diff --git a/scripts/import_openie.py b/scripts/import_openie.py
index 2a6e09b73..851cc8b31 100644
--- a/scripts/import_openie.py
+++ b/scripts/import_openie.py
@@ -174,6 +174,11 @@ def main():
         embed_manager.load_from_file()
     except Exception as e:
         logger.error("从文件加载Embedding库时发生错误：{}".format(e))
+        if "嵌入模型与本地存储不一致" in str(e):
+            logger.error("检测到嵌入模型与本地存储不一致，已终止导入。请检查模型设置或清空嵌入库后重试。")
+            logger.error("请保证你的嵌入模型从未更改,并且在导入时使用相同的模型")
+            # print("检测到嵌入模型与本地存储不一致，已终止导入。请检查模型设置或清空嵌入库后重试。")
+            sys.exit(1)
         logger.error("如果你是第一次导入知识，请忽略此错误")
     logger.info("Embedding库加载完成")
     # 初始化KG
diff --git a/src/api/__init__.py b/src/api/__init__.py
index f5bc08a6e..e69de29bb 100644
--- a/src/api/__init__.py
+++ b/src/api/__init__.py
@@ -1,8 +0,0 @@
-from fastapi import FastAPI
-from strawberry.fastapi import GraphQLRouter
-
-app = FastAPI()
-
-graphql_router = GraphQLRouter(schema=None, path="/")  # Replace `None` with your actual schema
-
-app.include_router(graphql_router, prefix="/graphql", tags=["GraphQL"])
diff --git a/src/api/apiforgui.py b/src/api/apiforgui.py
new file mode 100644
index 000000000..75ef2f8d1
--- /dev/null
+++ b/src/api/apiforgui.py
@@ -0,0 +1,16 @@
+from src.heart_flow.heartflow import heartflow
+from src.heart_flow.sub_heartflow import ChatState
+
+
+async def get_all_subheartflow_ids() -> list:
+    """获取所有子心流的ID列表"""
+    all_subheartflows = heartflow.subheartflow_manager.get_all_subheartflows()
+    return [subheartflow.subheartflow_id for subheartflow in all_subheartflows]
+
+
+async def forced_change_subheartflow_status(subheartflow_id: str, status: ChatState) -> bool:
+    """强制改变子心流的状态"""
+    subheartflow = await heartflow.get_or_create_subheartflow(subheartflow_id)
+    if subheartflow:
+        return await heartflow.force_change_subheartflow_status(subheartflow_id, status)
+    return False
diff --git a/src/api/config_api.py b/src/api/config_api.py
index 6ecd4e6db..581c05a01 100644
--- a/src/api/config_api.py
+++ b/src/api/config_api.py
@@ -1,155 +1,187 @@
-from typing import List, Optional
+from typing import List, Optional, Dict, Any
 import strawberry
-
-# from packaging.version import Version, InvalidVersion
-# from packaging.specifiers import SpecifierSet, InvalidSpecifier
-# from ..config.config import global_config
-# import os
 from packaging.version import Version
+import os
+
+ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))
 
 
 @strawberry.type
-class BotConfig:
+class APIBotConfig:
     """机器人配置类"""
 
-    INNER_VERSION: Version
+    INNER_VERSION: Version  # 配置文件内部版本号
     MAI_VERSION: str  # 硬编码的版本信息
 
     # bot
-    BOT_QQ: Optional[int]
-    BOT_NICKNAME: Optional[str]
-    BOT_ALIAS_NAMES: List[str]  # 别名，可以通过这个叫它
+    BOT_QQ: Optional[int]  # 机器人QQ号
+    BOT_NICKNAME: Optional[str]  # 机器人昵称
+    BOT_ALIAS_NAMES: List[str]  # 机器人别名列表
 
     # group
-    talk_allowed_groups: set
-    talk_frequency_down_groups: set
-    ban_user_id: set
+    talk_allowed_groups: List[int]  # 允许回复消息的群号列表
+    talk_frequency_down_groups: List[int]  # 降低回复频率的群号列表
+    ban_user_id: List[int]  # 禁止回复和读取消息的QQ号列表
 
     # personality
-    personality_core: str  # 建议20字以内，谁再写3000字小作文敲谁脑袋
-    personality_sides: List[str]
+    personality_core: str  # 人格核心特点描述
+    personality_sides: List[str]  # 人格细节描述列表
+
     # identity
-    identity_detail: List[str]
-    height: int  # 身高 单位厘米
-    weight: int  # 体重 单位千克
-    age: int  # 年龄 单位岁
+    identity_detail: List[str]  # 身份特点列表
+    age: int  # 年龄（岁）
     gender: str  # 性别
-    appearance: str  # 外貌特征
+    appearance: str  # 外貌特征描述
 
