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universal LLM API transformation server","contributors":[{"url":"https://github.com/musistudio","name":"musistudio"}],"maintainers":[{"name":"xiaoliu-jason","email":"18721825717@163.com"}],"readme":"![](blog/images/claude-code-router-img.png)\n\n**[🇨🇳 中文文档](README.md)**  |  **[🇬🇧 English](README_en.md)**  |  [![npm version](https://badge.fury.io/js/@wengine-ai_claude-code-router-next.svg)](https://www.npmjs.com/package/@wengine-ai/claude-code-router-next)\n\n> **说明**：本项目 fork 自 [claude-code-router](https://github.com/musistudio/claude-code-router)（2026-05 建仓，当时上游自 2026-01-04 起已 4 个月未发版、自 2026-03-04 起无提交；上游其后已恢复活跃）。本项目持续维护自己的发布线，并在其基础上开发按项目路由、多客户端接管、ZCode 支持等特性。\n\n<hr>\n\n> [从CLI工具风格看工具渐进式披露](/blog/zh/从CLI工具风格看工具渐进式披露.md)\n\n> 一款强大的工具，可将 Claude Code 和 Codex 请求路由到不同的模型，并自定义任何请求。 \n\n![](blog/images/claude-code.png)\n\n\n## ✨ 功能\n\n-   **模型路由**: 根据您的需求将请求路由到不同的模型（例如，后台任务、思考、长上下文）。\n-   **多提供商支持**: 支持 OpenRouter、DeepSeek、Ollama、Gemini、Volcengine 和 SiliconFlow 等各种模型提供商。\n-   **Codex CLI 支持**: 通过 Responses API 协议转换，支持 Codex CLI 接入任意 LLM 提供商（Anthropic、DeepSeek、GLM 等），实现工具调用、文件修改等完整功能。\n-   **请求/响应转换**: 使用转换器为不同的提供商自定义请求和响应。\n-   **动态模型切换**: 在 Claude Code 中使用 `/model` 命令动态切换模型。\n-   **GitHub Actions 集成**: 在您的 GitHub 工作流程中触发 Claude Code 任务。\n-   **用量统计与限额监控**: 追踪请求的 Token 数、缓存命中率、首 Token 延迟 (TTFT) 和生成速度，并实时展示主流服务商（如智谱、Qwen 等）的限额使用情况。\n-   **插件系统**: 使用自定义转换器扩展功能。\n\n## 🚀 快速入门\n\n### 1. 安装\n\n您可以从 npm 官方仓库安装 Claude Code Router，或者直接从本 GitHub 仓库安装以获取最新的开发版本。\n\n#### 选项 A：从 npm 官方仓库安装（稳定版）\n\n首先，请确保您已安装 [Claude Code](https://docs.anthropic.com/en/docs/claude-code/quickstart)：\n\n```shell\nnpm install -g @anthropic-ai/claude-code\n```\n\n然后，安装 Claude Code Router：\n\n```shell\nnpm install -g @wengine-ai/claude-code-router-next\n```\n\n#### 选项 B：从 GitHub 安装（最新开发版）\n\n如果您想直接使用源码中的最新功能和修复：\n\n1. **先卸载已安装的全局版本**（以避免指令冲突）：\n   ```shell\n   npm uninstall -g @wengine-ai/claude-code-router-next @musistudio/claude-code-router @wengine-ai/claude-code-router\n   ```\n\n2. **克隆本仓库并在本地进行 Link**（推荐开发者使用）：\n   ```shell\n   git clone https://github.com/xiaoliu10/claude-code-router-next.git\n   cd claude-code-router-next\n   pnpm install\n   pnpm build\n   npm link\n   ```\n\n   *或者直接从 GitHub 进行全局安装：*\n   ```shell\n   npm install -g github:xiaoliu10/claude-code-router-next\n   ```\n\n#### 🔄 从官方原版社区版迁移 (@musistudio/claude-code-router)\n\n如果您当前正在使用官方原版社区版本 `@musistudio/claude-code-router` 或之前的版本 `@wengine-ai/claude-code-router`，希望切换到 `@wengine-ai/claude-code-router-next`：\n\n1. **先卸载旧版本**：\n   ```shell\n   npm uninstall -g @musistudio/claude-code-router @wengine-ai/claude-code-router\n   ```\n\n2. **安装本仓库增强版本**：\n   ```shell\n   npm install -g @wengine-ai/claude-code-router-next\n   ```\n\n> **说明**：卸载旧包**不会影响**您已有的配置文件 `~/.claude-code-router/config.json`，新版本会自动读取原有配置。