feat：移除reply动作，合并tool配置项

src/chat/chat_loop/heartFC_chat.py

@@ -18,11 +18,12 @@ from src.chat.chat_loop.hfc_utils import CycleDetail
 from src.person_info.relationship_builder_manager import relationship_builder_manager
 from src.person_info.person_info import get_person_info_manager
 from src.plugin_system.base.component_types import ActionInfo, ChatMode
-from src.plugin_system.apis import generator_api, send_api, message_api
+from src.plugin_system.apis import generator_api, send_api, message_api, database_api
 from src.chat.willing.willing_manager import get_willing_manager
 from src.mais4u.mai_think import mai_thinking_manager
-from maim_message.message_base import GroupInfo
 from src.mais4u.constant_s4u import ENABLE_S4U
+from src.plugins.built_in.core_actions.no_reply import NoReplyAction
+from src.chat.chat_loop.hfc_utils import send_typing, stop_typing
 
 ERROR_LOOP_INFO = {
     "loop_plan_info": {
@@ -254,44 +255,19 @@ class HeartFChatting:
         person_name = await person_info_manager.get_value(person_id, "person_name")
         return f"{person_name}:{message_data.get('processed_plain_text')}"
 
-    async def send_typing(self):
-        group_info = GroupInfo(platform="amaidesu_default", group_id="114514", group_name="内心")
-
-        chat = await get_chat_manager().get_or_create_stream(
-            platform="amaidesu_default",
-            user_info=None,
-            group_info=group_info,
-        )
-
-        await send_api.custom_to_stream(
-            message_type="state", content="typing", stream_id=chat.stream_id, storage_message=False
-        )
-
-    async def stop_typing(self):
-        group_info = GroupInfo(platform="amaidesu_default", group_id="114514", group_name="内心")
-
-        chat = await get_chat_manager().get_or_create_stream(
-            platform="amaidesu_default",
-            user_info=None,
-            group_info=group_info,
-        )
-
-        await send_api.custom_to_stream(
-            message_type="state", content="stop_typing", stream_id=chat.stream_id, storage_message=False
-        )
-
     async def _observe(self, message_data: Optional[Dict[str, Any]] = None):
         # sourcery skip: hoist-statement-from-if, merge-comparisons, reintroduce-else
         if not message_data:
             message_data = {}
         action_type = "no_action"
+        reply_text = ""  # 初始化reply_text变量，避免UnboundLocalError
         # 创建新的循环信息
         cycle_timers, thinking_id = self.start_cycle()
 
         logger.info(f"{self.log_prefix} 开始第{self._cycle_counter}次思考[模式：{self.loop_mode}]")
         
         if ENABLE_S4U:
-            await self.send_typing()
+            await send_typing()
 
         async with global_prompt_manager.async_message_scope(self.chat_stream.context.get_template_name()):
             loop_start_time = time.time()
@@ -310,7 +286,7 @@ class HeartFChatting:
             # 如果normal，开始一个回复生成进程，先准备好回复（其实是和planer同时进行的）
             if self.loop_mode == ChatMode.NORMAL:
                 reply_to_str = await self.build_reply_to_str(message_data)
-                gen_task = asyncio.create_task(self._generate_response(message_data, available_actions, reply_to_str))
+                gen_task = asyncio.create_task(self._generate_response(message_data, available_actions, reply_to_str, "chat.replyer.normal"))
 
             with Timer("规划器", cycle_timers):
                 plan_result, target_message = await self.action_planner.plan(mode=self.loop_mode)
@@ -326,7 +302,7 @@ class HeartFChatting:
             action_data["loop_start_time"] = loop_start_time
 
             if self.loop_mode == ChatMode.NORMAL:
-                if action_type == "no_action":
+                if action_type == "reply":
                     logger.info(f"{self.log_prefix}{global_config.bot.nickname} 决定进行回复")
                 elif is_parallel:
                     logger.info(
@@ -335,45 +311,86 @@ class HeartFChatting:
                 else:
                     logger.info(f"{self.log_prefix}{global_config.bot.nickname} 决定执行{action_type}动作")
 
