config.default.yaml

# coding-proxy 默认配置（模板）
# 复制到 ./config.yaml（项目根目录）或 ~/.coding-proxy/config.yaml 并修改自定义设置
# 优先级：./config.yaml > ~/.coding-proxy/config.yaml

server:
  host: "127.0.0.1"
  port: 3392

logging:
  level: "INFO"
  # file: "coding-proxy.log"          # 文件日志路径；设为 null 或空字符串禁用
  # max_bytes: 5242880                # 单文件上限（5 MB），触发轮转
  # backup_count: 5                   # 保留 gzip 压缩备份文件数

# === 降级链路优先级（可选） ===
#
# 显式指定故障转移时的供应商尝试顺序。
# 未配置时回退到 vendors 列表的原始顺序。
#
# 引用的 vendor 名称必须在上方 vendors 中定义且 enabled=true。
# 可用于在不改变 vendors 定义顺序的情况下灵活调整降级策略。
#
# 示例 1：完整四层降级链路（默认行为等效）
#   tiers: ["anthropic", "copilot", "antigravity", "zhipu"]
#
# 示例 2：跳过中间层，仅保留首尾两级
#   tiers: ["anthropic", "zhipu"]
#
# 示例 3：将 zhipu 提升为首选，anthropic 作为后备
#   tiers: ["zhipu", "anthropic"]

tiers: ["zhipu", "anthropic", "copilot", "antigravity"]

# === 供应商定义（vendors 列表） ===
#
# 每个 vendor 通过 vendor 字段指定供应商类型：
#   anthropic | zhipu | minimax | alibaba | xiaomi | kimi | doubao | copilot | antigravity
#
# 优先级规则：
#   - 若配置了 tiers，以其指定的顺序为准
#   - 否则 vendors 列表顺序即优先级（index 越小越优先）
#   - 无 circuit_breaker 的 vendor 自动成为终端层（不再向下故障转移）

vendors:
  # Vendor 0: Claude Plans（最高优先级）
  - vendor: anthropic
    base_url: "https://api.anthropic.com"
    timeout_ms: 300000
    circuit_breaker:
      failure_threshold: 3
      recovery_timeout_seconds: 300
      success_threshold: 2
    quota_guard:
      enabled: false
      token_budget: 65000000 # 5 小时 token 预算（根据订阅计划调整）
      window_hours: 5.0
      threshold_percent: 99.0
      probe_interval_seconds: 300
    weekly_quota_guard:
      enabled: false
      token_budget: 800000000 # 一周 token 预算（根据订阅计划调整）
      window_hours: 168.0 # 7 天滑动窗口
      threshold_percent: 99.0
      probe_interval_seconds: 1800 # 每 30 分钟探测一次

  # Vendor 1: GitHub Copilot Plans（中间层，默认禁用）
  - vendor: copilot
    enabled: true # 启用需 OAuth 登录或手动配置 github_token
    github_token: "${GITHUB_TOKEN}" # GitHub token（可选，运行 coding-proxy auth login 自动获取）
    account_type: "individual" # individual / business / enterprise
    token_url: "https://api.github.com/copilot_internal/v2/token"
    base_url: "" # 留空时按 account_type 自动解析；仅在特殊网络环境下显式覆盖
    timeout_ms: 300000
    circuit_breaker:
      failure_threshold: 3
      recovery_timeout_seconds: 300
      success_threshold: 2
    quota_guard:
      enabled: true
      token_budget: 0
      window_hours: 24.0
      threshold_percent: 95.0
      probe_interval_seconds: 300