\n\n### 升级\n\n```shell\nnpm install -g @wengine-ai/claude-code-router-next@latest && ccr restart\n```\n\n### 📅 升级功能列表 (Changelog)\n\n| 版本 | 发布内容 |\n| --- | --- |\n| **v2.3.2410** | <ul><li>**并发优先模式开关移至通用配置**: 开关从 Router 配置区移到全局设置页「通用配置」区（「去除 Claude Code Attribution 动态头」下方），作为全局开关；配置仍存于 Router 节点，项目 Router 可通过 JSON 覆盖；项目级编辑器不再展示该开关。</li></ul> |\n| **v2.3.2409** | <ul><li>**并发优先模式（会话粘连 + 场景级溢出分流）**: 多项目共用一个 CCR 实例时，大量并发打到同一个模型会导致排队变慢。新增 `Router.enableConcurrencyPriority`（默认关闭）与 `Router.concurrencyThreshold`（默认 3），叠加在现有路由结果之上：路由选中模型（default/think/longContext/extendedContext/webSearch/image/background/模型族默认值）在途并发达到阈值后，新会话直接分流到该场景 fallback 列表（模型族优先于全局）中负载最低的健康模型；会话按槽位（session+模型族+场景）粘连首配模型保持 prompt 缓存命中，仅报错走 fallback 成功才切换；`provider,model` 显式路由与 `&lt;CCR-SUBAGENT-MODEL&gt;` 子代理覆盖不受影响。UI 全局设置页「通用配置」新增「并发优先模式」全局开关与阈值（中英文）。</li></ul> |\n| **v2.3.2408** | <ul><li>**Pi 项目 provider 自动换成可读名**: 2.3.2405 之前接管的项目仍是 `ccr-project-&lt;hash&gt;` 旧名且刷新不迁移；现在自动改为 `ccr-project-&lt;项目名&gt;-&lt;hash&gt;` 并删除孤儿条目，关闭接管也能清掉旧名。</li><li>**修复测试数据污染真实用量库**: 测试写的假请求（demo/global/project 等）此前会写进真实 `usage.sqlite`，已隔离；历史假记录已提供清理方案。</li><li>**npm 包页面补上仓库链接**（repository/homepage/bugs 与作者信息）。</li></ul> |\n| **v2.3.2407** | <ul><li>**ZCode 会话发现器**: ZCode 请求不带任何项目标识，项目级 Router 对 ZCode 无效；现在按会话回查 ZCode 本地任务索引（`~/.zcode/v2/tasks-index.sqlite`，会话 JSON 的 `meta.workspacePath` 兜底）得到运行目录并映射到项目 id，`ccr model --project`/UI 配置的项目 Router 对 ZCode 生效；索引晚写有一次短重试，异常一律退化为全局 Router。</li><li>**ZCode 项目接管开关（opt-in）**: 项目「接管的客户端」下拉新增 ZCode，且接管状态就是路由开关——只有勾选 ZCode 的项目走项目 Router，未勾选的项目保持全局 Router，避免会话发现把个人项目改道到项目/公司模型。ZCode 无可写的项目级配置文件，标记记录在 `~/.claude-code-router/<project-id>/takeover-clients.json`，取消勾选或删除项目时清除。</li></ul> |\n| **v2.3.2406** | <ul><li>**默认思考等级支持自定义值**: 除枚举外可填 token 预算或供应商私有字符串（如 `minimal`/`off`）；数字在 Anthropic 端点按精确预算注入、OpenAI 系端点折叠为最接近档位，非枚举字符串在 OpenAI 系端点原样透传、Anthropic 端点按别名归一（min/minimal/light→low、xhigh/maximum/ultra→max）；UI 新增「自定义」自由输入。</li><li>**思考深度按 effort 下发**: `convertToAnthropic` 现在同时下发 `output_config.effort`（当前 Anthropic 模型与 GLM 等兼容端点真正读取的字段），`thinking.budget_tokens` 保留以兼容旧模型与中转；客户端原始 effort 不再被丢弃、`thinking.type=adaptive` 不再被误判为关闭思考、预算不再被四舍五入到档位。