-            if action_type == "no_action":
+            action_message: Dict[str, Any] = message_data or target_message  # type: ignore
+            if action_type == "no_action" or (self.loop_mode == ChatMode.FOCUS and action_type == "reply"):
                 # 等待回复生成完毕
-                gather_timeout = global_config.chat.thinking_timeout
+                if action_type == "no_action":
-                try:
+                    gather_timeout = global_config.chat.thinking_timeout
-                    response_set = await asyncio.wait_for(gen_task, timeout=gather_timeout)
+                    try:
-                except asyncio.TimeoutError:
+                        response_set = await asyncio.wait_for(gen_task, timeout=gather_timeout)
-                    response_set = None
+                    except asyncio.TimeoutError:
+                        logger.warning(f"{self.log_prefix} 回复生成超时>{global_config.chat.thinking_timeout}s，已跳过")
+                        response_set = None
 
-                if response_set:
+                    if response_set:
-                    content = " ".join([item[1] for item in response_set if item[0] == "text"])
+                        content = " ".join([item[1] for item in response_set if item[0] == "text"])
 
-                # 模型炸了，没有回复内容生成
+                    # 模型炸了或超时，没有回复内容生成
-                if not response_set:
+                    if not response_set:
-                    logger.warning(f"{self.log_prefix}模型未生成回复内容")
+                        logger.warning(f"{self.log_prefix}模型未生成回复内容")
-                    return False
+                        return False
-                elif action_type not in ["no_action"] and not is_parallel:
+                    elif action_type not in ["no_action"] and not is_parallel:
-                    logger.info(
+                        logger.info(
-                        f"{self.log_prefix}{global_config.bot.nickname} 原本想要回复：{content}，但选择执行{action_type}，不发表回复"
+                            f"{self.log_prefix}{global_config.bot.nickname} 原本想要回复：{content}，但选择执行{action_type}，不发表回复"
-                    )
+                        )
-                    return False
+                        return False
-
+                else:
-                logger.info(f"{self.log_prefix}{global_config.bot.nickname} 决定的回复内容: {content}")
+                    logger.info(f"{self.log_prefix}{global_config.bot.nickname} 决定进行回复 (focus模式)")
-
+                    
-                # 发送回复 (不再需要传入 chat)
+                    # 构建reply_to字符串
-                reply_text = await self._send_response(response_set, reply_to_str, loop_start_time,message_data)
+                    reply_to_str = await self.build_reply_to_str(action_message)
+                    
+                    # 生成回复
+                    with Timer("回复生成", cycle_timers):
+                        response_set = await self._generate_response(action_message, available_actions, reply_to_str, request_type="chat.replyer.focus")
+                    
+                    if not response_set:
+                        logger.warning(f"{self.log_prefix}模型未生成回复内容")
+                        return False
+                    
+                # 发送回复
+                with Timer("回复发送", cycle_timers):
+                    reply_text = await self._send_response(response_set, reply_to_str, loop_start_time, action_message)
+                    
+                # 存储reply action信息 (focus模式)
+                person_info_manager = get_person_info_manager()
+                person_id = person_info_manager.get_person_id(
+                    action_message.get("chat_info_platform", ""),
+                    action_message.get("user_id", ""),
+                )
+                person_name = await person_info_manager.get_value(person_id, "person_name")
+                action_prompt_display = f"你对{person_name}进行了回复：{reply_text}"
+                
+                await database_api.store_action_info(
+                    chat_stream=self.chat_stream,
+                    action_build_into_prompt=False,
+                    action_prompt_display=action_prompt_display,
+                    action_done=True,
+                    thinking_id=thinking_id,
+                    action_data={"reply_text": reply_text, "reply_to": reply_to_str},
+                    action_name="reply",
+                )
                 
                 
+                # 构建循环信息
+                loop_info = {
+                    "loop_plan_info": {
+                        "action_result": plan_result.get("action_result", {}),
+                    },
+                    "loop_action_info": {
+                        "action_taken": True,
+                        "reply_text": reply_text,
+                        "command": "",
+                        "taken_time": time.time(),
+                    },
+                }
                 
+                success = True
+                command = ""
                 
-                
-                if ENABLE_S4U:
-                    await self.stop_typing()
-                    await mai_thinking_manager.get_mai_think(self.stream_id).do_think_after_response(reply_text)
-
                 return True
 
             else:
-                action_message: Dict[str, Any] = message_data or target_message  # type: ignore
-
                 # 动作执行计时
                 with Timer("动作执行", cycle_timers):
                     success, reply_text, command = await self._handle_action(
@@ -392,11 +409,11 @@ class HeartFChatting:
                     },
                 }
 