  # Vendor 2: Google Antigravity Plans（中间层，默认禁用）
  - vendor: antigravity
    enabled: false # 启用需配置 OAuth 凭据
    client_id: "${GOOG_CLIENT_ID}" # Google OAuth2 Client ID
    client_secret: "${GOOG_CLIENT_SECRET}" # Google OAuth2 Client Secret
    refresh_token: "${GOOG_REFRESH_TOKEN}" # Google OAuth2 Refresh Token
    base_url: "https://generativelanguage.googleapis.com/v1beta"
    model_endpoint: "models/claude-sonnet-4-20250514"
    timeout_ms: 300000
    circuit_breaker:
      failure_threshold: 3
      recovery_timeout_seconds: 300
      success_threshold: 2
    quota_guard:
      enabled: false # 启用后按 Premium Requests 配额管理
      token_budget: 0
      window_hours: 24.0
      threshold_percent: 95.0
      probe_interval_seconds: 300

  # Vendor 3: 智谱 GLM（终端兜底，无 circuit_breaker）
  - vendor: zhipu
    enabled: true
    base_url: "https://open.bigmodel.cn/api/anthropic"
    api_key: "${ZHIPU_API_KEY}"
    timeout_ms: 3000000
    # 不配置 circuit_breaker → 自动成为终端层，不触发向下故障转移
    circuit_breaker:
      failure_threshold: 3
      recovery_timeout_seconds: 30
      success_threshold: 2
    quota_guard:
      enabled: true # 启用后按 Premium Requests 配额管理
      token_budget: 1000000000 # 一天 token 预算（根据订阅计划调整）
      window_hours: 24.0
      threshold_percent: 95.0
      probe_interval_seconds: 300

  # Vendor 4: MiniMax（默认禁用，需手动启用并添加到 tiers）
  - vendor: minimax
    enabled: false
    base_url: "https://api.minimaxi.com/anthropic"
    api_key: "${MINIMAX_API_KEY}"
    timeout_ms: 3000000
    circuit_breaker:
      failure_threshold: 3
      recovery_timeout_seconds: 300
      success_threshold: 2
    quota_guard:
      enabled: false
      token_budget: 1000000000
      window_hours: 24.0
      threshold_percent: 95.0
      probe_interval_seconds: 300

  # Vendor 5: 阿里 Qwen（默认禁用）
  - vendor: alibaba
    enabled: false
    base_url: "https://coding-intl.dashscope.aliyuncs.com/apps/anthropic"
    api_key: "${ALIBABA_API_KEY}"
    timeout_ms: 3000000
    circuit_breaker:
      failure_threshold: 3
      recovery_timeout_seconds: 300
      success_threshold: 2
    quota_guard:
      enabled: false
      token_budget: 1000000000
      window_hours: 24.0
      threshold_percent: 95.0
      probe_interval_seconds: 300

  # Vendor 6: 小米 MiMo（默认禁用）
  - vendor: xiaomi
    enabled: false
    base_url: "https://token-plan-cn.xiaomimimo.com/anthropic"
    api_key: "${XIAOMI_API_KEY}"
    timeout_ms: 3000000
    circuit_breaker:
      failure_threshold: 3
      recovery_timeout_seconds: 300
      success_threshold: 2
    quota_guard:
      enabled: false
      token_budget: 1000000000
      window_hours: 24.0
      threshold_percent: 95.0
      probe_interval_seconds: 300

  # Vendor 7: Kimi（默认禁用）
  - vendor: kimi
    enabled: false
    base_url: "https://api.kimi.com/coding/"
    api_key: "${KIMI_API_KEY}"
    timeout_ms: 3000000
    circuit_breaker:
      failure_threshold: 3
      recovery_timeout_seconds: 300
      success_threshold: 2
    quota_guard:
      enabled: false
      token_budget: 1000000000
      window_hours: 24.0
      threshold_percent: 95.0
      probe_interval_seconds: 300

  # Vendor 8: 豆包 Doubao（默认禁用）
  - vendor: doubao
    enabled: false
    base_url: "https://ark.cn-beijing.volces.com/api/coding"
    api_key: "${ARK_API_KEY}"
    timeout_ms: 3000000
    circuit_breaker:
      failure_threshold: 3
      recovery_timeout_seconds: 300
      success_threshold: 2
    quota_guard:
      enabled: false
      token_budget: 1000000000
      window_hours: 24.0
      threshold_percent: 95.0
      probe_interval_seconds: 300