</li><li>**ZCode 独立客户端归属**: 此前 ZCode 用 `ccr-*` 别名 + Claude Code 兼容 metadata 调用，日志一律记为 claude-code；现按请求头（`User-Agent: ZCode/…`、`X-ZCode-*`）识别并单独计入用量。</li><li>**release.sh 发布中断可续跑**: 重跑自动跳过已发布的包，只发剩余包。</li></ul> |\n| **v2.3.2405** | <ul><li>**供应商级默认思考等级**: 客户端未携带思考配置时按供应商配置的默认等级注入，并按端点类型自动转义——Anthropic `/v1/messages` → `thinking.budget_tokens`、OpenAI `/v1/responses` → `reasoning.effort`、OpenAI 兼容 chat → `reasoning_effort`；客户端显式设置始终优先。附带修复客户端显式 thinking 在 Anthropic 端点被丢弃的问题。</li><li>**预置自引用 `ccr` 供应商（免接管）**: ZCode 等自配端点客户端不再需要接管——CCR 启动/保存配置时自动确保存在指向自身的 `ccr` 供应商（ccr-opus/sonnet/haiku）；删除后记 tombstone 不复活。</li><li>**pi 项目 provider 命名可读化**: `ccr-project-<hash>` → `ccr-project-<项目名>-<hash>`，旧格式无需迁移。</li></ul> |\n| **v2.3.2404** | <ul><li>**opencode provider 默认携带 x-opencode-session 会话头**: OpenCode Go 端点强制要求 `x-opencode-session`（缺失直接 400），而 CCR 非透传模式重建上游请求时只带 `Authorization`，客户端会话头全部丢弃，导致 opencode go 供应商（如 `omen-alpha`）全部 400。opencode transformer 现按优先级复用稳定会话 ID：客户端原生 `x-opencode-session` 头 → client adapter 提取的 Claude Code 会话 ID（`metadata.user_id`）→ 请求体兜底提取 → Codex 原生 `session_id` 头 → 回退每请求 UUID；同一会话内值稳定，命中 Go 的路由与 prompt cache 优化。</li></ul> |\n| **v2.3.2403** | <ul><li>**修复 Pi 项目级路由未生效**: Pi 项目接管不再复用无法标识项目的全局 `ccr` provider；每个项目改用携带受管项目 ID 的独立 provider，服务端直接加载对应项目 Router。旧接管会自动迁移，关闭全局 Pi 接管不会破坏项目接管，无效映射也不会静默回落到全局模型。</li></ul> |\n| **v2.3.2402** | <ul><li>**formatResponse SSE 识别放宽**: 之前仅对 `application/json` 头 peek,上游用非标准 Content-Type(`text/plain`/空)返回 SSE 仍会报 non-JSON;现对任何非流式响应都先 peek 判 SSE。</li></ul> |\n| **v2.3.2400** | <ul><li>**SSE 误标 JSON 的多层彻底修复**: v2.3.2397–2399 只看首个 chunk,遇空首块/心跳(`: ping`)/分片(`ev`/`ent:`)仍误判报错;现改为累积多 chunk 判定,并统一修复 formatResponse、两个 transformer、hidden-error-check 与 validateStreamingResponse 四处,误标 SSE 全部按流式透传。</li></ul> |\n\n> 仅保留最近 10 个版本，更早版本的发布摘要见 [CHANGELOG-archive.md](./CHANGELOG-archive.md)，完整详细变更记录见 [CHANGELOG.md](./CHANGELOG.md)。\n\n### 2. 配置\n\n创建并配置您的 `~/.claude-code-router/config.json` 文件。有关更多详细信息，您可以参考 `config.example.json`。\n\n> [!IMPORTANT]\n> **重要提示**：手动修改 `config.json` 配置文件（如更新 API Key、百炼 Cookie 等）后，**必须重启后台服务才能使新配置生效**。请在保存文件后，在终端运行以下命令：\n> ```shell\n> ccr restart\n> ```\n\n`config.json` 文件有几个关键部分：\n- **`PROXY_URL`** (可选): 您可以为 API 请求设置代理，例如：`\"PROXY_URL\": \"http://127.0.0.1:7890\"`。CCR 进程自身通过此地址连接代理端口，无需开启系统代理、TUN 或代理软件的全局模式。\n- **`PROXY_GLOBAL_ENABLED`** (可选): 控制代理的作用范围。未配置或设为 `true`（默认）时，所有 provider 的出站请求均走代理，保持与旧配置的兼容性。设为 `false` 时，仅标记了 `proxy_enabled: true` 的 provider 走代理，其余 provider 直连。所有 provider 共用顶层 `PROXY_URL`，不支持为每个 provider 单独设置代理地址。