from typing import Literal from pydantic import Field from src.config.config_base import ValidatedConfigBase """ 须知： 1. 本文件中记录了所有的配置项 2. 重要的配置类继承自ValidatedConfigBase进行Pydantic验证 3. 所有新增的class都应在config.py中的Config类中添加字段 4. 对于新增的字段，若为可选项，则应在其后添加field()并设置default_factory或default """ class DatabaseConfig(ValidatedConfigBase): """数据库配置类""" database_type: Literal["sqlite", "mysql"] = Field(default="sqlite", description="数据库类型") sqlite_path: str = Field(default="data/MaiBot.db", description="SQLite数据库文件路径") mysql_host: str = Field(default="localhost", description="MySQL服务器地址") mysql_port: int = Field(default=3306, ge=1, le=65535, description="MySQL服务器端口") mysql_database: str = Field(default="maibot", description="MySQL数据库名") mysql_user: str = Field(default="root", description="MySQL用户名") mysql_password: str = Field(default="", description="MySQL密码") mysql_charset: str = Field(default="utf8mb4", description="MySQL字符集") mysql_unix_socket: str = Field(default="", description="MySQL Unix套接字路径") mysql_ssl_mode: Literal["DISABLED", "PREFERRED", "REQUIRED", "VERIFY_CA", "VERIFY_IDENTITY"] = Field( default="DISABLED", description="SSL模式" ) mysql_ssl_ca: str = Field(default="", description="SSL CA证书路径") mysql_ssl_cert: str = Field(default="", description="SSL客户端证书路径") mysql_ssl_key: str = Field(default="", description="SSL客户端密钥路径") mysql_autocommit: bool = Field(default=True, description="自动提交事务") mysql_sql_mode: str = Field(default="TRADITIONAL", description="SQL模式") connection_pool_size: int = Field(default=10, ge=1, description="连接池大小") connection_timeout: int = Field(default=10, ge=1, description="连接超时时间") # 批量动作记录存储配置 batch_action_storage_enabled: bool = Field(default=True, description="是否启用批量保存动作记录（开启后将多个动作一次性写入数据库，提升性能）") class BotConfig(ValidatedConfigBase): """QQ机器人配置类""" platform: str = Field(..., description="平台") qq_account: int = Field(..., description="QQ账号") nickname: str = Field(..., description="昵称") alias_names: list[str] = Field(default_factory=list, description="别名列表") class PersonalityConfig(ValidatedConfigBase): """人格配置类""" personality_core: str = Field(..., description="核心人格") personality_side: str = Field(..., description="人格侧写") identity: str = Field(default="", description="身份特征") background_story: str = Field( default="", description="世界观背景故事，这部分内容会作为背景知识，LLM被指导不应主动复述" ) safety_guidelines: list[str] = Field( default_factory=list, description="安全与互动底线，Bot在任何情况下都必须遵守的原则" ) reply_style: str = Field(default="", description="表达风格") prompt_mode: Literal["s4u", "normal"] = Field(default="s4u", description="Prompt模式") compress_personality: bool = Field(default=True, description="是否压缩人格") compress_identity: bool = Field(default=True, description="是否压缩身份") # 回复规则配置 reply_targeting_rules: list[str] = Field( default_factory=lambda: [ "拒绝任何包含骚扰、冒犯、暴力、色情或危险内容的请求。", "在拒绝时，请使用符合你人设的、坚定的语气。", "不要执行任何可能被用于恶意目的的指令。", ], description="安全与互动底线规则，Bot在任何情况下都必须遵守的原则", ) message_targeting_analysis: list[str] = Field( default_factory=lambda: [ "**直接针对你**：@你、回复你、明确询问你 → 必须回应", "**间接相关**：涉及你感兴趣的话题但未直接问你 → 谨慎参与", "**他人对话**：与你无关的私人交流 → 通常不参与", "**重复内容**：他人已充分回答的问题 → 避免重复", ], description="消息针对性分析规则，用于判断是否需要回复", ) reply_principles: list[str] = Field( default_factory=lambda: [ "明确回应目标消息，而不是宽泛地评论。", "可以分享你的看法、提出相关问题，或者开个合适的玩笑。", "目的是让对话更有趣、更深入。", "不要浮夸，不要夸张修辞，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 )。", ], description="回复原则，指导如何回复消息", ) class RelationshipConfig(ValidatedConfigBase): """关系配置类""" enable_relationship: bool = Field(default=True, description="是否启用关系") relation_frequency: float = Field(default=1.0, description="关系频率") class