# === 故障转移触发条件 ===
failover:
  status_codes: [429, 403, 503, 500, 529]
  error_types:
    - "rate_limit_error"
    - "overloaded_error"
    - "api_error"
  error_message_patterns:
    - "quota"
    - "usage cap"
    - "internal network failure"

# === 模型映射 ===
model_mapping:
  # GitHub Copilot 可用模型（通过 /api/copilot/models 诊断获取）
  - pattern: "claude-sonnet-.*"
    vendors: ["copilot"]
    target: "claude-sonnet-4.6"
    is_regex: true
  - pattern: "claude-opus-.*"
    vendors: ["copilot"]
    target: "claude-opus-4.6"
    is_regex: true
  - pattern: "claude-haiku-.*"
    vendors: ["copilot"]
    target: "claude-haiku-4.5"
    is_regex: true
  # Google Antigravity 模型映射
  - pattern: "claude-sonnet-.*"
    vendors: ["antigravity"]
    target: "Claude Sonnet 4.6"
    is_regex: true
  - pattern: "claude-opus-.*"
    vendors: ["antigravity"]
    target: "Claude Opus 4.6 Thinking"
    is_regex: true
  - pattern: "claude-haiku-.*"
    vendors: ["antigravity"]
    target: "Gemini 3 Flash"
    is_regex: true
  # 智谱 GLM 映射（官方原生 Anthropic 兼容端点）
  # glm-5v-turbo 完整承载 Claude Code 满血能力（tool calling / thinking / 多模态）
  - pattern: "claude-sonnet-.*"
    vendors: ["zhipu"]
    target: "glm-5v-turbo"
    is_regex: true
  - pattern: "claude-opus-.*"
    vendors: ["zhipu"]
    target: "glm-5.1"
    is_regex: true
  - pattern: "claude-haiku-.*"
    vendors: ["zhipu"]
    target: "glm-4.5-air"
    is_regex: true
  # MiniMax 模型映射（原生 Anthropic 兼容端点）
  - pattern: "claude-sonnet-.*"
    vendors: ["minimax"]
    target: "minimax-m2.7"
    is_regex: true
  - pattern: "claude-opus-.*"
    vendors: ["minimax"]
    target: "minimax-m2.7"
    is_regex: true
  - pattern: "claude-haiku-.*"
    vendors: ["minimax"]
    target: "minimax-m2.7"
    is_regex: true
  # 阿里 Qwen 模型映射（原生 Anthropic 兼容端点）
  - pattern: "claude-sonnet-.*"
    vendors: ["alibaba"]
    target: "qwen3.6-plus"
    is_regex: true
  - pattern: "claude-opus-.*"
    vendors: ["alibaba"]
    target: "qwen3.6-plus"
    is_regex: true
  - pattern: "claude-haiku-.*"
    vendors: ["alibaba"]
    target: "qwen3.6-plus"
    is_regex: true
  # 小米 MiMo 模型映射（原生 Anthropic 兼容端点）
  - pattern: "claude-sonnet-.*"
    vendors: ["xiaomi"]
    target: "mimo-v2-pro"
    is_regex: true
  - pattern: "claude-opus-.*"
    vendors: ["xiaomi"]
    target: "mimo-v2-pro"
    is_regex: true
  - pattern: "claude-haiku-.*"
    vendors: ["xiaomi"]
    target: "mimo-v2-pro"
    is_regex: true
  # Kimi 模型映射（原生 Anthropic 兼容端点）
  - pattern: "claude-sonnet-.*"
    vendors: ["kimi"]
    target: "kimi-k2.5"
    is_regex: true
  - pattern: "claude-opus-.*"
    vendors: ["kimi"]
    target: "kimi-k2.5"
    is_regex: true
  - pattern: "claude-haiku-.*"
    vendors: ["kimi"]
    target: "kimi-k2.5"
    is_regex: true
  # 豆包 Doubao 模型映射（三个不同模型对应不同 Claude 模型槽位）
  - pattern: "claude-opus-.*"
    vendors: ["doubao"]
    target: "doubao-seed-2.0-code"
    is_regex: true
  - pattern: "claude-sonnet-.*"
    vendors: ["doubao"]
    target: "doubao-seed-2.0-pro"
    is_regex: true
  - pattern: "claude-haiku-.*"
    vendors: ["doubao"]
    target: "doubao-seed-2.0-lite"
    is_regex: true

