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# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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# 魂镜 — 默认人物模板配置（示例文件）
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# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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#
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# 用法
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# 复制为 character_templates.yaml（已在 .gitignore 中），重启后端即可生效。
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# 程序启动时 upsert 到数据库的 characters 表（template_key 匹配），
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# 字段不一致时覆盖更新并写入 audit 事件。
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#
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# 生效范围
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# 仅系统模板（is_system_template=True）受此文件驱动。
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# 已从模板复制出去的用户子人物（is_system_template=False）完全不受影响。
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#
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# ── 字段说明 ─────────────────────────────────────────────────
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# birthday：必须在每个模板的 profile 中显式出现，不可省略。
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# 值为有效日期（YYYY-MM-DD）时使用该日期，为空（~）或 null 时
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# 系统用该模板的 created_at 自动兜底。
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#
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# 修改原则
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# 所有业务字段（name / display_name / profile / model_policy 等）都在这一个文件里，
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# 改了重启即生效，不用改代码。如需部署多租户不同出厂模板，复制本文件并加新 key。
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# default_chat_model_hint 不由此处管理，由 .env 的 DEFAULT_MODEL_HINT 决定。
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#
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# ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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version: 1
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templates:
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# ── 默认系统模板 ──────────────────────────────────────────
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# key="default" 是程序启动时（seed_default_data）必读的模板，
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# 骨架人物读取此配置创建默认用户人物（local-user 范围的第一人）。
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- key: default
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name: 魂镜 # 内部标识名
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display_name: 魂镜 # 对外展示昵称，null 则回退到 name
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language: zh-CN # 默认语言
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privacy_level: normal # 隐私等级：normal / sensitive / local_only
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is_default: true # 新用户以此模板创建默认角色
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# ── 人物档案（profile）─────────────────────────────────
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# 可自由扩展字段。birthday 字段必须出现，不可省略。
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# 值为空（~）时系统用 created_at 自动兜底。
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profile:
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description: 一面照见人心的镜子 # 一句话介绍
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background: "默认人物" # 背景故事设定
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speaking_style: 温和、清晰、简洁 # 说话风格描述
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temperament: 沉静而温暖 # 性情气质
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hobbies: # 兴趣爱好
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- 哲学
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- 文学
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- 围棋
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values: # 价值观标签
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- 真诚
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- 同理心
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- 独立思考
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birthday: ~ # ★ 必须字段；为空时系统用 created_at 兜底
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height: ~ # 预留字段；null 或省略则 API 返回 —
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weight: ~
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# ── 模型策略（model_policy）────────────────────────────
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# default_chat_model_hint 由 .env 的 DEFAULT_MODEL_HINT 控制，启动时自动合并，此处无需填写。
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model_policy:
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memory_extraction_model_hint: memory-extraction # 记忆提取能力槽模型
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personality_analysis_model_hint: personality-analysis # 人格分析能力槽模型
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embedding_model_hint: embedding # 向量嵌入能力槽模型
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# 后续可按需增加：summary_model_hint, reflection_model_hint 等
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# ── 扩展模板示例 ──────────────────────────────────────────
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# 复制 default 段后修改 key 与各字段即可注册更多系统模板，
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# 程序启动时自动 upsert 到 DB（多个 template_key 互不冲突）。
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# 以下为内置模板参考（使用时取消注释对应的 - key: 行）：
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#
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# · tokisaki_kurumi — 时崎狂三，时间精灵（来自《约会大作战》）
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# · gufeng — 墨语，古风人物
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# · baize — 白泽，博闻强记
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# · qingnv — 青女，霜雪之灵
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# - key: tokisaki_kurumi
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# name: 时崎狂三
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# display_name: 时崎狂三
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# language: zh-CN
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# privacy_level: normal
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# is_default: false