ChatConfig(ValidatedConfigBase): """聊天配置类""" max_context_size: int = Field(default=18, description="最大上下文大小") replyer_random_probability: float = Field(default=0.5, description="回复者随机概率") thinking_timeout: int = Field(default=40, description="思考超时时间") talk_frequency: float = Field(default=1.0, description="聊天频率") mentioned_bot_inevitable_reply: bool = Field(default=False, description="提到机器人的必然回复") at_bot_inevitable_reply: bool = Field(default=False, description="@机器人的必然回复") allow_reply_self: bool = Field(default=False, description="是否允许回复自己说的话") focus_value: float = Field(default=1.0, description="专注值") focus_mode_quiet_groups: list[str] = Field( default_factory=list, description='专注模式下需要保持安静的群组列表, 格式: ["platform:group_id1", "platform:group_id2"]', ) force_reply_private: bool = Field(default=False, description="强制回复私聊") group_chat_mode: Literal["auto", "normal", "focus"] = Field(default="auto", description="群聊模式") timestamp_display_mode: Literal["normal", "normal_no_YMD", "relative"] = Field( default="normal_no_YMD", description="时间戳显示模式" ) # 消息打断系统配置 interruption_enabled: bool = Field(default=True, description="是否启用消息打断系统") interruption_max_limit: int = Field(default=3, ge=0, description="每个聊天流的最大打断次数") interruption_probability_factor: float = Field( default=0.8, ge=0.0, le=1.0, description="打断概率因子，当前打断次数/最大打断次数超过此值时触发概率下降" ) interruption_afc_reduction: float = Field(default=0.05, ge=0.0, le=1.0, description="每次连续打断降低的afc阈值数值") # 动态消息分发系统配置 dynamic_distribution_enabled: bool = Field(default=True, description="是否启用动态消息分发周期调整") dynamic_distribution_base_interval: float = Field(default=5.0, ge=1.0, le=60.0, description="基础分发间隔（秒）") dynamic_distribution_min_interval: float = Field(default=1.0, ge=0.5, le=10.0, description="最小分发间隔（秒）") dynamic_distribution_max_interval: float = Field(default=30.0, ge=5.0, le=300.0, description="最大分发间隔（秒）") dynamic_distribution_jitter_factor: float = Field(default=0.2, ge=0.0, le=0.5, description="分发间隔随机扰动因子") max_concurrent_distributions: int = Field(default=10, ge=1, le=100, description="最大并发处理的消息流数量") class MessageReceiveConfig(ValidatedConfigBase): """消息接收配置类""" ban_words: list[str] = Field(default_factory=lambda: list(), description="禁用词列表") ban_msgs_regex: list[str] = Field(default_factory=lambda: list(), description="禁用消息正则列表") class NormalChatConfig(ValidatedConfigBase): """普通聊天配置类""" class ExpressionRule(ValidatedConfigBase): """表达学习规则""" chat_stream_id: str = Field(..., description="聊天流ID，空字符串表示全局") use_expression: bool = Field(default=True, description="是否使用学到的表达") learn_expression: bool = Field(default=True, description="是否学习表达") learning_strength: float = Field(default=1.0, description="学习强度") group: str | None = Field(default=None, description="表达共享组") class ExpressionConfig(ValidatedConfigBase): """表达配置类""" rules: list[ExpressionRule] = Field(default_factory=list, description="表达学习规则") @staticmethod def _parse_stream_config_to_chat_id(stream_config_str: str) -> str | None: """ 解析流配置字符串并生成对应的 chat_id Args: stream_config_str: 格式为 "platform:id:type" 的字符串 Returns: str: 生成的 chat_id，如果解析失败则返回 None """ try: parts = stream_config_str.split(":") if len(parts) != 3: return None platform = parts[0] id_str = parts[1] stream_type = parts[2] # 判断是否为群聊 is_group = stream_type == "group" # 使用与 ChatStream.get_stream_id 相同的逻辑生成 chat_id import hashlib if is_group: components = [platform, str(id_str)] else: components = [platform, str(id_str), "private"] key = "_".join(components) return hashlib.md5(key.encode()).hexdigest() except (ValueError, IndexError): return None def