如果 `PROXY_URL` 未设置（空地址），则所有代理开关均不生效，全部直连。provider 专属的出站请求（推理、fallback、健康探测、额度查询、wakeup 唤醒、provider API tokenizer 等）均遵循同一 provider 代理策略。\n  > [!WARNING]\n  > 代理可看到 API key 和请求内容，请仅配置可信代理。\n- **`LOG`** (可选): 您可以通过将其设置为 `true` 来启用日志记录。当设置为 `false` 时，将不会创建日志文件。默认值为 `true`。\n- **`LOG_LEVEL`** (可选): 设置日志级别。可用选项包括：`\"fatal\"`、`\"error\"`、`\"warn\"`、`\"info\"`、`\"debug\"`、`\"trace\"`。默认值为 `\"error\"`；仅在显式配置为 `\"info\"`、`\"debug\"` 或 `\"trace\"` 时输出详细日志。\n- **日志系统**: Claude Code Router 使用两个独立的日志系统：\n  - **服务器级别日志**: HTTP 请求、API 调用和服务器事件使用 pino 记录在 `~/.claude-code-router/logs/` 目录中，文件名类似于 `ccr-*.log`\n  - **应用程序级别日志**: 路由决策和业务逻辑事件记录在 `~/.claude-code-router/claude-code-router.log` 文件中\n- **`APIKEY`** (可选): 您可以设置一个密钥来进行身份验证。设置后，客户端请求必须在 `Authorization` 请求头 (例如, `Bearer your-secret-key`) 或 `x-api-key` 请求头中提供此密钥。例如：`\"APIKEY\": \"your-secret-key\"`。\n- **`HOST`** (可选): 您可以设置服务的主机地址。如果未设置 `APIKEY`，出于安全考虑，主机地址将强制设置为 `127.0.0.1`，以防止未经授权的访问。例如：`\"HOST\": \"0.0.0.0\"`。\n- **`NON_INTERACTIVE_MODE`** (可选): 当设置为 `true` 时，启用与非交互式环境（如 GitHub Actions、Docker 容器或其他 CI/CD 系统）的兼容性。这会设置适当的环境变量（`CI=true`、`FORCE_COLOR=0` 等）并配置 stdin 处理，以防止进程在自动化环境中挂起。例如：`\"NON_INTERACTIVE_MODE\": true`。\n- **`Providers`**: 用于配置不同的模型提供商。\n- **`Router`**: 用于设置路由规则。`default` 指定默认模型，如果未配置其他路由，则该模型将用于所有请求。\n- **`API_TIMEOUT_MS`**: API 请求超时时间，单位为毫秒。\n\n这是一个综合示例：\n\n```json\n{\n  \"APIKEY\": \"your-secret-key\",\n  \"PROXY_URL\": \"http://127.0.0.1:7890\",\n  \"PROXY_GLOBAL_ENABLED\": false,\n  \"LOG\": true,\n  \"LOG_LEVEL\": \"error\",\n  \"API_TIMEOUT_MS\": 600000,\n  \"NON_INTERACTIVE_MODE\": false,\n  \"Providers\": [\n    {\n      \"name\": \"openrouter\",\n      \"api_base_url\": \"https://openrouter.ai/api/v1/chat/completions\",\n      \"api_key\": \"sk-xxx\",\n      \"models\": [\n        \"google/gemini-2.5-pro-preview\",\n        \"anthropic/claude-sonnet-4\",\n        \"anthropic/claude-3.5-sonnet\",\n        \"anthropic/claude-3.7-sonnet:thinking\"\n      ],\n      \"transformer\": {\n        \"use\": [\"openrouter\"]\n      },\n      \"proxy_enabled\": true\n    },\n    {\n      \"name\": \"deepseek\",\n      \"api_base_url\": \"https://api.deepseek.com/chat/completions\",\n      \"api_key\": \"sk-xxx\",\n      \"models\": [\"deepseek-chat\", \"deepseek-reasoner\"],\n      \"transformer\": {\n        \"use\": [\"deepseek\"],\n        \"deepseek-chat\": {\n          \"use\": [\"tooluse\"]\n        }\n      }\n    },\n    {\n      \"name\": \"ollama\",\n      \"api_base_url\": \"http://localhost:11434/v1/chat/completions\",\n      \"api_key\": \"ollama\",\n      \"models\": [\"qwen2.5-coder:latest\"]\n    },\n    {\n      \"name\": \"gemini\",\n      \"api_base_url\": \"https://generativelanguage.googleapis.com/v1beta/models/\",\n      \"api_key\": \"sk-xxx\",\n      \"models\": [\"gemini-2.5-flash\", \"gemini-2.5-pro\"],\n      \"transformer\": {\n        \"use\": [\"gemini\"]\n      }\n    },\n    {\n      \"name\": \"volcengine\",\n      \"api_base_url\": \"https://ark.cn-beijing.volces.com/api/v3/chat/completions\",\n      \"api_key\": \"sk-xxx\",\n      \"models\": [\"deepseek-v3-250324\", \"deepseek-r1-250528\"],\n      \"transformer\": {\n        \"use\": [\"deepseek\"]\n      }\n    },\n    {\n      \"name\": \"modelscope\",\n      \"api_base_url\": \"https://api-inference.modelscope.cn/v1/chat/completions\",\n      \"api_key\": \"\",\n      \"models\": [\"Qwen/Qwen3-Coder-480B-A35B-Instruct\", \"Qwen/Qwen3-235B-A22B-Thinking-2507\"],\n      \"transformer\": {\n        \"use\": [\n          [\n            \"maxtoken\",\n            {\n              \"max_tokens\": 65536\n            }\n          ],\n          \"enhancetool\"\n        ],\n        \"Qwen/Qwen3-235B-A22B-Thinking-2507\": {\n          \"use\": [\"reasoning\"]\n        }\n      }\n    },\n    {\n      \"name\": \"dashscope\",\n      \"api_base_url\": \"https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions\",\n      \"api_key\": \"\",\n      \"models\": [\"qwen3-coder-plus\"],\n      \"transformer\": {\n        \"use\": [\n          [\n            \"maxtoken\",\n            {\n              \"max_tokens\": 65536\n            }\n          ],\n          \"enhancetool\"\n        ]\n      }\n    },\n    {\n      \"name\": \"aihubmix\",\n      \"api_base_url\": \"https://aihubmix.com/v1/chat/completions\",\n      \"api_key\": \"sk-\",\n      \"models\": [\n        \"Z/glm-4.5\",\n        \"claude-opus-4-20250514\",\n        \"gemini-2.5-pro\"\n      ]\n    }\n  ],\n  \"Router\": {\n    \"default\": \"deepseek,deepseek-chat\",\n    \"background\": \"ollama,qwen2.5-coder:latest\",\n    \"think\": \"deepseek,deepseek-reasoner\",\n    \"longContext\": \"openrouter,google/gemini-2.5-pro-preview\",\n    \"longContextThreshold\": 60000,\n    \"webSearch\": \"gemini,gemini-2.5-flash\"\n  }\n}\n```\n\n### 🔑 阿里云百炼用量 Token (Cookie) 获取引导\n\n如果您想让 Claude Code Router 的后台 Web UI 实时拉取并可视化展示您的 **Qwen Coding Plan（Qwen 编程时限套餐）** 剩余用量额度条，您需要获取控制台的浏览器 `Cookie` 作为 `quotaToken` 填入配置：\n\n1. 