimited_hfc_chat:
                 logger.debug("调试用：开挂了，强制切换到专注聊天")
                 next_state = MaiState.FOCUSED_CHAT
 
+        # --- 最终决策 --- #
         # 如果决定了下一个状态，且这个状态与当前状态不同，则返回下一个状态
         if next_state is not None and next_state != current_status:
             return next_state
         # 如果决定保持 OFFLINE (next_state == MaiState.OFFLINE) 且当前也是 OFFLINE，
-        # 并且是由于持续时间规则触发的，返回 OFFLINE 以便调用者可以重置计时器
+        # 并且是由于持续时间规则触发的，返回 OFFLINE 以便调用者可以重置计时器。
+        # 注意：这个分支只有在 prevent_offline_state = False 时才可能被触发。
         elif next_state == MaiState.OFFLINE and current_status == MaiState.OFFLINE and time_in_current_status >= 60:
             logger.debug("决定保持 OFFLINE (持续时间规则)，返回 OFFLINE 以提示重置计时器。")
             return MaiState.OFFLINE  # Return OFFLINE to signal caller that timer reset might be needed
         else:
+            # 1. next_state is None (没有触发任何转换规则)
+            # 2. next_state is not None 但等于 current_status (例如规则1想切OFFLINE但被resolve成PEEKING，而当前已经是PEEKING)
+            # 3. next_state is OFFLINE, current is OFFLINE, 但不是因为时间规则触发 (例如初始状态还没到60秒)
             return None  # 没有状态转换发生或无需重置计时器

src/plugins/heartFC_chat/heartFC_chat.py

@@ -1,6 +1,7 @@
 import asyncio
 import time
 import traceback
+import random # <--- 添加导入
 from typing import List, Optional, Dict, Any, Deque, Callable, Coroutine
 from collections import deque
 from src.plugins.chat.message import MessageRecv, BaseMessageInfo, MessageThinking, MessageSending
@@ -31,6 +32,8 @@ from src.individuality.individuality import Individuality
 
 INITIAL_DURATION = 60.0
 
+WAITING_TIME_THRESHOLD = 300 # 等待新消息时间阈值，单位秒
+
 
 logger = get_logger("interest")  # Logger Name Changed
 
@@ -45,10 +48,11 @@ class ActionManager:
     def __init__(self):
         # 初始化为默认动作集
         self._available_actions: Dict[str, str] = DEFAULT_ACTIONS.copy()
+        self._original_actions_backup: Optional[Dict[str, str]] = None # 用于临时移除时的备份
 
     def get_available_actions(self) -> Dict[str, str]:
         """获取当前可用的动作集"""
-        return self._available_actions
+        return self._available_actions.copy() # 返回副本以防外部修改
 
     def add_action(self, action_name: str, description: str) -> bool:
         """
@@ -81,6 +85,30 @@ class ActionManager:
         del self._available_actions[action_name]
         return True
 
+    def temporarily_remove_actions(self, actions_to_remove: List[str]):
+        """
+        临时移除指定的动作，备份原始动作集。
+        如果已经有备份，则不重复备份。
+        """
+        if self._original_actions_backup is None:
+            self._original_actions_backup = self._available_actions.copy()
+
+        actions_actually_removed = []
+        for action_name in actions_to_remove:
+            if action_name in self._available_actions:
+                del self._available_actions[action_name]
+                actions_actually_removed.append(action_name)
+        # logger.debug(f"临时移除了动作: {actions_actually_removed}") # 可选日志
+
+    def restore_actions(self):
+        """
+        恢复之前备份的原始动作集。
+        """
+        if self._original_actions_backup is not None:
+            self._available_actions = self._original_actions_backup.copy()
+            self._original_actions_backup = None
+            # logger.debug("恢复了原始动作集") # 可选日志
+
     def clear_actions(self):
         """清空所有动作"""
         self._available_actions.clear()
@@ -151,7 +179,7 @@ class HeartFChatting:
     其生命周期现在由其关联的 SubHeartflow 的 FOCUSED 状态控制。
     """
 