-                if loop_info["loop_action_info"]["command"] == "stop_focus_chat":
-                    logger.info(f"{self.log_prefix} 麦麦决定停止专注聊天")
-                    return False
-                    # 停止该聊天模式的循环
 
+        if ENABLE_S4U:
+            await stop_typing()
+            await mai_thinking_manager.get_mai_think(self.stream_id).do_think_after_response(reply_text)
+        
         self.end_cycle(loop_info, cycle_timers)
         self.print_cycle_info(cycle_timers)
 
@@ -406,13 +423,11 @@ class HeartFChatting:
         # 管理no_reply计数器：当执行了非no_reply动作时，重置计数器
         if action_type != "no_reply" and action_type != "no_action":
             # 导入NoReplyAction并重置计数器
-            from src.plugins.built_in.core_actions.no_reply import NoReplyAction
             NoReplyAction.reset_consecutive_count()
             logger.info(f"{self.log_prefix} 执行了{action_type}动作，重置no_reply计数器")
             return True
         elif action_type == "no_action":
-            # 当执行回复动作时，也重置no_reply计数器
+            # 当执行回复动作时，也重置no_reply计数器s
-            from src.plugins.built_in.core_actions.no_reply import NoReplyAction
             NoReplyAction.reset_consecutive_count()
             logger.info(f"{self.log_prefix} 执行了回复动作，重置no_reply计数器")
 
@@ -551,7 +566,7 @@ class HeartFChatting:
         return False
 
     async def _generate_response(
-        self, message_data: dict, available_actions: Optional[Dict[str, ActionInfo]], reply_to: str
+        self, message_data: dict, available_actions: Optional[Dict[str, ActionInfo]], reply_to: str, request_type: str = "chat.replyer.normal"
     ) -> Optional[list]:
         """生成普通回复"""
         try:
@@ -559,8 +574,8 @@ class HeartFChatting:
                 chat_stream=self.chat_stream,
                 reply_to=reply_to,
                 available_actions=available_actions,
-                enable_tool=global_config.tool.enable_in_normal_chat,
+                enable_tool=global_config.tool.enable_tool,
-                request_type="chat.replyer.normal",
+                request_type=request_type,
             )
 
             if not success or not reply_set:
@@ -589,7 +604,7 @@ class HeartFChatting:
                 f"{self.log_prefix} 从思考到回复，共有{new_message_count}条新消息，使用引用回复"
             )
         else:
-            logger.debug(
+            logger.info(
                 f"{self.log_prefix} 从思考到回复，共有{new_message_count}条新消息，不使用引用回复"
             )
 

src/chat/chat_loop/hfc_utils.py

@@ -1,10 +1,13 @@
 import time
-
 from typing import Optional, Dict, Any
 
 from src.config.config import global_config
-from src.common.message_repository import count_messages
 from src.common.logger import get_logger
+from src.chat.message_receive.chat_stream import get_chat_manager
+from src.plugin_system.apis import send_api
+from maim_message.message_base import GroupInfo
+
+from src.common.message_repository import count_messages
 
 logger = get_logger(__name__)
 
@@ -106,3 +109,30 @@ def get_recent_message_stats(minutes: float = 30, chat_id: Optional[str] = None)
     bot_reply_count = count_messages(bot_filter)
 
     return {"bot_reply_count": bot_reply_count, "total_message_count": total_message_count}
+
+
+async def send_typing():
+    group_info = GroupInfo(platform="amaidesu_default", group_id="114514", group_name="内心")
+
+    chat = await get_chat_manager().get_or_create_stream(
+        platform="amaidesu_default",
+        user_info=None,
+        group_info=group_info,
+    )
+
+    await send_api.custom_to_stream(
+        message_type="state", content="typing", stream_id=chat.stream_id, storage_message=False
+    )
+
+async def stop_typing():
+    group_info = GroupInfo(platform="amaidesu_default", group_id="114514", group_name="内心")
+
+    chat = await get_chat_manager().get_or_create_stream(
+        platform="amaidesu_default",
+        user_info=None,
+        group_info=group_info,
+    )
+
+    await send_api.custom_to_stream(
+        message_type="state", content="stop_typing", stream_id=chat.stream_id, storage_message=False
+    )

src/chat/planner_actions/planner.py

@@ -312,7 +312,7 @@ class ActionPlanner:
                 by_what = "聊天内容和用户的最新消息"
                 target_prompt = ""
                 no_action_block = """重要说明：
-- 'no_action' 表示只进行普通聊天回复，不执行任何额外动作
+- 'reply' 表示只进行普通聊天回复，不执行任何额外动作
 - 其他action表示在普通回复的基础上，执行相应的额外动作"""
 