# === 模型定价（USD / 1M tokens） ===
# vendor: 供应商名称（对应 `usage` 统计表中的"供应商"列）
# model:  实际模型名（对应 `usage` 统计表中的"实际模型"列）
# 未配置定价的模型在统计中 Cost 列显示 "-"
pricing:
  # ── Anthropic Claude ──
  - vendor: anthropic
    model: claude-opus-4-7
    input_cost_per_mtok: $5.0
    output_cost_per_mtok: $25.0
    cache_write_cost_per_mtok: $6.25
    cache_read_cost_per_mtok: $0.50
  - vendor: anthropic
    model: claude-opus-4-6
    input_cost_per_mtok: $5.0
    output_cost_per_mtok: $25.0
    cache_write_cost_per_mtok: $6.25
    cache_read_cost_per_mtok: $0.50
  - vendor: anthropic
    model: claude-sonnet-4-6
    input_cost_per_mtok: $3.0
    output_cost_per_mtok: $15.0
    cache_write_cost_per_mtok: $3.75
    cache_read_cost_per_mtok: $0.30
  - vendor: anthropic
    model: claude-haiku-4-5-20251001
    input_cost_per_mtok: $1
    output_cost_per_mtok: $5
    cache_write_cost_per_mtok: $1.25
    cache_read_cost_per_mtok: $0.10
  # ── GitHub Copilot（透传 Claude，参照 Anthropic 定价估算） ──
  - vendor: copilot
    model: claude-opus-4.6
    input_cost_per_mtok: $5.0
    output_cost_per_mtok: $25.0
    cache_write_cost_per_mtok: $6.25
    cache_read_cost_per_mtok: $0.50
  - vendor: copilot
    model: Claude Opus 4.6
    input_cost_per_mtok: $5.0
    output_cost_per_mtok: $25.0
    cache_write_cost_per_mtok: $6.25
    cache_read_cost_per_mtok: $0.50
  - vendor: copilot
    model: Claude Sonnet 4.6
    input_cost_per_mtok: $3.0
    output_cost_per_mtok: $15.0
    cache_write_cost_per_mtok: $3.75
    cache_read_cost_per_mtok: $0.30
  - vendor: copilot
    model: claude-sonnet-4.6
    input_cost_per_mtok: $3.0
    output_cost_per_mtok: $15.0
    cache_write_cost_per_mtok: $3.75
    cache_read_cost_per_mtok: $0.30
  - vendor: copilot
    model: claude-haiku-4.5
    input_cost_per_mtok: $1
    output_cost_per_mtok: $5
    cache_write_cost_per_mtok: $1.25
    cache_read_cost_per_mtok: $0.10
  - vendor: copilot
    model: claude-haiku-4-5-20251001
    input_cost_per_mtok: $1
    output_cost_per_mtok: $5
    cache_write_cost_per_mtok: $1.25
    cache_read_cost_per_mtok: $0.10
  - vendor: copilot
    model: Claude Haiku 4.5
    input_cost_per_mtok: $1
    output_cost_per_mtok: $5
    cache_write_cost_per_mtok: $1.25
    cache_read_cost_per_mtok: $0.10
  # -- OpenAI --
  - vendor: openai
    model: gpt-5.4-pro
    input_cost_per_mtok: $30.00
    output_cost_per_mtok: $180.00
    cache_read_cost_per_mtok: $3.00
  - vendor: openai
    model: gpt-5.4-2026-03-05
    input_cost_per_mtok: $2.50
    output_cost_per_mtok: $15.00
    cache_read_cost_per_mtok: $0.25
  - vendor: openai
    model: gpt-5.4-mini-2026-03-17
    input_cost_per_mtok: $0.75
    output_cost_per_mtok: $4.50
    cache_read_cost_per_mtok: $0.07
  - vendor: openai
    model: gpt-5.4-nano