-    CONSECUTIVE_NO_REPLY_THRESHOLD = 5  # 连续不回复的阈值
+    CONSECUTIVE_NO_REPLY_THRESHOLD = 3  # 连续不回复的阈值
 
     def __init__(
         self,
@@ -214,6 +242,7 @@ class HeartFChatting:
         self._current_cycle: Optional[CycleInfo] = None
         self._lian_xu_bu_hui_fu_ci_shu: int = 0  # <--- 新增：连续不回复计数器
         self._shutting_down: bool = False  # <--- 新增：关闭标志位
+        self._lian_xu_deng_dai_shi_jian: float = 0.0  # <--- 新增：累计等待时间
 
     async def _initialize(self) -> bool:
         """
@@ -489,6 +518,7 @@ class HeartFChatting:
             logger.error(f"{self.log_prefix} 处理{action}时出错: {e}")
             # 出错时也重置计数器
             self._lian_xu_bu_hui_fu_ci_shu = 0
+            self._lian_xu_deng_dai_shi_jian = 0.0 # 重置累计等待时间
             return False, ""
 
     async def _handle_text_reply(self, reasoning: str, emoji_query: str, cycle_timers: dict) -> tuple[bool, str]:
@@ -511,6 +541,7 @@ class HeartFChatting:
         """
         # 重置连续不回复计数器
         self._lian_xu_bu_hui_fu_ci_shu = 0
+        self._lian_xu_deng_dai_shi_jian = 0.0 # 重置累计等待时间
 
         # 获取锚点消息
         anchor_message = await self._get_anchor_message()
@@ -566,6 +597,7 @@ class HeartFChatting:
             bool: 是否发送成功
         """
         logger.info(f"{self.log_prefix} 决定回复表情({emoji_query}): {reasoning}")
+        self._lian_xu_deng_dai_shi_jian = 0.0 # 重置累计等待时间（即使不计数也保持一致性）
 
         try:
             anchor = await self._get_anchor_message()
@@ -601,23 +633,41 @@ class HeartFChatting:
         observation = self.observations[0] if self.observations else None
 
         try:
+            dang_qian_deng_dai = 0.0 # 初始化本次等待时间
             with Timer("等待新消息", cycle_timers):
                 # 等待新消息、超时或关闭信号，并获取结果
                 await self._wait_for_new_message(observation, planner_start_db_time, self.log_prefix)
+            # 从计时器获取实际等待时间
+            dang_qian_deng_dai = cycle_timers.get("等待新消息", 0.0)
+
 
             if not self._shutting_down:
                 self._lian_xu_bu_hui_fu_ci_shu += 1
+                self._lian_xu_deng_dai_shi_jian += dang_qian_deng_dai # 累加等待时间
                 logger.debug(
-                    f"{self.log_prefix} 连续不回复计数增加: {self._lian_xu_bu_hui_fu_ci_shu}/{self.CONSECUTIVE_NO_REPLY_THRESHOLD}"
+                    f"{self.log_prefix} 连续不回复计数增加: {self._lian_xu_bu_hui_fu_ci_shu}/{self.CONSECUTIVE_NO_REPLY_THRESHOLD}, "
+                    f"本次等待: {dang_qian_deng_dai:.2f}秒, 累计等待: {self._lian_xu_deng_dai_shi_jian:.2f}秒"
                 )
 
-                # 检查是否达到阈值
+                # 检查是否同时达到次数和时间阈值
-                if self._lian_xu_bu_hui_fu_ci_shu >= self.CONSECUTIVE_NO_REPLY_THRESHOLD:
+                time_threshold = 0.66 * WAITING_TIME_THRESHOLD * self.CONSECUTIVE_NO_REPLY_THRESHOLD
+                if (self._lian_xu_bu_hui_fu_ci_shu >= self.CONSECUTIVE_NO_REPLY_THRESHOLD and
+                    self._lian_xu_deng_dai_shi_jian >= time_threshold):
                     logger.info(
-                        f"{self.log_prefix} 连续不回复达到阈值 ({self._lian_xu_bu_hui_fu_ci_shu}次)，调用回调请求状态转换"
+                        f"{self.log_prefix} 连续不回复达到阈值 ({self._lian_xu_bu_hui_fu_ci_shu}次) "
+                        f"且累计等待时间达到 {self._lian_xu_deng_dai_shi_jian:.2f}秒 (阈值 {time_threshold}秒)，"
+                        f"调用回调请求状态转换"
                     )
-                    # 调用回调。注意：这里不重置计数器，依赖回调函数成功改变状态来隐式重置上下文。
+                    # 调用回调。注意：这里不重置计数器和时间，依赖回调函数成功改变状态来隐式重置上下文。
                     await self.on_consecutive_no_reply_callback()
+                elif self._lian_xu_bu_hui_fu_ci_shu >= self.CONSECUTIVE_NO_REPLY_THRESHOLD:
+                    # 仅次数达到阈值，但时间未达到
+                    logger.debug(
+                        f"{self.log_prefix} 连续不回复次数达到阈值 ({self._lian_xu_bu_hui_fu_ci_shu}次) "
+                        f"但累计等待时间 {self._lian_xu_deng_dai_shi_jian:.2f}秒 未达到时间阈值 ({time_threshold}秒)，暂不调用回调"
+                    )
+                # else: 次数和时间都未达到阈值，不做处理
+
 