             chat_context_description = "你现在正在一个群聊中"

src/chat/replyer/default_generator.py

@@ -151,7 +151,6 @@ class DefaultReplyer:
 
     async def generate_reply_with_context(
         self,
-        reply_data: Optional[Dict[str, Any]] = None,
         reply_to: str = "",
         extra_info: str = "",
         available_actions: Optional[Dict[str, ActionInfo]] = None,
@@ -160,29 +159,24 @@ class DefaultReplyer:
     ) -> Tuple[bool, Optional[str], Optional[str]]:
         """
         回复器 (Replier): 核心逻辑，负责生成回复文本。
-        (已整合原 HeartFCGenerator 的功能)
         """
         prompt = None
         if available_actions is None:
             available_actions = {}
         try:
-            if not reply_data:
-                reply_data = {
-                    "reply_to": reply_to,
-                    "extra_info": extra_info,
-                }
-                for key, value in reply_data.items():
-                    if not value:
-                        logger.debug(f"回复数据跳过{key}，生成回复时将忽略。")
-
             # 3. 构建 Prompt
             with Timer("构建Prompt", {}):  # 内部计时器，可选保留
                 prompt = await self.build_prompt_reply_context(
-                    reply_data=reply_data,  # 传递action_data
+                    reply_to = reply_to,
+                    extra_info=extra_info,
                     available_actions=available_actions,
                     enable_timeout=enable_timeout,
                     enable_tool=enable_tool,
                 )
+                
+            if not prompt:
+                logger.warning("构建prompt失败，跳过回复生成")
+                return False, None, None
 
             # 4. 调用 LLM 生成回复
             content = None
@@ -282,14 +276,13 @@ class DefaultReplyer:
             traceback.print_exc()
             return False, None
 
-    async def build_relation_info(self, reply_data=None):
+    async def build_relation_info(self, reply_to: str = ""):
         if not global_config.relationship.enable_relationship:
             return ""
 
         relationship_fetcher = relationship_fetcher_manager.get_fetcher(self.chat_stream.stream_id)
-        if not reply_data:
+        if not reply_to:
             return ""
-        reply_to = reply_data.get("reply_to", "")
         sender, text = self._parse_reply_target(reply_to)
         if not sender or not text:
             return ""
@@ -381,7 +374,7 @@ class DefaultReplyer:
 
         return memory_str
 
-    async def build_tool_info(self, chat_history, reply_data: Optional[Dict], enable_tool: bool = True):
+    async def build_tool_info(self, chat_history, reply_to: str = "", enable_tool: bool = True):
         """构建工具信息块
 
         Args:
@@ -395,10 +388,9 @@ class DefaultReplyer:
         if not enable_tool:
             return ""
 
-        if not reply_data:
+        if not reply_to:
             return ""
 
-        reply_to = reply_data.get("reply_to", "")
         sender, text = self._parse_reply_target(reply_to)
 
         if not text:
@@ -577,7 +569,8 @@ class DefaultReplyer:
 
     async def build_prompt_reply_context(
         self,
-        reply_data: Dict[str, Any],
+        reply_to: str,
+        extra_info: str = "",
         available_actions: Optional[Dict[str, ActionInfo]] = None,
         enable_timeout: bool = False,
         enable_tool: bool = True,
@@ -602,8 +595,6 @@ class DefaultReplyer:
         chat_id = chat_stream.stream_id
         person_info_manager = get_person_info_manager()
         is_group_chat = bool(chat_stream.group_info)
-        reply_to = reply_data.get("reply_to", "none")
-        extra_info_block = reply_data.get("extra_info", "") or reply_data.get("extra_info_block", "")
 
         if global_config.mood.enable_mood:
             chat_mood = mood_manager.get_mood_by_chat_id(chat_id)
@@ -612,6 +603,13 @@ class DefaultReplyer:
             mood_prompt = ""
 
         sender, target = self._parse_reply_target(reply_to)
+        person_info_manager = get_person_info_manager()
+        person_id = person_info_manager.get_person_id_by_person_name(sender)
+        user_id = person_info_manager.get_value_sync(person_id, "user_id")
+        platform = chat_stream.platform
+        if user_id == global_config.bot.qq_account and platform == global_config.bot.platform:
+            logger.warning("选取了自身作为回复对象，跳过构建prompt")
+            return ""
 
         target = replace_user_references_sync(target, chat_stream.platform, replace_bot_name=True)
 