     # schedule
     ENABLE_SCHEDULE_GEN: bool  # 是否启用日程生成
-    PROMPT_SCHEDULE_GEN: str
-    SCHEDULE_DOING_UPDATE_INTERVAL: int  # 日程表更新间隔 单位秒
-    SCHEDULE_TEMPERATURE: float  # 日程表温度，建议0.5-1.0
+    ENABLE_SCHEDULE_INTERACTION: bool  # 是否启用日程交互
+    PROMPT_SCHEDULE_GEN: str  # 日程生成提示词
+    SCHEDULE_DOING_UPDATE_INTERVAL: int  # 日程进行中更新间隔
+    SCHEDULE_TEMPERATURE: float  # 日程生成温度
     TIME_ZONE: str  # 时区
 
-    # message
-    MAX_CONTEXT_SIZE: int  # 上下文最大消息数
-    emoji_chance: float  # 发送表情包的基础概率
-    thinking_timeout: int  # 思考时间
-    model_max_output_length: int  # 最大回复长度
-    message_buffer: bool  # 消息缓冲器
+    # platforms
+    platforms: Dict[str, str]  # 平台信息
 
-    ban_words: set
-    ban_msgs_regex: set
-    # heartflow
-    # enable_heartflow: bool = False  # 是否启用心流
-    sub_heart_flow_update_interval: int  # 子心流更新频率，间隔 单位秒
-    sub_heart_flow_freeze_time: int  # 子心流冻结时间，超过这个时间没有回复，子心流会冻结，间隔 单位秒
-    sub_heart_flow_stop_time: int  # 子心流停止时间，超过这个时间没有回复，子心流会停止，间隔 单位秒
-    heart_flow_update_interval: int  # 心流更新频率，间隔 单位秒
-    observation_context_size: int  # 心流观察到的最长上下文大小，超过这个值的上下文会被压缩
-    compressed_length: int  # 不能大于observation_context_size,心流上下文压缩的最短压缩长度，超过心流观察到的上下文长度，会压缩，最短压缩长度为5
-    compress_length_limit: int  # 最多压缩份数，超过该数值的压缩上下文会被删除
+    # chat
+    allow_focus_mode: bool  # 是否允许专注模式
+    base_normal_chat_num: int  # 基础普通聊天次数
+    base_focused_chat_num: int  # 基础专注聊天次数
+    observation_context_size: int  # 观察上下文大小
+    message_buffer: bool  # 是否启用消息缓冲
+    ban_words: List[str]  # 禁止词列表
+    ban_msgs_regex: List[str]  # 禁止消息的正则表达式列表
 
-    # willing
+    # normal_chat
+    MODEL_R1_PROBABILITY: float  # 模型推理概率
+    MODEL_V3_PROBABILITY: float  # 模型普通概率
+    emoji_chance: float  # 表情符号出现概率
+    thinking_timeout: int  # 思考超时时间
     willing_mode: str  # 意愿模式
-    response_willing_amplifier: float  # 回复意愿放大系数
-    response_interested_rate_amplifier: float  # 回复兴趣度放大系数
-    down_frequency_rate: float  # 降低回复频率的群组回复意愿降低系数
-    emoji_response_penalty: float  # 表情包回复惩罚
-    mentioned_bot_inevitable_reply: bool  # 提及 bot 必然回复
-    at_bot_inevitable_reply: bool  # @bot 必然回复
+    response_willing_amplifier: float  # 回复意愿放大器
+    response_interested_rate_amplifier: float  # 回复兴趣率放大器
+    down_frequency_rate: float  # 降低频率率
+    emoji_response_penalty: float  # 表情回复惩罚
+    mentioned_bot_inevitable_reply: bool  # 提到机器人时是否必定回复
+    at_bot_inevitable_reply: bool  # @机器人时是否必定回复
 
-    # response
-    response_mode: str  # 回复策略
-    MODEL_R1_PROBABILITY: float  # R1模型概率
-    MODEL_V3_PROBABILITY: float  # V3模型概率
-    # MODEL_R1_DISTILL_PROBABILITY: float  # R1蒸馏模型概率
+    # focus_chat
+    reply_trigger_threshold: float  # 回复触发阈值
+    default_decay_rate_per_second: float  # 默认每秒衰减率
+    consecutive_no_reply_threshold: int  # 连续不回复阈值
+
+    # compressed
+    compressed_length: int  # 压缩长度
+    compress_length_limit: int  # 压缩长度限制
 