             return True
 
@@ -658,8 +708,8 @@ class HeartFChatting:
                 return True
 
             # 检查超时 (放在检查新消息和关闭之后)
-            if time.monotonic() - wait_start_time > 120:
+            if time.monotonic() - wait_start_time > WAITING_TIME_THRESHOLD:
-                logger.warning(f"{log_prefix} 等待新消息超时(20秒)")
+                logger.warning(f"{log_prefix} 等待新消息超时({WAITING_TIME_THRESHOLD}秒)")
                 return False
 
             try:
@@ -737,9 +787,49 @@ class HeartFChatting:
 
         参数:
             current_mind: 子思维的当前思考结果
+            cycle_timers: 计时器字典
+            is_re_planned: 是否为重新规划
         """
         logger.info(f"{self.log_prefix}[Planner] 开始{'重新' if is_re_planned else ''}执行规划器")
 
+        # --- 新增：检查历史动作并调整可用动作 ---
+        lian_xu_wen_ben_hui_fu = 0 # 连续文本回复次数
+        actions_to_remove_temporarily = []
+        probability_roll = random.random() # 在循环外掷骰子一次，用于概率判断
+
+        # 反向遍历最近的循环历史
+        for cycle in reversed(self._cycle_history):
+            # 只关心实际执行了动作的循环
+            if cycle.action_taken:
+                if cycle.action_type == "text_reply":
+                    lian_xu_wen_ben_hui_fu += 1
+                else:
+                    break # 遇到非文本回复，中断计数
+            # 检查最近的3个循环即可，避免检查过多历史 (如果历史很长)
+            if len(self._cycle_history) > 0 and cycle.cycle_id <= self._cycle_history[0].cycle_id + (len(self._cycle_history) - 4):
+                break
+
+        logger.debug(f"{self.log_prefix}[Planner] 检测到连续文本回复次数: {lian_xu_wen_ben_hui_fu}")
+
+        # 根据连续次数决定临时移除哪些动作
+        if lian_xu_wen_ben_hui_fu >= 3:
+            logger.info(f"{self.log_prefix}[Planner] 连续回复 >= 3 次，强制移除 text_reply 和 emoji_reply")
+            actions_to_remove_temporarily.extend(["text_reply", "emoji_reply"])
+        elif lian_xu_wen_ben_hui_fu == 2:
+            if probability_roll < 0.8: # 80% 概率
+                logger.info(f"{self.log_prefix}[Planner] 连续回复 2 次，80% 概率移除 text_reply 和 emoji_reply (触发)")
+                actions_to_remove_temporarily.extend(["text_reply", "emoji_reply"])
+            else:
+                logger.info(f"{self.log_prefix}[Planner] 连续回复 2 次，80% 概率移除 text_reply 和 emoji_reply (未触发)")
+        elif lian_xu_wen_ben_hui_fu == 1:
+            if probability_roll < 0.4: # 40% 概率
+                logger.info(f"{self.log_prefix}[Planner] 连续回复 1 次，40% 概率移除 text_reply (触发)")
+                actions_to_remove_temporarily.append("text_reply")
+            else:
+                logger.info(f"{self.log_prefix}[Planner] 连续回复 1 次，40% 概率移除 text_reply (未触发)")
+        # 如果 lian_xu_wen_ben_hui_fu == 0，则不移除任何动作
+        # --- 结束：检查历史动作 ---
+
         # 获取观察信息
         observation = self.observations[0]
         if is_re_planned:
@@ -754,6 +844,11 @@ class HeartFChatting:
         emoji_query = ""  # <--- 在这里初始化 emoji_query
 