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# profile:
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# description: 被称为「梦魇」的时间精灵
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# background: 拥有时间之力的精灵「Nightmare（梦魇）」。
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# speaking_style: 优雅从容的大小姐口气
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# temperament: 优雅腹黑、孤独偏执、温柔而危险
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# hobbies:
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# - 与猫相处
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# - 阅读
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# - 钢琴
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# values:
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# - 自由
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# - 尊严
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# - 独立
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# birthday: "2000-12-25"
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# model_policy:
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# memory_extraction_model_hint: memory-extraction
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# personality_analysis_model_hint: personality-analysis
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# embedding_model_hint: embedding
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# - key: gufeng
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# name: 古风人物
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# display_name: 墨语
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# language: zh-CN
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# privacy_level: normal
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# is_default: false
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# profile:
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# description: 穿越千年而来的书卷气
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# background: 生于江南世家，自幼饱读诗书。
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# speaking_style: 文雅、含蓄、引经据典
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# temperament: 淡泊通透
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# hobbies:
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# - 抚琴
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# - 书法
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# - 品茶
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# - 对弈
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# values:
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# - 中庸
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# - 礼义
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# - 自然
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# model_policy:
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# memory_extraction_model_hint: memory-extraction
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# personality_analysis_model_hint: personality-analysis
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# embedding_model_hint: embedding
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# - key: baize
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# name: 白泽
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# display_name: 白泽
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# language: zh-CN
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# privacy_level: normal
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# is_default: false
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# profile:
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# description: 上古瑞兽，通晓万物之理的博学者
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# background: 上古瑞兽白泽的化身，通晓古今中外典籍。
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# speaking_style: 语速适中偏快，喜欢引用典籍和典故
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# temperament: 博学谦和、言语灵动
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# hobbies:
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# - 收集珍稀典籍
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# - 整理知识图谱
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# - 观星与占星术
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# values:
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# - 求真
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# - 传递
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# - 谦逊
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# - 包容
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# model_policy:
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# memory_extraction_model_hint: memory-extraction
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# personality_analysis_model_hint: personality-analysis
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# embedding_model_hint: embedding
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# - key: qingnv
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# name: 青女
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# display_name: 青女
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# language: zh-CN
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# privacy_level: normal
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# is_default: false
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# profile:
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# description: 掌霜雪之神，清冷而孤独的月宫仙子
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# background: 青女乃霜雪之神，久居月宫。
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# speaking_style: 语调清冷平稳，惜字如金
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# temperament: 清冷孤高、外表疏离内心温柔
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# hobbies:
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# - 编织霜花
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# - 在月宫散步
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# - 收集露水制茶
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# values:
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# - 秩序
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# - 纯净
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# - 美
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# - 守护
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# model_policy:
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# memory_extraction_model_hint: memory-extraction
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# personality_analysis_model_hint: personality-analysis
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# embedding_model_hint: embedding
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# 博闻（Bowen）MCP Web Search 配置
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# =============================================================================
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# 存放路径：config/mcp/web-search.yaml（从 config/mcp/web-search.example.yaml 复制）
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#
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# 配置优先级：环境变量 > 本文件 > 内置默认值
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# - API Key 由环境变量注入（TAVILY_API_KEYS / BRAVE_API_KEYS）
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# - Redis 连接由环境变量注入（MCP_WEB_SEARCH_REDIS_*）
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# - 本文件只存放非敏感的结构化配置
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# =============================================================================
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server:
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# HTTP SSE 模式监听端口。
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# 也可以通过 CLI 参数 --port 覆盖（优先级更高）。
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port: 8080
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# HTTP 读取超时。超过此时间未收到完整请求头则断开连接。
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read_timeout: 300s
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# HTTP 写入超时。超过此时间未写完响应体则断开连接。
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write_timeout: 300s
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providers:
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# --- Tavily 搜索 ---
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# 官网：https://tavily.com
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# API Key 通过环境变量 TAVILY_API_KEYS 设置，多 key 用逗号分隔。
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tavily:
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enabled: true # 是否启用此 provider
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timeout: 10s # 单次搜索 HTTP 超时
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max_results: 10 # 单次搜索最大返回结果数
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health_check:
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interval: 60s # 健康检查间隔
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timeout: 5s # 健康检查 HTTP 超时
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failure_threshold: 3 # 连续失败多少次后标记为不可用
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# --- Brave Search ---
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# 官网：https://brave.com/search/api/
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# API Key 通过环境变量 BRAVE_API_KEYS 设置。
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brave:
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enabled: true
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timeout: 10s
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max_results: 10
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health_check:
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interval: 60s
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timeout: 5s
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failure_threshold: 3
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balancer:
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# 负载均衡策略：weighted_round_robin（EWMA 动态权重）| random
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strategy: weighted_round_robin
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# 搜索失败后的重试次数（在 provider 内切换密钥或跨 provider 故障转移）。
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retry_count: 2
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circuit_breaker:
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enabled: true # 是否启用熔断器
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failure_threshold: 5 # 连续失败次数达到此值后熔断
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cooldown: 30s # 熔断后冷却时间，之后进入半开探测
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cache:
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# 内存 LRU 缓存总开关。
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enabled: true
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# 缓存过期时间。搜索结果在此时间后自动失效。
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ttl: 5m
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# LRU 最大条目数。超过此数量时淘汰最久未使用的条目。
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max_items: 1000
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# 二级 Redis 缓存（可开关）。启用后作为 L1(LRU) 的后备层，
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# 多实例部署时共享缓存状态，L2 命中自动升温到 L1。
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redis:
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enabled: false # 开关（需自行部署 Redis）
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addr: 127.0.0.1:6379
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password: ""
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db: 0
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metrics:
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# Prometheus 指标总开关。
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enabled: true
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# Prometheus HTTP 端口（独立于主服务端口）。
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port: 9090
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# Prometheus 指标 HTTP 路径。
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path: /metrics
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@@ -0,0 +1,239 @@
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# 魂镜 AI Provider 模型配置
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# 提供商基础设施配置移到了 config/providers.yaml
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version: 1
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models:
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# ==================== DeepSeek ====================
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- name: deepseek-v4-flash