     # emoji
-    max_emoji_num: int  # 表情包最大数量
-    max_reach_deletion: bool  # 开启则在达到最大数量时删除表情包，关闭则不会继续收集表情包
-    EMOJI_CHECK_INTERVAL: int  # 表情包检查间隔（分钟）
-    EMOJI_REGISTER_INTERVAL: int  # 表情包注册间隔（分钟）
-    EMOJI_SAVE: bool  # 偷表情包
-    EMOJI_CHECK: bool  # 是否开启过滤
-    EMOJI_CHECK_PROMPT: str  # 表情包过滤要求
+    max_emoji_num: int  # 最大表情符号数量
+    max_reach_deletion: bool  # 达到最大数量时是否删除
+    EMOJI_CHECK_INTERVAL: int  # 表情检查间隔
+    EMOJI_REGISTER_INTERVAL: Optional[int]  # 表情注册间隔（兼容性保留）
+    EMOJI_SAVE: bool  # 是否保存表情
+    EMOJI_CHECK: bool  # 是否检查表情
+    EMOJI_CHECK_PROMPT: str  # 表情检查提示词
 
     # memory
-    build_memory_interval: int  # 记忆构建间隔（秒）
-    memory_build_distribution: list  # 记忆构建分布，参数：分布1均值，标准差，权重，分布2均值，标准差，权重
-    build_memory_sample_num: int  # 记忆构建采样数量
-    build_memory_sample_length: int  # 记忆构建采样长度
+    build_memory_interval: int  # 构建记忆间隔
+    memory_build_distribution: List[float]  # 记忆构建分布
+    build_memory_sample_num: int  # 构建记忆样本数量
+    build_memory_sample_length: int  # 构建记忆样本长度
     memory_compress_rate: float  # 记忆压缩率
-
-    forget_memory_interval: int  # 记忆遗忘间隔（秒）
-    memory_forget_time: int  # 记忆遗忘时间（小时）
-    memory_forget_percentage: float  # 记忆遗忘比例
-
-    memory_ban_words: list  # 添加新的配置项默认值
+    forget_memory_interval: int  # 忘记记忆间隔
+    memory_forget_time: int  # 记忆忘记时间
+    memory_forget_percentage: float  # 记忆忘记百分比
+    consolidate_memory_interval: int  # 巩固记忆间隔
+    consolidation_similarity_threshold: float  # 巩固相似度阈值
+    consolidation_check_percentage: float  # 巩固检查百分比
+    memory_ban_words: List[str]  # 记忆禁止词列表
 
     # mood
-    mood_update_interval: float  # 情绪更新间隔 单位秒
+    mood_update_interval: float  # 情绪更新间隔
     mood_decay_rate: float  # 情绪衰减率
     mood_intensity_factor: float  # 情绪强度因子
 
-    # keywords
-    keywords_reaction_rules: list  # 关键词回复规则
+    # keywords_reaction
+    keywords_reaction_enable: bool  # 是否启用关键词反应
+    keywords_reaction_rules: List[Dict[str, Any]]  # 关键词反应规则
 
     # chinese_typo
-    chinese_typo_enable: bool  # 是否启用中文错别字生成器
-    chinese_typo_error_rate: float  # 单字替换概率
-    chinese_typo_min_freq: int  # 最小字频阈值
-    chinese_typo_tone_error_rate: float  # 声调错误概率
-    chinese_typo_word_replace_rate: float  # 整词替换概率
+    chinese_typo_enable: bool  # 是否启用中文错别字
+    chinese_typo_error_rate: float  # 中文错别字错误率
+    chinese_typo_min_freq: int  # 中文错别字最小频率
+    chinese_typo_tone_error_rate: float  # 中文错别字声调错误率
+    chinese_typo_word_replace_rate: float  # 中文错别字单词替换率
 
     # response_splitter
     enable_response_splitter: bool  # 是否启用回复分割器
-    response_max_length: int  # 回复允许的最大长度
-    response_max_sentence_num: int  # 回复允许的最大句子数
+    response_max_length: int  # 回复最大长度
+    response_max_sentence_num: int  # 回复最大句子数
+    enable_kaomoji_protection: bool  # 是否启用颜文字保护
+
+    model_max_output_length: int  # 模型最大输出长度
 