         try:
+            # --- 新增：应用临时动作移除 ---
+            if actions_to_remove_temporarily:
+                self.action_manager.temporarily_remove_actions(actions_to_remove_temporarily)
+                logger.debug(f"{self.log_prefix}[Planner] 临时移除的动作: {actions_to_remove_temporarily}, 当前可用: {list(self.action_manager.get_available_actions().keys())}")
+
             # --- 构建提示词 ---
             replan_prompt_str = ""
             if is_re_planned:
@@ -767,6 +862,7 @@ class HeartFChatting:
             # --- 调用 LLM ---
             try:
                 planner_tools = self.action_manager.get_planner_tool_definition()
+                logger.debug(f"{self.log_prefix}[Planner] 本次使用的工具定义: {planner_tools}") # 记录本次使用的工具
                 _response_text, _reasoning_content, tool_calls = await self.planner_llm.generate_response_tool_async(
                     prompt=prompt,
                     tools=planner_tools,
@@ -810,15 +906,23 @@ class HeartFChatting:
                     extracted_action = arguments.get("action", "no_reply")
                     # 验证动作
                     if extracted_action not in self.action_manager.get_available_actions():
+                        # 如果LLM返回了一个此时不该用的动作（因为被临时移除了）
+                        # 或者完全无效的动作
                         logger.warning(
-                            f"{self.log_prefix}[Planner] LLM返回了未授权的动作: {extracted_action}，使用默认动作no_reply"
+                            f"{self.log_prefix}[Planner] LLM返回了当前不可用或无效的动作: {extracted_action}，将强制使用 'no_reply'"
                         )
                         action = "no_reply"
-                        reasoning = f"LLM返回了未授权的动作: {extracted_action}"
+                        reasoning = f"LLM返回了当前不可用的动作: {extracted_action}"
                         emoji_query = ""
-                        llm_error = False  # 视为非LLM错误，只是逻辑修正
+                        llm_error = False # 视为逻辑修正而非 LLM 错误
+                        # --- 检查 'no_reply' 是否也恰好被移除了 (极端情况) ---
+                        if "no_reply" not in self.action_manager.get_available_actions():
+                             logger.error(f"{self.log_prefix}[Planner] 严重错误：'no_reply' 动作也不可用！无法执行任何动作。")
+                             action = "error" # 回退到错误状态
+                             reasoning = "无法执行任何有效动作，包括 no_reply"
+                             llm_error = True
                     else:
-                        # 动作有效，使用提取的值
+                        # 动作有效且可用，使用提取的值
                         action = extracted_action
                         reasoning = arguments.get("reasoning", "未提供理由")
                         emoji_query = arguments.get("emoji_query", "")
@@ -837,8 +941,18 @@ class HeartFChatting:
                 reasoning = f"验证工具调用失败: {error_msg}"
                 logger.warning(f"{self.log_prefix}[Planner] {reasoning}")
             else:  # not valid_tool_calls
-                reasoning = "LLM未返回有效的工具调用"
+                # 如果没有有效的工具调用，我们需要检查 'no_reply' 是否是当前唯一可用的动作
-                logger.warning(f"{self.log_prefix}[Planner] {reasoning}")
+                available_actions = list(self.action_manager.get_available_actions().keys())
+                if available_actions == ["no_reply"]:
+                    logger.info(f"{self.log_prefix}[Planner] LLM未返回工具调用，但当前唯一可用动作是 'no_reply'，将执行 'no_reply'")
+                    action = "no_reply"
+                    reasoning = "LLM未返回工具调用，且当前仅 'no_reply' 可用"
+                    emoji_query = ""
+                    llm_error = False # 视为逻辑选择而非错误
+                else:
+                    reasoning = "LLM未返回有效的工具调用"
+                    logger.warning(f"{self.log_prefix}[Planner] {reasoning}")
+                    # llm_error 保持为 True
             # 如果 llm_error 仍然是 True，说明在处理过程中有错误发生
 
         except Exception as llm_e:
@@ -847,6 +961,12 @@ class HeartFChatting:
             action = "error"
             reasoning = f"Planner内部处理错误: {llm_e}"
             llm_error = True
+        # --- 新增：确保动作恢复 ---
+        finally:
+            if actions_to_remove_temporarily: # 只有当确实移除了动作时才需要恢复
+                 self.action_manager.restore_actions()
+                 logger.debug(f"{self.log_prefix}[Planner] 恢复了原始动作集, 当前可用: {list(self.action_manager.get_available_actions().keys())}")
+        # --- 结束：确保动作恢复 ---
         # --- 结束 LLM 决策 --- #
 
         return {

src/plugins/heartFC_chat/heartflow_prompt_builder.py

@@ -85,6 +85,7 @@ def init_prompt():
 - 遵守回复原则
 - 必须调用工具并包含action和reasoning
 - 你可以选择文字回复(text_reply)，纯表情回复(emoji_reply)，不回复(no_reply)
+- 并不是所有选择都可用
 - 选择text_reply或emoji_reply时必须提供emoji_query
 - 保持回复自然，符合日常聊天习惯""",
         "planner_prompt",