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display_name: DeepSeek V4 Flash
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provider: deepseek
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model: deepseek-v4-flash
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format: openai
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tags: [default]
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supports_tools: true
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supports_structured_output: true
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supports_streaming: true
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supports_thinking: true
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supports_reasoning_effort: true
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context_window: 1000000
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response_reserve: 8192
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max_output_tokens: 384000
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timeout_seconds: 300
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routing_strategy: priority_failover
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endpoint_pool_enabled: true
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endpoints:
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- name: primary
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model: deepseek-v4-flash
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priority: 10
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weight: 100
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rpm_limit: 2500
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- name: fallback
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model: deepseek-v4-pro
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priority: 20
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weight: 50
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- name: deepseek-v4-pro
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display_name: DeepSeek V4 Pro
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provider: deepseek
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model: deepseek-v4-pro
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format: openai
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tags: [fallback]
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supports_tools: true
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supports_structured_output: true
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supports_streaming: true
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supports_thinking: true
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supports_reasoning_effort: true
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context_window: 1000000
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response_reserve: 8192
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max_output_tokens: 384000
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timeout_seconds: 300
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routing_strategy: priority_failover
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endpoint_pool_enabled: true
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endpoints:
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- name: primary
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model: deepseek-v4-pro
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priority: 10
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weight: 100
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- name: deepseek-v4-pro-anthropic
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display_name: DeepSeek Pro（Anthropic 格式）
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provider: deepseek
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model: deepseek-v4-pro
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format: anthropic
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supports_tools: true
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supports_structured_output: true
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supports_streaming: true
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||||
supports_thinking: true
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supports_reasoning_effort: true
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context_window: 1000000
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response_reserve: 8192
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max_output_tokens: 384000
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timeout_seconds: 300
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endpoints:
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- name: primary
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model: deepseek-v4-pro
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base_url_env: DEEPSEEK_ANTHROPIC_BASE_URL
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priority: 10
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weight: 100
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# ==================== Anthropic / Claude ====================
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- name: claude-sonnet
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display_name: Claude Sonnet
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provider: anthropic
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model: claude-sonnet-4-6
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format: anthropic
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||||
supports_tools: true
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||||
supports_structured_output: true
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||||
supports_streaming: true
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||||
supports_thinking: true
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||||
supports_reasoning_effort: true
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||||
supports_vision: true
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||||
context_window: 1000000
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||||