     # remote
-    remote_enable: bool  # 是否启用远程控制
+    remote_enable: bool  # 是否启用远程功能
 
     # experimental
     enable_friend_chat: bool  # 是否启用好友聊天
-    # enable_think_flow: bool  # 是否启用思考流程
+    talk_allowed_private: List[int]  # 允许私聊的QQ号列表
     enable_pfc_chatting: bool  # 是否启用PFC聊天
 
     # 模型配置
-    llm_reasoning: dict[str, str]  # LLM推理
-    # llm_reasoning_minor: dict[str, str]
-    llm_normal: dict[str, str]  # LLM普通
-    llm_topic_judge: dict[str, str]  # LLM话题判断
-    llm_summary: dict[str, str]  # LLM话题总结
-    llm_emotion_judge: dict[str, str]  # LLM情感判断
-    embedding: dict[str, str]  # 嵌入
-    vlm: dict[str, str]  # VLM
-    moderation: dict[str, str]  # 审核
+    llm_reasoning: Dict[str, Any]  # 推理模型配置
+    llm_normal: Dict[str, Any]  # 普通模型配置
+    llm_topic_judge: Dict[str, Any]  # 主题判断模型配置
+    llm_summary: Dict[str, Any]  # 总结模型配置
+    llm_emotion_judge: Optional[Dict[str, Any]]  # 情绪判断模型配置（兼容性保留）
+    embedding: Dict[str, Any]  # 嵌入模型配置
+    vlm: Dict[str, Any]  # VLM模型配置
+    moderation: Optional[Dict[str, Any]]  # 审核模型配置（兼容性保留）
+    llm_observation: Dict[str, Any]  # 观察模型配置
+    llm_sub_heartflow: Dict[str, Any]  # 子心流模型配置
+    llm_heartflow: Dict[str, Any]  # 心流模型配置
+    llm_plan: Optional[Dict[str, Any]]  # 计划模型配置
+    llm_PFC_action_planner: Optional[Dict[str, Any]]  # PFC行动计划模型配置
+    llm_PFC_chat: Optional[Dict[str, Any]]  # PFC聊天模型配置
+    llm_PFC_reply_checker: Optional[Dict[str, Any]]  # PFC回复检查模型配置
+    llm_tool_use: Optional[Dict[str, Any]]  # 工具使用模型配置
 
-    # 实验性
-    llm_observation: dict[str, str]  # LLM观察
-    llm_sub_heartflow: dict[str, str]  # LLM子心流
-    llm_heartflow: dict[str, str]  # LLM心流
-
-    api_urls: dict[str, str]  # API URLs
+    api_urls: Optional[Dict[str, str]]  # API地址配置
 
 
 @strawberry.type
-class EnvConfig:
-    pass
+class APIEnvConfig:
+    """环境变量配置"""
+
+    HOST: str  # 服务主机地址
+    PORT: int  # 服务端口
+
+    PLUGINS: List[str]  # 插件列表
+
+    MONGODB_HOST: str  # MongoDB 主机地址
+    MONGODB_PORT: int  # MongoDB 端口
+    DATABASE_NAME: str  # 数据库名称
+
+    CHAT_ANY_WHERE_BASE_URL: str  # ChatAnywhere 基础URL
+    SILICONFLOW_BASE_URL: str  # SiliconFlow 基础URL
+    DEEP_SEEK_BASE_URL: str  # DeepSeek 基础URL
+
+    DEEP_SEEK_KEY: Optional[str]  # DeepSeek API Key
+    CHAT_ANY_WHERE_KEY: Optional[str]  # ChatAnywhere API Key
+    SILICONFLOW_KEY: Optional[str]  # SiliconFlow API Key
+
+    SIMPLE_OUTPUT: Optional[bool]  # 是否简化输出
+    CONSOLE_LOG_LEVEL: Optional[str]  # 控制台日志等级
+    FILE_LOG_LEVEL: Optional[str]  # 文件日志等级
+    DEFAULT_CONSOLE_LOG_LEVEL: Optional[str]  # 默认控制台日志等级
+    DEFAULT_FILE_LOG_LEVEL: Optional[str]  # 默认文件日志等级
 