@@ -630,21 +628,6 @@ class DefaultReplyer:
             limit=global_config.chat.max_context_size * 2,
         )
 
-        message_list_before_now = get_raw_msg_before_timestamp_with_chat(
-            chat_id=chat_id,
-            timestamp=time.time(),
-            limit=global_config.chat.max_context_size,
-        )
-        chat_talking_prompt = build_readable_messages(
-            message_list_before_now,
-            replace_bot_name=True,
-            merge_messages=False,
-            timestamp_mode="normal_no_YMD",
-            read_mark=0.0,
-            truncate=True,
-            show_actions=True,
-        )
-
         message_list_before_short = get_raw_msg_before_timestamp_with_chat(
             chat_id=chat_id,
             timestamp=time.time(),
@@ -664,10 +647,10 @@ class DefaultReplyer:
             self._time_and_run_task(
                 self.build_expression_habits(chat_talking_prompt_short, target), "expression_habits"
             ),
-            self._time_and_run_task(self.build_relation_info(reply_data), "relation_info"),
+            self._time_and_run_task(self.build_relation_info(reply_to), "relation_info"),
             self._time_and_run_task(self.build_memory_block(chat_talking_prompt_short, target), "memory_block"),
             self._time_and_run_task(
-                self.build_tool_info(chat_talking_prompt_short, reply_data, enable_tool=enable_tool), "tool_info"
+                self.build_tool_info(chat_talking_prompt_short, reply_to, enable_tool=enable_tool), "tool_info"
             ),
             self._time_and_run_task(get_prompt_info(target, threshold=0.38), "prompt_info"),
         )
@@ -700,8 +683,8 @@ class DefaultReplyer:
 
         keywords_reaction_prompt = await self.build_keywords_reaction_prompt(target)
 
-        if extra_info_block:
+        if extra_info:
-            extra_info_block = f"以下是你在回复时需要参考的信息，现在请你阅读以下内容，进行决策\n{extra_info_block}\n以上是你在回复时需要参考的信息，现在请你阅读以下内容，进行决策"
+            extra_info_block = f"以下是你在回复时需要参考的信息，现在请你阅读以下内容，进行决策\n{extra_info}\n以上是你在回复时需要参考的信息，现在请你阅读以下内容，进行决策"
         else:
             extra_info_block = ""
 

src/config/official_configs.py

@@ -77,7 +77,7 @@ class ChatConfig(ConfigBase):
     选择普通模型的概率为 1 - reasoning_normal_model_probability
     """
 
-    thinking_timeout: int = 30
+    thinking_timeout: int = 40
     """麦麦最长思考规划时间，超过这个时间的思考会放弃（往往是api反应太慢）"""
 
     talk_frequency: float = 1
@@ -299,11 +299,8 @@ class ExpressionConfig(ConfigBase):
 class ToolConfig(ConfigBase):
     """工具配置类"""
 
-    enable_in_normal_chat: bool = False
+    enable_tool: bool = False
-    """是否在普通聊天中启用工具"""
+    """是否在聊天中启用工具"""
-
-    enable_in_focus_chat: bool = True
-    """是否在专注聊天中启用工具"""
     
 @dataclass
 class VoiceConfig(ConfigBase):

src/plugin_system/apis/generator_api.py

@@ -107,10 +107,14 @@ async def generate_reply(
             return False, [], None
 
         logger.debug("[GeneratorAPI] 开始生成回复")
+        
+        if not reply_to:
+            reply_to = action_data.get("reply_to", "")
+        if not extra_info and action_data:
+            extra_info = action_data.get("extra_info", "")
 