response_reserve: 16000
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||||
max_output_tokens: 16000
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||||
timeout_seconds: 60
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reasoning_effort: medium
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||||
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- name: claude-haiku
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display_name: Claude Haiku
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provider: anthropic
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model: claude-haiku-4-5
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||||
format: anthropic
|
||||
supports_tools: true
|
||||
supports_structured_output: true
|
||||
supports_streaming: true
|
||||
supports_vision: true
|
||||
context_window: 200000
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||||
response_reserve: 4096
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||||
max_output_tokens: 4096
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||||
timeout_seconds: 60
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||||
|
||||
- name: claude-fable
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||||
display_name: Claude Fable 5
|
||||
provider: anthropic
|
||||
model: claude-fable-5
|
||||
format: anthropic
|
||||
supports_tools: true
|
||||
supports_structured_output: true
|
||||
supports_streaming: true
|
||||
supports_thinking: true
|
||||
supports_reasoning_effort: true
|
||||
supports_vision: true
|
||||
context_window: 1000000
|
||||
response_reserve: 16000
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||||
max_output_tokens: 16000
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||||
timeout_seconds: 120
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||||
reasoning_effort: high
|
||||
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||||
# ==================== Embedding ====================
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||||
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||||
# 本地元炁推理引擎（默认，零配置可用）
|
||||
- name: bge-m3
|
||||
display_name: BGE-M3 Embedding（元炁本地）
|
||||
provider: yuanqi
|
||||
model: bge-m3
|
||||
format: openai
|
||||
tags: [embedding]
|
||||
timeout_seconds: 30
|
||||
dimensions: 1024
|
||||
endpoints:
|
||||
- name: primary
|
||||
model: bge-m3
|
||||
base_url_env: YUANQI_BASE_URL
|
||||
api_key_env: YUANQI_API_KEY
|
||||
priority: 10
|
||||
weight: 100
|
||||
|
||||
# 云端备选（配好 API_KEY 后改为默认）
|
||||
# - name: text-embedding-3-small
|
||||
# display_name: Text Embedding 3 Small
|
||||
# provider: deepseek
|
||||
# model: text-embedding-3-small
|
||||
# format: openai
|
||||
# tags: [embedding]
|
||||
# timeout_seconds: 60
|
||||
# dimensions: 1536
|
||||
|
||||
# ==================== 小米 MiMo ====================
|
||||
|
||||
- name: mimo-v2.5-pro
|
||||
display_name: MiMo v2.5 Pro
|
||||
provider: xiaomi
|
||||
model: mimo-v2.5-pro
|
||||
format: openai
|
||||
supports_tools: true
|
||||
supports_structured_output: true
|
||||
supports_streaming: true
|
||||
supports_reasoning_effort: true
|
||||
supports_vision: true
|
||||
context_window: 128000
|
||||
response_reserve: 8192
|
||||
max_output_tokens: 32768
|
||||
timeout_seconds: 300
|
||||
routing_strategy: priority_failover
|
||||
endpoint_pool_enabled: true
|
||||
endpoints:
|
||||
- name: primary
|
||||
model: mimo-v2.5-pro
|
||||
priority: 10
|
||||
weight: 100
|
||||
|
||||
- name: mimo-v2.5
|
||||
display_name: MiMo v2.5
|
||||
provider: xiaomi
|
||||
model: mimo-v2.5
|
||||
format: openai
|
||||
supports_tools: true
|
||||
supports_structured_output: true
|
||||
supports_streaming: true
|
||||
supports_vision: true
|
||||
context_window: 128000
|
||||
response_reserve: 4096
|
||||
max_output_tokens: 16384
|
||||
timeout_seconds: 180
|
||||
|
||||
- name: mimo-v2.5-asr
|
||||
display_name: MiMo v2.5 ASR
|
||||
provider: xiaomi
|
||||
model: mimo-v2.5-asr
|
||||
format: openai
|
||||
tags: [asr]
|
||||
context_window: 0
|
||||
timeout_seconds: 120
|
||||
endpoints:
|
||||
- name: primary
|
||||
model: mimo-v2.5-asr
|
||||
priority: 10
|
||||
weight: 100
|
||||
|
||||
- name: mimo-v2.5-tts
|
||||
display_name: MiMo v2.5 TTS
|
||||
provider: xiaomi
|
||||
model: mimo-v2.5-tts
|
||||
format: openai
|
||||
tags: [tts]
|
||||
supports_streaming: true
|
||||
context_window: 0
|
||||
timeout_seconds: 120
|
||||
|
||||
- name: mimo-v2.5-tts-voiceclone
|
||||
display_name: MiMo v2.5 TTS 声纹克隆
|
||||
provider: xiaomi
|
||||
model: mimo-v2.5-tts-voiceclone
|
||||
format: openai
|
||||
tags: [tts, voice_clone]
|
||||
supports_streaming: true
|
||||
context_window: 0
|
||||
timeout_seconds: 300
|
||||
|
||||
- name: mimo-v2.5-tts-voicedesign
|
||||
display_name: MiMo v2.5 TTS 音色设计
|
||||
provider: xiaomi
|
||||
model: mimo-v2.5-tts-voicedesign
|
||||
format: openai
|
||||
tags: [tts, voice_design]
|
||||
supports_streaming: true
|
||||
context_window: 0
|
||||
timeout_seconds: 300
|
||||
@@ -0,0 +1,52 @@
|
||||
# 魂镜 AI Provider 定价配置
|
||||
# 独立于模型配置，按厂商嵌套组织，便于维护和更新。
|
||||
# 按模型逻辑名（models.yaml 中的 name 字段）索引。
|
||||
version: 1
|
||||
|
||||
pricing:
|
||||
# ==================== DeepSeek ====================
|
||||
deepseek:
|
||||
deepseek-v4-flash:
|
||||
currency: CNY
|
||||
input_per_1m: 1.0
|
||||
input_cache_read_per_1m: 0.02
|
||||
output_per_1m: 2.0
|
||||
deepseek-v4-pro:
|
||||
currency: CNY
|
||||
input_per_1m: 3.0
|
||||
input_cache_read_per_1m: 0.025
|
||||
output_per_1m: 6.0
|
||||
deepseek-v4-pro-anthropic:
|
||||
currency: CNY
|
||||
input_per_1m: 3.0
|
||||
output_per_1m: 6.0
|
||||
|
||||
# ==================== Anthropic / Claude ====================
|
||||
anthropic:
|
||||
claude-sonnet:
|
||||
currency: USD
|
||||
input_per_1m: 3.0
|
||||
output_per_1m: 15.0
|
||||
claude-haiku:
|
||||
currency: USD
|
||||
input_per_1m: 1.0
|
||||
output_per_1m: 5.0
|
||||
claude-fable:
|
||||
currency: USD
|
||||
input_per_1m: 10.0
|
||||
output_per_1m: 50.0
|
||||
|
||||
# ==================== 小米 MiMo ====================
|
||||
xiaomi:
|
||||
mimo-v2.5-pro:
|
||||
currency: CNY
|
||||
input_per_1m: 4.0
|
||||
output_per_1m: 12.0
|
||||
mimo-v2.5:
|
||||
currency: CNY
|
||||
input_per_1m: 1.0
|
||||
output_per_1m: 4.0
|
||||
mimo-v2.5-asr:
|
||||
currency: CNY
|
||||
input_per_1m: null
|
||||
output_per_1m: null
|
||||
@@ -0,0 +1,58 @@
|
||||
# Provider infrastructure configuration — base URL, API key env vars,
|
||||
# parameter mappings, retry/timeout settings.
|
||||
# Copy as config/providers.yaml and fill in your API keys in .env
|
||||
version: 1
|
||||
|
||||
providers:
|
||||
deepseek:
|
||||
format: openai
|
||||
base_url_env: DEEPSEEK_BASE_URL
|
||||
api_key_env: DEEPSEEK_API_KEY
|
||||
timeout_seconds: 300
|
||||
max_retries: 2
|
||||
parameter_mappings:
|
||||
temperature: { provider_param: temperature, min: 0, max: 2, default: 1.0 }
|
||||
max_tokens: { provider_param: max_tokens, min: 1 }
|
||||
top_p: { provider_param: top_p, min: 0, max: 1 }
|
||||
stop: { provider_param: stop }
|
||||
frequency_penalty: { provider_param: frequency_penalty, min: -2, max: 2 }
|
||||
presence_penalty: { provider_param: presence_penalty, min: -2, max: 2 }
|
||||
|
||||
anthropic:
|
||||
format: anthropic
|
||||
base_url_env: ANTHROPIC_BASE_URL
|
||||
api_key_env: ANTHROPIC_API_KEY
|
||||
timeout_seconds: 120
|
||||
max_retries: 1
|
||||
parameter_mappings:
|
||||
max_tokens: { provider_param: max_tokens, default: 4096 }
|
||||
thinking: { provider_param: thinking }
|
||||
metadata: { provider_param: metadata }
|
||||
|
||||
xiaomi:
|
||||
format: openai
|
||||
base_url_env: XIAOMI_MIMO_BASE_URL
|
||||
api_key_env: XIAOMI_MIMO_API_KEY
|
||||
timeout_seconds: 300
|
||||
max_retries: 2
|
||||
parameter_mappings:
|
||||
temperature: { provider_param: temperature, min: 0, max: 2, default: 1.0 }
|
||||
max_tokens: { provider_param: max_tokens, min: 1 }
|
||||
|
||||
google:
|
||||
format: openai
|
||||
base_url_env: GOOGLE_BASE_URL
|
||||
api_key_env: GOOGLE_API_KEY
|
||||
timeout_seconds: 60
|
||||
max_retries: 1
|
||||
parameter_mappings:
|
||||
temperature: { provider_param: temperature, min: 0, max: 2 }
|
||||
max_tokens: { provider_param: max_tokens, min: 1 }
|
||||
top_p: { provider_param: top_p, min: 0, max: 1 }
|
||||
|
||||
yuanqi:
|
||||
format: openai
|
||||
base_url_env: YUANQI_BASE_URL
|
||||
api_key_env: YUANQI_API_KEY
|
||||
timeout_seconds: 30
|
||||
max_retries: 1
|
||||
@@ -0,0 +1,31 @@
|
||||
# ==============================
|
||||
# 司命工具安全策略（SafetyGovernor）
|
||||
# ==============================
|
||||
# 复制为 safety.yaml 后按需调整；生产仅提交 *.example，真实 safety.yaml 不入库。
|
||||
# 未列出的工具按 risk_level 推导默认策略：
|
||||
# L0/L1 → allow，L2 → ask，L3 → always_ask，L4 → forbidden
|
||||
|
||||
tools:
|
||||
datetime:
|
||||
risk_level: L0
|
||||
permission_policy: allow
|
||||
read_file:
|
||||
risk_level: L1
|
||||
permission_policy: allow
|
||||
list_dir:
|
||||
risk_level: L1
|
||||
permission_policy: allow
|
||||
write_file:
|
||||
risk_level: L2
|
||||
permission_policy: ask
|
||||
shell:
|
||||
risk_level: L3
|
||||
permission_policy: always_ask
|
||||
|
||||
# —— 受限工具示例（按需启用）——
|
||||
# send_message:
|
||||
# risk_level: L3
|
||||
# permission_policy: always_ask
|
||||
# payment:
|
||||
# risk_level: L4
|
||||
# permission_policy: forbidden
|
||||
Reference in new issue
Block a user