     @strawberry.field
     def get_env(self) -> str:
         return "env"
+
+
+print("当前路径：")
+print(ROOT_PATH)
diff --git a/src/api/graphql/__init__.py b/src/api/maigraphql/__init__.py
similarity index 100%
rename from src/api/graphql/__init__.py
rename to src/api/maigraphql/__init__.py
diff --git a/src/api/graphql/schema.py b/src/api/maigraphql/schema.py
similarity index 100%
rename from src/api/graphql/schema.py
rename to src/api/maigraphql/schema.py
diff --git a/src/api/main.py b/src/api/main.py
new file mode 100644
index 000000000..6d7e3c1e2
--- /dev/null
+++ b/src/api/main.py
@@ -0,0 +1,56 @@
+from fastapi import APIRouter
+from strawberry.fastapi import GraphQLRouter
+
+# from src.config.config import BotConfig
+from src.common.logger_manager import get_logger
+from src.api.reload_config import reload_config as reload_config_func
+from src.common.server import global_server
+from .apiforgui import get_all_subheartflow_ids, forced_change_subheartflow_status
+from src.heart_flow.sub_heartflow import ChatState
+# import uvicorn
+# import os
+
+
+router = APIRouter()
+
+
+logger = get_logger("api")
+
+# maiapi = FastAPI()
+logger.info("麦麦API服务器已启动")
+graphql_router = GraphQLRouter(schema=None, path="/")  # Replace `None` with your actual schema
+
+router.include_router(graphql_router, prefix="/graphql", tags=["GraphQL"])
+
+
+@router.post("/config/reload")
+async def reload_config():
+    return await reload_config_func()
+
+
+@router.get("/gui/subheartflow/get/all")
+async def get_subheartflow_ids():
+    """获取所有子心流的ID列表"""
+    return await get_all_subheartflow_ids()
+
+
+@router.post("/gui/subheartflow/forced_change_status")
+async def forced_change_subheartflow_status_api(subheartflow_id: str, status: ChatState):  # noqa
+    """强制改变子心流的状态"""
+    # 参数检查
+    if not isinstance(status, ChatState):
+        logger.warning(f"无效的状态参数: {status}")
+        return {"status": "failed", "reason": "invalid status"}
+    logger.info(f"尝试将子心流 {subheartflow_id} 状态更改为 {status.value}")
+    success = await forced_change_subheartflow_status(subheartflow_id, status)
+    if success:
+        logger.info(f"子心流 {subheartflow_id} 状态更改为 {status.value} 成功")
+        return {"status": "success"}
+    else:
+        logger.error(f"子心流 {subheartflow_id} 状态更改为 {status.value} 失败")
+        return {"status": "failed"}
+
+
+def start_api_server():
+    """启动API服务器"""
+    global_server.register_router(router, prefix="/api/v1")
diff --git a/src/api/reload_config.py b/src/api/reload_config.py
new file mode 100644
index 000000000..a5f36e3db
--- /dev/null
+++ b/src/api/reload_config.py
@@ -0,0 +1,24 @@
+from fastapi import HTTPException
+from rich.traceback import install
+from src.config.config import BotConfig
+from src.common.logger_manager import get_logger
+import os
+
+install(extra_lines=3)
+
+logger = get_logger("api")
+
+
+async def reload_config():
+    try:
+        from src.config import config as config_module
+
+        logger.debug("正在重载配置文件...")
+        bot_config_path = os.path.join(BotConfig.get_config_dir(), "bot_config.toml")
+        config_module.global_config = BotConfig.load_config(config_path=bot_config_path)
+        logger.debug("配置文件重载成功")
+        return {"status": "reloaded"}
+    except FileNotFoundError as e:
+        raise HTTPException(status_code=404, detail=str(e)) from e
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"重载配置时发生错误: {str(e)}") from e
diff --git a/src/common/logger.py b/src/common/logger.py
index 5b03c7cfe..9c159232e 100644
--- a/src/common/logger.py
+++ b/src/common/logger.py
@@ -825,6 +825,22 @@ INIT_STYLE_CONFIG = {
     },
 }
 
+API_SERVER_STYLE_CONFIG = {
+    "advanced": {
+        "console_format": (
+            "<white>{time:YYYY-MM-DD HH:mm:ss}</white> | "
+            "<level>{level: <8}</level> | "
+            "<light-yellow>API服务</light-yellow> | "
+            "<level>{message}</level>"
+        ),
+        "file_format": "{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | API服务 | {message}",
+    },
+    "simple": {
+        "console_format": "<level>{time:MM-DD HH:mm}</level> | <light-green>API服务</light-green> | {message}",
+        "file_format": "{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {extra[module]: <15} | API服务 | {message}",
+    },
+}
+
 