get_expression_config_for_chat(self, chat_stream_id: str | None = None) -> tuple[bool, bool, float]: """ 根据聊天流ID获取表达配置 Args: chat_stream_id: 聊天流ID，格式为哈希值 Returns: tuple: (是否使用表达, 是否学习表达, 学习间隔) """ if not self.rules: # 如果没有配置，使用默认值：启用表达，启用学习，强度1.0 return True, True, 1.0 # 优先检查聊天流特定的配置 if chat_stream_id: for rule in self.rules: if rule.chat_stream_id and self._parse_stream_config_to_chat_id(rule.chat_stream_id) == chat_stream_id: return rule.use_expression, rule.learn_expression, rule.learning_strength # 检查全局配置（chat_stream_id为空字符串的配置） for rule in self.rules: if rule.chat_stream_id == "": return rule.use_expression, rule.learn_expression, rule.learning_strength # 如果都没有匹配，返回默认值 return True, True, 1.0 class ToolConfig(ValidatedConfigBase): """工具配置类""" enable_tool: bool = Field(default=False, description="启用工具") class VoiceConfig(ValidatedConfigBase): """语音识别配置类""" enable_asr: bool = Field(default=False, description="启用语音识别") class EmojiConfig(ValidatedConfigBase): """表情包配置类""" emoji_chance: float = Field(default=0.6, description="表情包出现概率") emoji_activate_type: str = Field(default="random", description="表情包激活类型") max_reg_num: int = Field(default=200, description="最大表情包数量") do_replace: bool = Field(default=True, description="是否替换表情包") check_interval: float = Field(default=1.0, ge=0.01, description="检查间隔") steal_emoji: bool = Field(default=True, description="是否偷取表情包") content_filtration: bool = Field(default=False, description="内容过滤") filtration_prompt: str = Field(default="符合公序良俗", description="过滤提示") enable_emotion_analysis: bool = Field(default=True, description="启用情感分析") emoji_selection_mode: Literal["emotion", "description"] = Field(default="emotion", description="表情选择模式") max_context_emojis: int = Field(default=30, description="每次随机传递给LLM的表情包最大数量，0为全部") class MemoryConfig(ValidatedConfigBase): """记忆配置类""" enable_memory: bool = Field(default=True, description="启用记忆系统") memory_build_interval: int = Field(default=600, description="记忆构建间隔（秒）") # 记忆构建配置 min_memory_length: int = Field(default=10, description="最小记忆长度") max_memory_length: int = Field(default=500, description="最大记忆长度") memory_value_threshold: float = Field(default=0.7, description="记忆价值阈值") # 向量存储配置 vector_similarity_threshold: float = Field(default=0.8, description="向量相似度阈值") semantic_similarity_threshold: float = Field(default=0.6, description="语义相似度阈值") # 多阶段检索配置 metadata_filter_limit: int = Field(default=100, description="元数据过滤阶段返回数量") vector_search_limit: int = Field(default=50, description="向量搜索阶段返回数量") semantic_rerank_limit: int = Field(default=20, description="语义重排序阶段返回数量") final_result_limit: int = Field(default=10, description="最终结果数量") # 检索权重配置 vector_weight: float = Field(default=0.4, description="向量相似度权重") semantic_weight: float = Field(default=0.3, description="语义相似度权重") context_weight: float = Field(default=0.2, description="上下文权重") recency_weight: float = Field(default=0.1, description="时效性权重") # 记忆融合配置 fusion_similarity_threshold: float = Field(default=0.85, description="融合相似度阈值") deduplication_window_hours: int = Field(default=24, description="去重时间窗口（小时）") # 缓存配置 enable_memory_cache: bool = Field(default=True, description="启用记忆缓存") cache_ttl_seconds: int = Field(default=300, description="缓存生存时间（秒）") max_cache_size: int = Field(default=1000, description="最大缓存大小") # Vector DB记忆存储配置 (替代JSON存储) enable_vector_memory_storage: bool = Field(default=True, description="启用Vector DB记忆存储") enable_llm_instant_memory: bool = Field(default=True, description="启用基于LLM的瞬时记忆") enable_vector_instant_memory: bool = Field(default=True, description="启用基于向量的瞬时记忆") # Vector DB配置 vector_db_memory_collection: str = Field(default="unified_memory_v2", description="Vector DB记忆集合名称") vector_db_metadata_collection: str = Field(default="memory_metadata_v2", description="Vector DB元数据集合名称") vector_db_similarity_threshold: float = Field( default=0.5, description="Vector DB相似度阈值（推荐0.5-0.6，过高会导致检索不到结果）" ) vector_db_search_limit: int = Field(default=20, description="Vector DB搜索限制") vector_db_batch_size: int = Field(default=100, description="批处理大小") vector_db_enable_caching: bool = Field(default=True, description="启用内存缓存") vector_db_cache_size_limit: int = Field(default=1000, description="缓存大小限制") vector_db_auto_cleanup_interval: int = Field(default=3600, description="自动清理间隔（秒）") vector_db_retention_hours: int = Field(default=720, description="记忆保留时间（小时，默认30天）") # 遗忘引擎配置 enable_memory_forgetting: bool = Field(default=True, description="启用智能遗忘机制") forgetting_check_interval_hours: int = Field(default=24, description="遗忘检查间隔（小时）") base_forgetting_days: float = Field(default=30.0, description="基础遗忘天数") min_forgetting_days: float = Field(default=7.0, description="最小遗忘天数") max_forgetting_days: float = Field(default=365.0, description="最大遗忘天数") # 重要程度权重 critical_importance_bonus: float = Field(default=45.0, description="关键重要性额外天数") high_importance_bonus: float = Field(default=30.0, description="高重要性额外天数") normal_importance_bonus: float = Field(default=15.0, description="一般重要性额外天数") low_importance_bonus: float = Field(default=0.0, description="低重要性额外天数") # 置信度权重 verified_confidence_bonus: float = Field(default=30.0, description="已验证置信度额外天数") high_confidence_bonus: float = Field(default=20.0, description="高置信度额外天数") medium_confidence_bonus: float = Field(default=10.0, description="中等置信度额外天数") low_confidence_bonus: float = Field(default=0.0, description="低置信度额外天数") # 激活频率权重 activation_frequency_weight: float = Field(default=0.5, description="每次激活增加的天数权重") max_frequency_bonus: float = Field(default=10.0, description="最大激活频率奖励天数") # 休眠机制 dormant_threshold_days: int = Field(default=90, description="休眠状态判定天数") # === 混合记忆系统配置 === # 采样模式配置 memory_sampling_mode: Literal["immediate", "hippocampus", "all"] = Field( default="immediate", description="记忆采样模式：'immediate'(即时采样), 'hippocampus'(海马体定时采样) or 'all'(双模式)" ) # 海马体双峰采样配置 enable_hippocampus_sampling: bool = Field(default=True, description="启用海马体双峰采样策略") hippocampus_sample_interval: int = Field(default=1800, description="海马体采样间隔（秒，默认30分钟）") hippocampus_sample_size: int = Field(default=30, description="海马体每次采样的消息数量") hippocampus_batch_size: int = Field(default=5, description="海马体每批处理的记忆数量") # 双峰分布配置 [近期均值, 近期标准差, 近期权重, 远期均值, 远期标准差, 远期权重] hippocampus_distribution_config: list[float] = Field( default=[12.0, 8.0, 0.7, 48.0, 24.0, 0.3], description="海马体双峰分布配置：[近期均值(h), 近期标准差(h), 近期权重, 远期均值(h), 远期标准差(h), 远期权重]" ) # 自适应采样配置 adaptive_sampling_enabled: bool = Field(default=True, description="启用自适应采样策略") adaptive_sampling_threshold: float = Field(default=0.8, description="自适应采样负载阈值（0-1）") adaptive_sampling_check_interval: int = Field(default=300, description="自适应采样检查间隔（秒）") adaptive_sampling_max_concurrent_builds: int = Field(default=3, description="自适应采样最大并发记忆构建数") # 精准记忆配置（现有系统的增强版本） precision_memory_reply_threshold: float = Field( default=0.6, description="精准记忆回复触发阈值（对话价值评分超过此值时触发记忆构建）" ) precision_memory_max_builds_per_hour: int = Field(default=10, description="精准记忆每小时最大构建数量") # 混合系统优化配置 memory_system_load_balancing: bool = Field(default=True, description="启用记忆系统负载均衡") memory_build_throttling: bool = Field(default=True, description="启用记忆构建节流") memory_priority_queue_enabled: bool = Field(default=True, description="启用记忆优先级队列") class MoodConfig(ValidatedConfigBase): """情绪配置类""" enable_mood: bool = Field(default=False, description="启用情绪") mood_update_threshold: float = Field(default=1.0, description="情绪更新阈值") class KeywordRuleConfig(ValidatedConfigBase): """关键词规则配置类""" keywords: list[str] = Field(default_factory=lambda: [], description="关键词列表") regex: list[str] = Field(default_factory=lambda: [], description="正则表达式列表") reaction: str = Field(default="", description="反应内容") def __post_init__(self): import re if not self.keywords and not self.regex: raise ValueError("关键词规则必须至少包含keywords或regex中的一个") if not self.reaction: raise ValueError("关键词规则必须包含reaction") for pattern in self.regex: try: re.compile(pattern) except re.error as e: raise ValueError(f"无效的正则表达式 '{pattern}': {e!s}") from e class KeywordReactionConfig(ValidatedConfigBase): """关键词配置类""" keyword_rules: list[KeywordRuleConfig] = Field(default_factory=lambda: [], description="关键词规则列表") regex_rules: list[KeywordRuleConfig] = Field(default_factory=lambda: [], description="正则表达式规则列表") class CustomPromptConfig(ValidatedConfigBase): """自定义提示词配置类""" image_prompt: str = Field(default="", description="图片提示词") planner_custom_prompt_enable: bool = Field(default=False, description="启用规划器自定义提示词") planner_custom_prompt_content: str = Field(default="", description="规划器自定义提示词内容") class ResponsePostProcessConfig(ValidatedConfigBase): """回复后处理配置类""" enable_response_post_process: bool = Field(default=True, description="启用回复后处理") class ChineseTypoConfig(ValidatedConfigBase): """中文错别字配置类""" enable: bool = Field(default=True, description="启用") error_rate: float = Field(default=0.01, description="错误率") min_freq: int = Field(default=9, description="最小频率") tone_error_rate: float = Field(default=0.1, description="语调错误率") word_replace_rate: float = Field(default=0.006, description="词语替换率") class ResponseSplitterConfig(ValidatedConfigBase): """回复分割器配置类""" enable: bool = Field(default=True, description="启用") split_mode: str = Field(default="llm", description="分割模式: 'llm' 或 'punctuation'") max_length: int = Field(default=256, description="最大长度") max_sentence_num: int = Field(default=3, description="最大句子数") enable_kaomoji_protection: bool = Field(default=False, description="启用颜文字保护") class DebugConfig(ValidatedConfigBase): """调试配置类""" show_prompt: bool = Field(default=False, description="显示提示") class ExperimentalConfig(ValidatedConfigBase): """实验功能配置类""" pfc_chatting: bool = Field(default=False, description="启用PFC聊天") class MaimMessageConfig(ValidatedConfigBase): """maim_message配置类""" use_custom: bool = Field(default=False, description="启用自定义") host: str = Field(default="127.0.0.1", description="主机") port: int = Field(default=8090, description="端口") mode: Literal["ws", "tcp"] = Field(default="ws", description="模式") use_wss: bool = Field(default=False, description="启用WSS") cert_file: str = Field(default="", description="证书文件") key_file: str = Field(default="", description="密钥文件") auth_token: list[str] = Field(default_factory=lambda: [], description="认证令牌列表") class LPMMKnowledgeConfig(ValidatedConfigBase): """LPMM知识库配置类""" enable: bool = Field(default=True, description="启用") rag_synonym_search_top_k: int = Field(default=10, description="RAG同义词搜索Top K") rag_synonym_threshold: float = Field(default=0.8, description="RAG同义词阈值") info_extraction_workers: int = Field(default=3, description="信息提取工作线程数") qa_relation_search_top_k: int = Field(default=10, description="QA关系搜索Top K") qa_relation_threshold: float = Field(default=0.75, description="QA关系阈值") qa_paragraph_search_top_k: int = Field(default=1000, description="QA段落搜索Top