    input_cost_per_mtok: $0.20
    output_cost_per_mtok: $1.25
    cache_read_cost_per_mtok: $0.02
  - vendor: openai
    model: gpt-5-mini-2025-08-07
    input_cost_per_mtok: $0.25
    output_cost_per_mtok: $2.00
    cache_read_cost_per_mtok: $0.02
  - vendor: openai
    model: gpt-5-nano-2025-08-07
    input_cost_per_mtok: $0.05
    output_cost_per_mtok: $0.40
    cache_read_cost_per_mtok: $0.01
  - vendor: openai
    model: text-embedding-3-large
    input_cost_per_mtok: $0.13
  - vendor: openai
    model: text-embedding-3-small
    input_cost_per_mtok: $0.02
  - vendor: openai
    model: text-embedding-ada-002
    input_cost_per_mtok: $0.10
  # -- Anthropic Native --
  - vendor: anthropic-native
    model: claude-opus-4-7
    input_cost_per_mtok: $5.0
    output_cost_per_mtok: $25.0
    cache_write_cost_per_mtok: $6.25
    cache_read_cost_per_mtok: $0.50
  - vendor: anthropic-native
    model: claude-opus-4-6
    input_cost_per_mtok: $5.0
    output_cost_per_mtok: $25.0
    cache_write_cost_per_mtok: $6.25
    cache_read_cost_per_mtok: $0.50
  - vendor: anthropic-native
    model: claude-sonnet-4-6
    input_cost_per_mtok: $3.0
    output_cost_per_mtok: $15.0
    cache_write_cost_per_mtok: $3.75
    cache_read_cost_per_mtok: $0.30
  - vendor: anthropic-native
    model: claude-haiku-4-5-20251001
    input_cost_per_mtok: $1
    output_cost_per_mtok: $5
    cache_write_cost_per_mtok: $1.25
    cache_read_cost_per_mtok: $0.10
  # -- Gemini --
  - vendor: gemini
    model: gemini-3.1-pro-preview
    input_cost_per_mtok: $2.00
    output_cost_per_mtok: $12.00
    cache_read_cost_per_mtok: $0.20
  - vendor: gemini
    model: gemini-3-flash-preview
    input_cost_per_mtok: $0.50
    output_cost_per_mtok: $3.00
    cache_read_cost_per_mtok: $0.03
  - vendor: gemini
    model: gemini-2.5-flash
    input_cost_per_mtok: $0.30
    output_cost_per_mtok: $2.50
    cache_read_cost_per_mtok: $0.03
  - vendor: gemini
    model: gemini-embedding-001
    input_cost_per_mtok: $0.15
  - vendor: gemini
    model: text-embedding-004
    input_cost_per_mtok: $0.10
  - vendor: gemini
    model: text-embedding-005
    input_cost_per_mtok: $0.10
  # ── Google Antigravity（参照 Anthropic 定价估算） ──
  - vendor: antigravity
    model: claude-opus-4-6-thinking
    input_cost_per_mtok: $5.0
    output_cost_per_mtok: $25.0
    cache_write_cost_per_mtok: $6.25
    cache_read_cost_per_mtok: $0.50
  - vendor: antigravity
    model: claude-sonnet-4-6-thinking
    input_cost_per_mtok: $3.0
    output_cost_per_mtok: $15.0
    cache_write_cost_per_mtok: $3.75
    cache_read_cost_per_mtok: $0.30
  - vendor: antigravity
    model: gemini-3.1-pro
    input_cost_per_mtok: $2.0
    output_cost_per_mtok: $12.0
    cache_read_cost_per_mtok: $0.20