 # 根据SIMPLE_OUTPUT选择配置
 MAIN_STYLE_CONFIG = MAIN_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else MAIN_STYLE_CONFIG["advanced"]
@@ -895,11 +911,11 @@ CHAT_MESSAGE_STYLE_CONFIG = (
 )
 CHAT_IMAGE_STYLE_CONFIG = CHAT_IMAGE_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else CHAT_IMAGE_STYLE_CONFIG["advanced"]
 INIT_STYLE_CONFIG = INIT_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else INIT_STYLE_CONFIG["advanced"]
+API_SERVER_STYLE_CONFIG = API_SERVER_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else API_SERVER_STYLE_CONFIG["advanced"]
 INTEREST_CHAT_STYLE_CONFIG = (
     INTEREST_CHAT_STYLE_CONFIG["simple"] if SIMPLE_OUTPUT else INTEREST_CHAT_STYLE_CONFIG["advanced"]
 )
 
-
 def is_registered_module(record: dict) -> bool:
     """检查是否为已注册的模块"""
     return record["extra"].get("module") in _handler_registry
diff --git a/src/common/logger_manager.py b/src/common/logger_manager.py
index 93be012b9..8aae71e10 100644
--- a/src/common/logger_manager.py
+++ b/src/common/logger_manager.py
@@ -42,6 +42,7 @@ from src.common.logger import (
     CHAT_IMAGE_STYLE_CONFIG,
     INIT_STYLE_CONFIG,
     INTEREST_CHAT_STYLE_CONFIG,
+    API_SERVER_STYLE_CONFIG,
 )
 
 # 可根据实际需要补充更多模块配置
@@ -88,6 +89,7 @@ MODULE_LOGGER_CONFIGS = {
     "chat_image": CHAT_IMAGE_STYLE_CONFIG,  # 聊天图片
     "init": INIT_STYLE_CONFIG,  # 初始化
     "interest_chat": INTEREST_CHAT_STYLE_CONFIG,  # 兴趣
+    "api": API_SERVER_STYLE_CONFIG,  # API服务器
     # ...如有更多模块，继续添加...
 }
 
diff --git a/src/heart_flow/heartflow.py b/src/heart_flow/heartflow.py
index bd8bc6ff4..894247ce4 100644
--- a/src/heart_flow/heartflow.py
+++ b/src/heart_flow/heartflow.py
@@ -1,4 +1,4 @@
-from src.heart_flow.sub_heartflow import SubHeartflow
+from src.heart_flow.sub_heartflow import SubHeartflow, ChatState
 from src.plugins.models.utils_model import LLMRequest
 from src.config.config import global_config
 from src.plugins.schedule.schedule_generator import bot_schedule
@@ -62,6 +62,11 @@ class Heartflow:
         # 不再需要传入 self.current_state
         return await self.subheartflow_manager.get_or_create_subheartflow(subheartflow_id)
 
+    async def force_change_subheartflow_status(self, subheartflow_id: str, status: ChatState) -> None:
+        """强制改变子心流的状态"""
+        # 这里的 message 是可选的，可能是一个消息对象，也可能是其他类型的数据
+        return await self.subheartflow_manager.force_change_state(subheartflow_id, status)
+
     async def heartflow_start_working(self):
         """启动后台任务"""
         await self.background_task_manager.start_tasks()
diff --git a/src/heart_flow/subheartflow_manager.py b/src/heart_flow/subheartflow_manager.py
index f06a68c87..b09f10844 100644
--- a/src/heart_flow/subheartflow_manager.py
+++ b/src/heart_flow/subheartflow_manager.py
@@ -83,6 +83,17 @@ class SubHeartflowManager:
             request_type="subheartflow_state_eval",  # 保留特定的请求类型
         )
 
+    async def force_change_state(self, subflow_id: Any, target_state: ChatState) -> bool:
+        """强制改变指定子心流的状态"""
+        async with self._lock:
+            subflow = self.subheartflows.get(subflow_id)
+            if not subflow:
+                logger.warning(f"[强制状态转换]尝试转换不存在的子心流{subflow_id} 到 {target_state.value}")
+                return False
+            await subflow.change_chat_state(target_state)
+            logger.info(f"[强制状态转换]子心流 {subflow_id} 已转换到 {target_state.value}")
+            return True
+
     def get_all_subheartflows(self) -> List["SubHeartflow"]:
         """获取所有当前管理的 SubHeartflow 实例列表 (快照)。"""
         return list(self.subheartflows.values())
@@ -92,7 +103,7 @@ class SubHeartflowManager:
 
         Args:
             subheartflow_id: 子心流唯一标识符
-            # mai_states 参数已被移除，使用 self.mai_state_info
+            mai_states 参数已被移除，使用 self.mai_state_info
 