         # 调用回复器生成回复
         success, content, prompt = await replyer.generate_reply_with_context(
-            reply_data=action_data or {},
             reply_to=reply_to,
             extra_info=extra_info,
             available_actions=available_actions,

src/plugins/built_in/core_actions/_manifest.json

@@ -24,11 +24,6 @@
     "is_built_in": true,
     "plugin_type": "action_provider",
     "components": [
-      {
-        "type": "action",
-        "name": "reply",
-        "description": "参与聊天回复，发送文本进行表达"
-      },
       {
         "type": "action", 
         "name": "no_reply",

src/plugins/built_in/core_actions/no_reply.py

@@ -61,7 +61,6 @@ class NoReplyAction(BaseAction):
 
     async def execute(self) -> Tuple[bool, str]:
         """执行不回复动作"""
-        import asyncio
 
         try:
             reason = self.action_data.get("reason", "")

src/plugins/built_in/core_actions/plugin.py

@@ -18,7 +18,6 @@ from src.common.logger import get_logger
 # 导入API模块 - 标准Python包方式
 from src.plugins.built_in.core_actions.no_reply import NoReplyAction
 from src.plugins.built_in.core_actions.emoji import EmojiAction
-from src.plugins.built_in.core_actions.reply import ReplyAction
 
 logger = get_logger("core_actions")
 
@@ -52,10 +51,9 @@ class CoreActionsPlugin(BasePlugin):
     config_schema: dict = {
         "plugin": {
             "enabled": ConfigField(type=bool, default=True, description="是否启用插件"),
-            "config_version": ConfigField(type=str, default="0.4.0", description="配置文件版本"),
+            "config_version": ConfigField(type=str, default="0.5.0", description="配置文件版本"),
         },
         "components": {
-            "enable_reply": ConfigField(type=bool, default=True, description="是否启用回复动作"),
             "enable_no_reply": ConfigField(type=bool, default=True, description="是否启用不回复动作"),
             "enable_emoji": ConfigField(type=bool, default=True, description="是否启用发送表情/图片动作"),
         },
@@ -74,8 +72,6 @@ class CoreActionsPlugin(BasePlugin):
 
         # --- 根据配置注册组件 ---
         components = []
-        if self.get_config("components.enable_reply", True):
-            components.append((ReplyAction.get_action_info(), ReplyAction))
         if self.get_config("components.enable_no_reply", True):
             components.append((NoReplyAction.get_action_info(), NoReplyAction))
         if self.get_config("components.enable_emoji", True):