  - vendor: antigravity
    model: gemini-3-flash
    input_cost_per_mtok: $0.50
    output_cost_per_mtok: $3.00
    cache_read_cost_per_mtok: $0.05
  # ── 智谱 GLM ──
  - vendor: zhipu
    model: glm-4.5-air # 待区分长短上下文定价
    input_cost_per_mtok: ¥0.80
    output_cost_per_mtok: ¥2.00
    cache_read_cost_per_mtok: ¥0.16
  - vendor: zhipu
    model: glm-4.7 # 待区分长短上下文定价
    input_cost_per_mtok: ¥2.00
    output_cost_per_mtok: ¥8.00
    cache_read_cost_per_mtok: ¥0.40
  - vendor: zhipu
    model: glm-5v-turbo # 待区分长短上下文定价
    input_cost_per_mtok: ¥5.00
    output_cost_per_mtok: ¥22.00
    cache_read_cost_per_mtok: ¥1.20
  - vendor: zhipu
    model: glm-5.1 # 待区分长短上下文定价
    input_cost_per_mtok: ¥6.00
    output_cost_per_mtok: ¥24.00
    cache_read_cost_per_mtok: ¥1.30
  - vendor: zhipu
    model: glm-5-turbo # 待区分长短上下文定价
    input_cost_per_mtok: ¥5.00
    output_cost_per_mtok: ¥22.00
    cache_read_cost_per_mtok: ¥1.20
  - vendor: zhipu
    model: glm-5 # 待区分长短上下文定价
    input_cost_per_mtok: ¥4.00
    output_cost_per_mtok: ¥18.00
    cache_read_cost_per_mtok: ¥1.00
  # ── MiniMax ──
  - vendor: minimax
    model: minimax-m2.7
    input_cost_per_mtok: ¥2.10
    output_cost_per_mtok: ¥8.40
    cache_write_cost_per_mtok: ¥2.625
    cache_read_cost_per_mtok: ¥0.42
  - vendor: minimax
    model: minimax-m2.5
    input_cost_per_mtok: ¥2.10
    output_cost_per_mtok: ¥8.40
    cache_write_cost_per_mtok: ¥2.625
    cache_read_cost_per_mtok: ¥0.21
  # ── 阿里 Qwen ──
  - vendor: alibaba
    model: qwen3.6-plus
    input_cost_per_mtok: $0.276
    output_cost_per_mtok: $1.651
  # ── 小米 MiMo ──
  - vendor: xiaomi
    model: mimo-v2-pro
    input_cost_per_mtok: ¥7.00
    output_cost_per_mtok: ¥21.00
    cache_read_cost_per_mtok: ¥1.40
  - vendor: xiaomi
    model: mimo-v2-omni
    input_cost_per_mtok: ¥2.80
    output_cost_per_mtok: ¥14.00
    cache_read_cost_per_mtok: ¥0.56
  - vendor: xiaomi
    model: mimo-v2-flash
    input_cost_per_mtok: ¥0.70
    output_cost_per_mtok: ¥2.10
    cache_read_cost_per_mtok: ¥0.07
  # ── Kimi ──
  - vendor: kimi
    model: kimi-k2.5
    input_cost_per_mtok: $0.60
    output_cost_per_mtok: $3.00
  # ── 豆包 Doubao ──
  - vendor: doubao
    model: doubao-seed-2.0-code
    input_cost_per_mtok: ¥3.20
    output_cost_per_mtok: ¥16.00
    cache_write_cost_per_mtok: ¥0.64
    cache_read_cost_per_mtok: ¥0.017
  - vendor: doubao
    model: doubao-seed-2.0-pro
    input_cost_per_mtok: ¥3.20
    output_cost_per_mtok: ¥16.00
    cache_write_cost_per_mtok: ¥0.64
    cache_read_cost_per_mtok: ¥0.017
  - vendor: doubao
    model: doubao-seed-2.0-lite
    input_cost_per_mtok: ¥0.60
    output_cost_per_mtok: ¥3.60
    cache_write_cost_per_mtok: ¥0.12
    cache_read_cost_per_mtok: ¥0.017