         Returns:
             成功返回SubHeartflow实例，失败返回None
@@ -165,7 +176,7 @@ class SubHeartflowManager:
 
     def get_inactive_subheartflows(self, max_age_seconds=INACTIVE_THRESHOLD_SECONDS):
         """识别并返回需要清理的不活跃(处于ABSENT状态超过一小时)子心流(id, 原因)"""
-        current_time = time.time()
+        _current_time = time.time()
         flows_to_stop = []
 
         for subheartflow_id, subheartflow in list(self.subheartflows.items()):
@@ -173,9 +184,8 @@ class SubHeartflowManager:
             if state != ChatState.ABSENT:
                 continue
             subheartflow.update_last_chat_state_time()
-            absent_last_time = subheartflow.chat_state_last_time
-            if max_age_seconds and (current_time - absent_last_time) > max_age_seconds:
-                flows_to_stop.append(subheartflow_id)
+            _absent_last_time = subheartflow.chat_state_last_time
+            flows_to_stop.append(subheartflow_id)
 
         return flows_to_stop
 
diff --git a/src/main.py b/src/main.py
index 26a56ca2c..be71524e2 100644
--- a/src/main.py
+++ b/src/main.py
@@ -18,6 +18,7 @@ from .plugins.remote import heartbeat_thread  # noqa: F401
 from .individuality.individuality import Individuality
 from .common.server import global_server
 from rich.traceback import install
+from .api.main import start_api_server
 
 install(extra_lines=3)
 
@@ -54,6 +55,9 @@ class MainSystem:
         self.llm_stats.start()
         logger.success("LLM统计功能启动成功")
 
+        # 启动API服务器
+        start_api_server()
+        logger.success("API服务器启动成功")
         # 初始化表情管理器
         emoji_manager.initialize()
         logger.success("表情包管理器初始化成功")
diff --git a/src/plugins/config_reload/__init__.py b/src/plugins/config_reload/__init__.py
deleted file mode 100644
index 8b1378917..000000000
--- a/src/plugins/config_reload/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-
diff --git a/src/plugins/config_reload/api.py b/src/plugins/config_reload/api.py
deleted file mode 100644
index 56240b88e..000000000
--- a/src/plugins/config_reload/api.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from fastapi import APIRouter, HTTPException
-from rich.traceback import install
-
-install(extra_lines=3)
-
-# 创建APIRouter而不是FastAPI实例
-router = APIRouter()
-
-
-@router.post("/reload-config")
-async def reload_config():
-    try:  # TODO: 实现配置重载
-        # bot_config_path = os.path.join(BotConfig.get_config_dir(), "bot_config.toml")
-        # BotConfig.reload_config(config_path=bot_config_path)
-        return {"message": "TODO: 实现配置重载", "status": "unimplemented"}
-    except FileNotFoundError as e:
-        raise HTTPException(status_code=404, detail=str(e)) from e
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=f"重载配置时发生错误: {str(e)}") from e
diff --git a/src/plugins/config_reload/test.py b/src/plugins/config_reload/test.py
deleted file mode 100644
index fc4fc1e8c..000000000
--- a/src/plugins/config_reload/test.py
+++ /dev/null
@@ -1,4 +0,0 @@
-import requests
-
-response = requests.post("http://localhost:8080/api/reload-config")
-print(response.json())
diff --git a/src/plugins/knowledge/src/embedding_store.py b/src/plugins/knowledge/src/embedding_store.py
index e734f4e9a..5ee92a869 100644
--- a/src/plugins/knowledge/src/embedding_store.py
+++ b/src/plugins/knowledge/src/embedding_store.py
@@ -1,6 +1,7 @@
 from dataclasses import dataclass
 import json
 import os
+import math
 from typing import Dict, List, Tuple
 
 import numpy as np
@@ -25,9 +26,39 @@ from rich.progress import (
 )
 
 install(extra_lines=3)
-
+ROOT_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "..", ".."))
 TOTAL_EMBEDDING_TIMES = 3  # 统计嵌入次数
 