src/plugins/built_in/core_actions/reply.py

@@ -1,150 +0,0 @@
-# 导入新插件系统
-from src.plugin_system import BaseAction, ActionActivationType, ChatMode
-from src.config.config import global_config
-import random
-import time
-from typing import Tuple
-import asyncio
-import re
-import traceback
-
-# 导入依赖的系统组件
-from src.common.logger import get_logger
-
-# 导入API模块 - 标准Python包方式
-from src.plugin_system.apis import generator_api, message_api
-# 注释：不再需要导入NoReplyAction，因为计数器管理已移至heartFC_chat.py
-# from src.plugins.built_in.core_actions.no_reply import NoReplyAction
-from src.person_info.person_info import get_person_info_manager
-from src.mais4u.mai_think import mai_thinking_manager
-from src.mais4u.constant_s4u import ENABLE_S4U
-
-logger = get_logger("reply_action")
-
-
-class ReplyAction(BaseAction):
-    """回复动作 - 参与聊天回复"""
-
-    # 激活设置
-    focus_activation_type = ActionActivationType.NEVER
-    normal_activation_type = ActionActivationType.NEVER
-    mode_enable = ChatMode.FOCUS
-    parallel_action = False
-
-    # 动作基本信息
-    action_name = "reply"
-    action_description = ""
-
-    # 动作参数定义
-    action_parameters = {}
-
-    # 动作使用场景
-    action_require = [""]
-
-    # 关联类型
-    associated_types = ["text"]
-
-    def _parse_reply_target(self, target_message: str) -> tuple:
-        sender = ""
-        target = ""
-        # 添加None检查，防止NoneType错误
-        if target_message is None:
-            return sender, target
-        if ":" in target_message or "：" in target_message:
-            # 使用正则表达式匹配中文或英文冒号
-            parts = re.split(pattern=r"[:：]", string=target_message, maxsplit=1)
-            if len(parts) == 2:
-                sender = parts[0].strip()
-                target = parts[1].strip()
-        return sender, target
-
-    async def execute(self) -> Tuple[bool, str]:
-        """执行回复动作"""
-        logger.debug(f"{self.log_prefix} 决定进行回复")
-        start_time = self.action_data.get("loop_start_time", time.time())
-
-        user_id = self.user_id
-        platform = self.platform
-        # logger.info(f"{self.log_prefix} 用户ID: {user_id}, 平台: {platform}")
-        person_id = get_person_info_manager().get_person_id(platform, user_id)  # type: ignore
-        # logger.info(f"{self.log_prefix} 人物ID: {person_id}")
-        person_name = get_person_info_manager().get_value_sync(person_id, "person_name")
-        reply_to = f"{person_name}:{self.action_message.get('processed_plain_text', '')}"  # type: ignore
-        logger.info(f"{self.log_prefix} 决定进行回复,目标: {reply_to}")
-
-        try:
-            if prepared_reply := self.action_data.get("prepared_reply", ""):
-                reply_text = prepared_reply
-            else:
-                try:
-                    success, reply_set, _ = await asyncio.wait_for(
-                        generator_api.generate_reply(
-                            extra_info="",
-                            reply_to=reply_to,
-                            chat_id=self.chat_id,
-                            request_type="chat.replyer.focus",
-                            enable_tool=global_config.tool.enable_in_focus_chat,
-                        ),
-                        timeout=global_config.chat.thinking_timeout,
-                    )
-                except asyncio.TimeoutError:
-                    logger.warning(f"{self.log_prefix} 回复生成超时 ({global_config.chat.thinking_timeout}s)")
-                    return False, "timeout"
-
-                # 检查从start_time以来的新消息数量
-                # 获取动作触发时间或使用默认值
-                current_time = time.time()
-                new_message_count = message_api.count_new_messages(
-                    chat_id=self.chat_id, start_time=start_time, end_time=current_time
-                )
-
-                # 根据新消息数量决定是否使用reply_to
-                need_reply = new_message_count >= random.randint(2, 4)
-                if need_reply:
-                    logger.info(
-                        f"{self.log_prefix} 从思考到回复，共有{new_message_count}条新消息，使用引用回复"
-                    )
-                else:
-                    logger.debug(
-                        f"{self.log_prefix} 从思考到回复，共有{new_message_count}条新消息，不使用引用回复"
-                    )
-
-            # 构建回复文本
-            reply_text = ""
-            first_replied = False
-            reply_to_platform_id = f"{platform}:{user_id}"
-            for reply_seg in reply_set:
-                data = reply_seg[1]
-                if not first_replied:
-                    if need_reply:
-                        await self.send_text(
-                            content=data, reply_to=reply_to, reply_to_platform_id=reply_to_platform_id, typing=False
-                        )
-                    else:
-                        await self.send_text(content=data, reply_to_platform_id=reply_to_platform_id, typing=False)
-                    first_replied = True
-                else:
-                    await self.send_text(content=data, reply_to_platform_id=reply_to_platform_id, typing=True)
-                reply_text += data
-
-            # 存储动作记录
-            reply_text = f"你对{person_name}进行了回复：{reply_text}"
-
-            if ENABLE_S4U:
-                await mai_thinking_manager.get_mai_think(self.chat_id).do_think_after_response(reply_text)
-
-            await self.store_action_info(
-                action_build_into_prompt=False,
-                action_prompt_display=reply_text,
-                action_done=True,
-            )
-
-            # 注释：重置NoReplyAction的连续计数器现在由heartFC_chat.py统一管理
-            # NoReplyAction.reset_consecutive_count()
-
-            return success, reply_text
-
-        except Exception as e:
-            logger.error(f"{self.log_prefix} 回复动作执行失败: {e}")
-            traceback.print_exc()
-            return False, f"回复失败: {str(e)}"

template/bot_config_template.toml

@@ -58,7 +58,7 @@ focus_value = 1
 willing_amplifier = 1 # 麦麦回复意愿
 
 max_context_size = 25 # 上下文长度
-thinking_timeout = 20 # 麦麦一次回复最长思考规划时间，超过这个时间的思考会放弃（往往是api反应太慢）
+thinking_timeout = 40 # 麦麦一次回复最长思考规划时间，超过这个时间的思考会放弃（往往是api反应太慢）
 replyer_random_probability = 0.5 # 首要replyer模型被选择的概率
 
 mentioned_bot_inevitable_reply = true # 提及 bot 大概率回复
@@ -107,8 +107,7 @@ ban_msgs_regex = [
 willing_mode = "classical" # 回复意愿模式 —— 经典模式：classical，mxp模式：mxp，自定义模式：custom（需要你自己实现）
 
 [tool]
-enable_in_normal_chat = false # 是否在普通聊天中启用工具
+enable_tool = false # 是否在普通聊天中启用工具
-enable_in_focus_chat = true # 是否在专注聊天中启用工具
 
 [emoji]
 emoji_chance = 0.6 # 麦麦激活表情包动作的概率