database:
  path: "~/.coding-proxy/usage.db"

# === OAuth 登录配置 ===
auth:
  # GitHub Device Flow client_id（默认使用 Copilot VS Code 扩展公开 ID）
  # github_client_id: "Iv1.b507a08c87ecfe98"
  # Google OAuth 凭据（默认使用 Antigravity Enterprise 公开凭据，无需手动配置）
  # google_client_id: ""
  # google_client_secret: ""
  token_store_path: "~/.coding-proxy/tokens.json"

# === 原生 API 透传（/api/{openai,gemini,anthropic}/**）===
#
# 三家 provider 默认 enabled=true（开箱即用）。
# 客户端将 SDK base_url 改为 http://127.0.0.1:3392/api/{openai,gemini,anthropic}
# 即可直接触达官方上游；认证（Authorization / x-api-key / ?key=）由客户端自带，
# proxy 不保管凭据。
#
# 将 base_url 指向第三方代理的两种方式（优先级：env > yaml > 内置默认）：
#   方式 A（推荐部署/容器场景）：设置环境变量
#     NATIVE_OPENAI_BASE_URL     / NATIVE_GEMINI_BASE_URL     / NATIVE_ANTHROPIC_BASE_URL
#   方式 B（推荐本地开发/团队共享）：直接编辑下方 base_url 字段
#
# 如需禁用某家 provider，将对应 enabled 改为 false 即可。
# base_url 字段的值与 Pydantic 内置默认保持一致（由 tests/test_native_api_base_url_override.py
# 的 test_default_config_yaml_matches_pydantic_builtin 守护双写同步）。
native_api:
  openai:
    enabled: true
    base_url: "https://api.openai.com"
    timeout_ms: 300000
    connect_timeout_ms: 15000
  gemini:
    enabled: true
    base_url: "https://generativelanguage.googleapis.com"
    timeout_ms: 300000
    connect_timeout_ms: 15000
  anthropic:
    enabled: true
    base_url: "https://api.anthropic.com"
    timeout_ms: 300000
    connect_timeout_ms: 15000

# === Session 级别路由策略（可选）===
#
# 为特定 Session 或客户端类别定制 vendor 优先级顺序。
# 匹配策略按定义顺序求值，首次匹配生效。
#
# 支持的匹配条件（OR 语义，满足任一即匹配）：
#   session_keys:    精确匹配的 session key 列表
#   client_category: 按客户端类别匹配（⚠️ 预留字段，当前版本暂未生效，后续版本支持）
#
# tiers: 覆盖全局 tier 顺序的供应商优先级列表（未提及的 vendor 保持在末尾）
#
# 示例 1：为特定 session 绑定专属 vendor 组合
#   session_policies:
#     - name: "vip-session"
#       match:
#         session_keys: ["my-specific-session-id"]
#       tiers: ["anthropic", "copilot", "zhipu"]
#
# 示例 2：Claude Code 请求优先走 Copilot
#   session_policies:
#     - name: "claude-code-preferred"
#       match:
#         client_category: "cc"
#       tiers: ["copilot", "anthropic", "zhipu"]
#
# 未配置时（默认），所有 Session 使用全局 tiers 顺序。
session_policies: []