K") qa_paragraph_node_weight: float = Field(default=0.05, description="QA段落节点权重") qa_ent_filter_top_k: int = Field(default=10, description="QA实体过滤Top K") qa_ppr_damping: float = Field(default=0.8, description="QA PPR阻尼系数") qa_res_top_k: int = Field(default=10, description="QA结果Top K") embedding_dimension: int = Field(default=1024, description="嵌入维度") class PlanningSystemConfig(ValidatedConfigBase): """规划系统配置 (日程与月度计划)""" # --- 日程生成 (原 ScheduleConfig) --- schedule_enable: bool = Field(True, description="是否启用每日日程生成功能") schedule_guidelines: str = Field("", description="日程生成指导原则") # --- 月度计划 (原 MonthlyPlanSystemConfig) --- monthly_plan_enable: bool = Field(True, description="是否启用月度计划系统") monthly_plan_guidelines: str = Field("", description="月度计划生成指导原则") max_plans_per_month: int = Field(10, description="每月最多生成的计划数量") avoid_repetition_days: int = Field(7, description="避免在多少天内重复使用同一个月度计划") completion_threshold: int = Field(3, description="一个月度计划被使用多少次后算作完成") class DependencyManagementConfig(ValidatedConfigBase): """插件Python依赖管理配置类""" auto_install: bool = Field(default=True, description="启用自动安装") auto_install_timeout: int = Field(default=300, description="自动安装超时时间") use_mirror: bool = Field(default=False, description="使用镜像") mirror_url: str = Field(default="", description="镜像URL") use_proxy: bool = Field(default=False, description="使用代理") proxy_url: str = Field(default="", description="代理URL") pip_options: list[str] = Field( default_factory=lambda: ["--no-warn-script-location", "--disable-pip-version-check"], description="Pip选项" ) prompt_before_install: bool = Field(default=False, description="安装前提示") install_log_level: str = Field(default="INFO", description="安装日志级别") class VideoAnalysisConfig(ValidatedConfigBase): """视频分析配置类""" enable: bool = Field(default=True, description="启用") analysis_mode: str = Field(default="batch_frames", description="分析模式") frame_extraction_mode: str = Field( default="keyframe", description="抽帧模式：keyframe(关键帧), fixed_number(固定数量), time_interval(时间间隔)" ) frame_interval_seconds: float = Field(default=2.0, description="抽帧时间间隔") max_frames: int = Field(default=8, description="最大帧数") frame_quality: int = Field(default=85, description="帧质量") max_image_size: int = Field(default=800, description="最大图像大小") enable_frame_timing: bool = Field(default=True, description="启用帧时间") batch_analysis_prompt: str = Field(default="", description="批量分析提示") # Rust模块相关配置 rust_keyframe_threshold: float = Field(default=2.0, description="关键帧检测阈值") rust_use_simd: bool = Field(default=True, description="启用SIMD优化") rust_block_size: int = Field(default=8192, description="Rust处理块大小") rust_threads: int = Field(default=0, description="Rust线程数，0表示自动检测") ffmpeg_path: str = Field(default="ffmpeg", description="FFmpeg可执行文件路径") class WebSearchConfig(ValidatedConfigBase): """联网搜索组件配置类""" enable_web_search_tool: bool = Field(default=True, description="启用网络搜索工具") enable_url_tool: bool = Field(default=True, description="启用URL工具") tavily_api_keys: list[str] = Field(default_factory=lambda: [], description="Tavily API密钥列表，支持轮询机制") exa_api_keys: list[str] = Field(default_factory=lambda: [], description="exa API密钥列表，支持轮询机制") enabled_engines: list[str] = Field(default_factory=lambda: ["ddg"], description="启用的搜索引擎") search_strategy: Literal["fallback", "single", "parallel"] = Field(default="single", description="搜索策略") class AntiPromptInjectionConfig(ValidatedConfigBase): """LLM反注入系统配置类""" enabled: bool = Field(default=True, description="启用") enabled_LLM: bool = Field(default=True, description="启用LLM") enabled_rules: bool = Field(default=True, description="启用规则") process_mode: str = Field(default="lenient", description="处理模式") whitelist: list[list[str]] = Field(default_factory=list, description="白名单") llm_detection_enabled: bool = Field(default=True, description="启用LLM检测") llm_model_name: str = Field(default="anti_injection", description="LLM模型名称") llm_detection_threshold: float = Field(default=0.7, description="LLM检测阈值") cache_enabled: bool = Field(default=True, description="启用缓存") cache_ttl: int = Field(default=3600, description="缓存TTL") max_message_length: int = Field(default=4096, description="最大消息长度") stats_enabled: bool = Field(default=True, description="启用统计信息") auto_ban_enabled: bool = Field(default=True, description="启用自动禁用") auto_ban_violation_threshold: int = Field(default=3, description="自动禁用违规阈值") auto_ban_duration_hours: int = Field(default=2, description="自动禁用持续时间（小时）") shield_prefix: str = Field(default="🛡️ ", description="保护前缀") shield_suffix: str = Field(default=" 🛡️", description="保护后缀") class SleepSystemConfig(ValidatedConfigBase): """睡眠系统配置类""" enable: bool = Field(default=True, description="是否启用睡眠系统") sleep_by_schedule: bool = Field(default=True, description="是否根据日程表进行睡觉") fixed_sleep_time: str = Field(default="23:00", description="固定的睡觉时间") fixed_wake_up_time: str = Field(default="07:00", description="固定的起床时间") sleep_time_offset_minutes: int = Field( default=15, ge=0, le=60, description="睡觉时间随机偏移量范围（分钟），实际睡觉时间会在±该值范围内随机" ) wake_up_time_offset_minutes: int = Field( default=15, ge=0, le=60, description="起床时间随机偏移量范围（分钟），实际起床时间会在±该值范围内随机" ) wakeup_threshold: float = Field(default=15.0, ge=1.0, description="唤醒阈值，达到此值时会被唤醒") private_message_increment: float = Field(default=3.0, ge=0.1, description="私聊消息增加的唤醒度") group_mention_increment: float = Field(default=2.0, ge=0.1, description="群聊艾特增加的唤醒度") decay_rate: float = Field(default=0.2, ge=0.0, description="每次衰减的唤醒度数值") decay_interval: float = Field(default=30.0, ge=1.0, description="唤醒度衰减间隔(秒)") angry_duration: float = Field(default=300.0, ge=10.0, description="愤怒状态持续时间(秒)") angry_prompt: str = Field(default="你被人吵醒了非常生气，说话带着怒气", description="被吵醒后的愤怒提示词") re_sleep_delay_minutes: int = Field( default=5, ge=1, description="被唤醒后，如果多久没有新消息则尝试重新入睡（分钟）" ) # --- 失眠机制相关参数 --- enable_insomnia_system: bool = Field(default=True, description="是否启用失眠系统") insomnia_trigger_delay_minutes: list[int] = Field( default_factory=lambda: [30, 60], description="入睡后触发失眠判定的延迟时间范围（分钟）" ) insomnia_duration_minutes: list[int] = Field( default_factory=lambda: [15, 45], description="单次失眠状态的持续时间范围（分钟）" ) sleep_pressure_threshold: float = Field(default=30.0, description="触发“压力不足型失眠”的睡眠压力阈值") deep_sleep_threshold: float = Field(default=80.0, description="进入“深度睡眠”的睡眠压力阈值") insomnia_chance_low_pressure: float = Field(default=0.6, ge=0.0, le=1.0, description="压力不足时的失眠基础概率") insomnia_chance_normal_pressure: float = Field(default=0.1, ge=0.0, le=1.0, description="压力正常时的失眠基础概率") sleep_pressure_increment: float = Field(default=1.5, ge=0.0, description="每次AI执行动作后，增加的睡眠压力值") sleep_pressure_decay_rate: float = Field(default=1.5, ge=0.0, description="睡眠时，每分钟衰减的睡眠压力值") # --- 弹性睡眠与睡前消息 --- enable_flexible_sleep: bool = Field(default=True, description="是否启用弹性睡眠") flexible_sleep_pressure_threshold: float = Field( default=40.0, description="触发弹性睡眠的睡眠压力阈值，低于该值可能延迟入睡" ) max_sleep_delay_minutes: int = Field(default=60, description="单日最大延迟入睡分钟数") enable_pre_sleep_notification: bool = Field(default=True, description="是否启用睡前消息") pre_sleep_prompt: str = Field( default="我准备睡觉了，请生成一句简短自然的晚安问候。", description="用于生成睡前消息的提示" ) class ContextGroup(ValidatedConfigBase): """上下文共享组配置""" name: str = Field(..., description="共享组的名称") chat_ids: list[list[str]] = Field( ..., description='属于该组的聊天ID列表，格式为 [["type", "chat_id"], ...]