+# 嵌入模型测试字符串，测试模型一致性，来自开发群的聊天记录
+# 这些字符串的嵌入结果应该是固定的，不能随时间变化
+EMBEDDING_TEST_STRINGS = [
+    "阿卡伊真的太好玩了，神秘性感大女同等着你",
+    "你怎么知道我arc12.64了",
+    "我是蕾缪乐小姐的狗",
+    "关注Oct谢谢喵",
+    "不是w6我不草",
+    "关注千石可乐谢谢喵",
+    "来玩CLANNAD，AIR，樱之诗，樱之刻谢谢喵",
+    "关注墨梓柒谢谢喵",
+    "Ciallo~",
+    "来玩巧克甜恋谢谢喵",
+    "水印",
+    "我也在纠结晚饭，铁锅炒鸡听着就香！",
+    "test你妈喵",
+]
+EMBEDDING_TEST_FILE = os.path.join(ROOT_PATH, "data", "embedding_model_test.json")
+EMBEDDING_SIM_THRESHOLD = 0.99
+
+
+def cosine_similarity(a, b):
+    # 计算余弦相似度
+    dot = sum(x * y for x, y in zip(a, b))
+    norm_a = math.sqrt(sum(x * x for x in a))
+    norm_b = math.sqrt(sum(x * x for x in b))
+    if norm_a == 0 or norm_b == 0:
+        return 0.0
+    return dot / (norm_a * norm_b)
+
 
 @dataclass
 class EmbeddingStoreItem:
@@ -64,6 +95,46 @@ class EmbeddingStore:
     def _get_embedding(self, s: str) -> List[float]:
         return self.llm_client.send_embedding_request(global_config["embedding"]["model"], s)
 
+    def get_test_file_path(self):
+        return EMBEDDING_TEST_FILE
+
+    def save_embedding_test_vectors(self):
+        """保存测试字符串的嵌入到本地"""
+        test_vectors = {}
+        for idx, s in enumerate(EMBEDDING_TEST_STRINGS):
+            test_vectors[str(idx)] = self._get_embedding(s)
+        with open(self.get_test_file_path(), "w", encoding="utf-8") as f:
+            json.dump(test_vectors, f, ensure_ascii=False, indent=2)
+
+    def load_embedding_test_vectors(self):
+        """加载本地保存的测试字符串嵌入"""
+        path = self.get_test_file_path()
+        if not os.path.exists(path):
+            return None
+        with open(path, "r", encoding="utf-8") as f:
+            return json.load(f)
+
+    def check_embedding_model_consistency(self):
+        """校验当前模型与本地嵌入模型是否一致"""
+        local_vectors = self.load_embedding_test_vectors()
+        if local_vectors is None:
+            logger.warning("未检测到本地嵌入模型测试文件，将保存当前模型的测试嵌入。")
+            self.save_embedding_test_vectors()
+            return True
+        for idx, s in enumerate(EMBEDDING_TEST_STRINGS):
+            local_emb = local_vectors.get(str(idx))
+            if local_emb is None:
+                logger.warning("本地嵌入模型测试文件缺失部分测试字符串，将重新保存。")
+                self.save_embedding_test_vectors()
+                return True
+            new_emb = self._get_embedding(s)
+            sim = cosine_similarity(local_emb, new_emb)
+            if sim < EMBEDDING_SIM_THRESHOLD:
+                logger.error("嵌入模型一致性校验失败")
+                return False
+        logger.info("嵌入模型一致性校验通过。")
+        return True
+
     def batch_insert_strs(self, strs: List[str], times: int) -> None:
         """向库中存入字符串"""
         total = len(strs)
@@ -216,6 +287,17 @@ class EmbeddingManager:
         )
         self.stored_pg_hashes = set()
 
+    def check_all_embedding_model_consistency(self):
+        """对所有嵌入库做模型一致性校验"""
+        for store in [
+            self.paragraphs_embedding_store,
+            self.entities_embedding_store,
+            self.relation_embedding_store,
+        ]:
+            if not store.check_embedding_model_consistency():
+                return False
+        return True
+
     def _store_pg_into_embedding(self, raw_paragraphs: Dict[str, str]):
         """将段落编码存入Embedding库"""
         self.paragraphs_embedding_store.batch_insert_strs(list(raw_paragraphs.values()), times=1)
@@ -239,6 +321,8 @@ class EmbeddingManager:
 
     def load_from_file(self):
         """从文件加载"""
+        if not self.check_all_embedding_model_consistency():
+            raise Exception("嵌入模型与本地存储不一致，请检查模型设置或清空嵌入库后重试。")
         self.paragraphs_embedding_store.load_from_file()
         self.entities_embedding_store.load_from_file()
         self.relation_embedding_store.load_from_file()
@@ -250,6 +334,8 @@ class EmbeddingManager:
         raw_paragraphs: Dict[str, str],
         triple_list_data: Dict[str, List[List[str]]],
     ):
+        if not self.check_all_embedding_model_consistency():
+            raise Exception("嵌入模型与本地存储不一致，请检查模型设置或清空嵌入库后重试。")
         """存储新的数据集"""
         self._store_pg_into_embedding(raw_paragraphs)
         self._store_ent_into_embedding(triple_list_data)