，例如 [["group", "123456"], ["private", "789012"]]', ) class CrossContextConfig(ValidatedConfigBase): """跨群聊上下文共享配置""" enable: bool = Field(default=False, description="是否启用跨群聊上下文共享功能") groups: list[ContextGroup] = Field(default_factory=list, description="上下文共享组列表") class CommandConfig(ValidatedConfigBase): """命令系统配置类""" command_prefixes: list[str] = Field(default_factory=lambda: ["/", "!", ".", "#"], description="支持的命令前缀列表") class PermissionConfig(ValidatedConfigBase): """权限系统配置类""" # Master用户配置（拥有最高权限，无视所有权限节点） master_users: list[list[str]] = Field( default_factory=list, description="Master用户列表，格式: [[platform, user_id], ...]" ) class AffinityFlowConfig(ValidatedConfigBase): """亲和流配置类（兴趣度评分和人物关系系统）""" # 兴趣评分系统参数 reply_action_interest_threshold: float = Field(default=0.4, description="回复动作兴趣阈值") non_reply_action_interest_threshold: float = Field(default=0.2, description="非回复动作兴趣阈值") high_match_interest_threshold: float = Field(default=0.8, description="高匹配兴趣阈值") medium_match_interest_threshold: float = Field(default=0.5, description="中匹配兴趣阈值") low_match_interest_threshold: float = Field(default=0.2, description="低匹配兴趣阈值") high_match_keyword_multiplier: float = Field(default=1.5, description="高匹配关键词兴趣倍率") medium_match_keyword_multiplier: float = Field(default=1.2, description="中匹配关键词兴趣倍率") low_match_keyword_multiplier: float = Field(default=1.0, description="低匹配关键词兴趣倍率") match_count_bonus: float = Field(default=0.1, description="匹配数关键词加成值") max_match_bonus: float = Field(default=0.5, description="最大匹配数加成值") # 回复决策系统参数 no_reply_threshold_adjustment: float = Field(default=0.1, description="不回复兴趣阈值调整值") reply_cooldown_reduction: int = Field(default=2, description="回复后减少的不回复计数") max_no_reply_count: int = Field(default=5, description="最大不回复计数次数") # 综合评分权重 keyword_match_weight: float = Field(default=0.4, description="兴趣关键词匹配度权重") mention_bot_weight: float = Field(default=0.3, description="提及bot分数权重") relationship_weight: float = Field(default=0.3, description="人物关系分数权重") # 提及bot相关参数 mention_bot_adjustment_threshold: float = Field(default=0.3, description="提及bot后的调整阈值") mention_bot_interest_score: float = Field(default=0.6, description="提及bot的兴趣分") base_relationship_score: float = Field(default=0.5, description="基础人物关系分") class ProactiveThinkingConfig(ValidatedConfigBase): """主动思考（主动发起对话）功能配置""" # --- 总开关 --- enable: bool = Field(default=False, description="是否启用主动发起对话功能") # --- 触发时机 --- interval: int = Field(default=1500, description="基础触发间隔（秒），AI会围绕这个时间点主动发起对话") interval_sigma: int = Field( default=120, description="间隔随机化标准差（秒），让触发时间更自然。设为0则为固定间隔。" ) talk_frequency_adjust: list[list[str]] = Field( default_factory=lambda: [["", "8:00,1", "12:00,1.2", "18:00,1.5", "01:00,0.6"]], description='每日活跃度调整，格式：[["", "HH:MM,factor", ...], ["stream_id", ...]]', ) # --- 作用范围 --- enable_in_private: bool = Field(default=True, description="是否允许在私聊中主动发起对话") enable_in_group: bool = Field(default=True, description="是否允许在群聊中主动发起对话") enabled_private_chats: list[str] = Field( default_factory=list, description='私聊白名单，为空则对所有私聊生效。格式: ["platform:user_id", ...]' ) enabled_group_chats: list[str] = Field( default_factory=list, description='群聊白名单，为空则对所有群聊生效。格式: ["platform:group_id", ...]' ) # --- 冷启动配置 (针对私聊) --- enable_cold_start: bool = Field(default=True, description="对于白名单中不活跃的私聊，是否允许进行一次“冷启动”问候") cold_start_cooldown: int = Field( default=86400, description="冷启动后，该私聊的下一次主动思考需要等待的最小时间（秒）" )