登录 [阿里云百炼控制台](https://bailian.console.aliyun.com/)。\n2. 按键盘 `F12` 打开浏览器开发者工具，并切换到 **Network (网络)** 标签页。\n3. 点击页面用量模块右上角的 **用量刷新**（旋转循环箭头）按钮。\n4. 在左侧网络请求列表中，找到一个以 `api.json?action=BroadScope...` 开头的接口调用请求并点击。\n5. 在右侧 **Headers (标头)** 的 **Request Headers (请求头)** 中找到 **`Cookie`** 这一项，将其右侧的完整超长内容复制下来。\n6. 在您的 `config.json` 中，将这个 cookie 填入阿里云 provider 下的 **`quotaToken`** 属性中即可！\n\n配置成功后，Web UI 的 Provider 列表中将会实时展示您的套餐剩余用量额度条与刷新状态：\n\n![阿里云用量 Cookie 获取方式](blog/images/aliyun-quota-auth.png)\n\n![阿里云用量额度条展示](blog/images/aliyun-quota-display.png)\n\n### 🔑 讯飞 Coding Plan 用量 Token (Cookie) 获取引导\n\n如果您想让 Claude Code Router 的后台 Web UI 实时拉取并可视化展示您的 **讯飞 Coding Plan** 剩余用量额度条，您需要进入讯飞 Coding Plan 订阅查询页面，打开浏览器开发者工具的 Network 面板，刷新页面后复制请求中的 `Cookie` 作为 `quotaToken` 填入配置：\n\n1. 登录讯飞 Coding Plan 订阅查询页面。\n2. 按键盘 `F12` 打开浏览器开发者工具，并切换到 **Network (网络)** 标签页。\n3. 刷新页面。\n4. 在左侧网络请求列表中，找到订阅查询页面对应的用量查询请求并点击。\n5. 在右侧 **Headers (标头)** 的 **Request Headers (请求头)** 中找到 **`Cookie`** 这一项，将其右侧的完整内容复制下来。\n6. 在您的 `config.json` 中，将这个 cookie 填入讯飞 provider 下的 **`quotaToken`** 属性中，或者粘贴到 UI 的 **限额查询 Token** 输入框中即可。\n\n> **注意**: 这个 token 不是长期有效的，可能会过期；过期后需要重新手动添加。\n\n### 3. 使用 Router 运行 Claude Code\n\n使用 router 启动 Claude Code：\n\n```shell\nccr code\n```\n\n> **注意**: 修改配置文件后，需要重启服务使配置生效：\n> ```shell\n> ccr restart\n> ```\n\n### 4. UI 模式\n\n为了获得更直观的体验，您可以使用 UI 模式来管理您的配置：\n\n```shell\nccr ui\n```\n\n这将打开一个基于 Web 的界面，您可以在其中轻松查看和编辑您的 `config.json` 文件。\n\n![UI](/blog/images/ui.png)\n\n#### 用量统计\n\n仪表盘在主页面底部内置了**用量统计**面板。当您的请求通过 Claude Code Router 进行路由时，系统会自动收集用量记录并在 UI 界面中展示。\n\n您可以使用它来查看：\n\n- 总请求数\n- 输入和输出 Token 数\n- 平均首 Token 延迟 (TTFT)\n- 平均生成速度 (Tokens/秒)\n- 请求成功率\n- 每日用量图表\n- 支持筛选和分页的详细请求历史记录\n\n![用量统计](/blog/images/usage-statistics.png)\n\n如何使用：\n\n1. 使用 `ccr start` 启动路由器服务\n2. 使用 `ccr ui` 打开 Web 界面\n3. 通过 Claude Code Router 发送请求（例如使用 `ccr code`）\n4. 返回主仪表盘，查看**用量统计**面板\n\n用量数据保存在：\n\n```shell\n~/.claude-code-router/data/usage.jsonl\n```\n\n### 5. CLI 模型管理\n\n对于偏好终端工作流的用户，可以使用交互式 CLI 模型选择器：\n\n```shell\nccr model\n```\n\n该命令提供交互式界面来：\n\n- 查看当前配置\n- 查看所有配置的模型（default、background、think、longContext、webSearch、image）\n- 切换模型：快速更改每个路由器类型使用的模型\n- 添加新模型：向现有提供商添加模型\n- 创建新提供商：设置完整的提供商配置，包括：\n   - 提供商名称和 API 端点\n   - API 密钥\n   - 可用模型\n   - Transformer 配置，支持：\n     - 多个转换器（openrouter、deepseek、gemini 等）\n     - Transformer 选项（例如，带自定义限制的 maxtoken）\n     - 特定于提供商的路由（例如，OpenRouter 提供商偏好）\n\nCLI 工具验证所有输入并提供有用的提示来引导您完成配置过程，使管理复杂的设置变得容易，无需手动编辑 JSON 文件。\n\n### 6. 预设管理\n\n预设允许您轻松保存、共享和重用配置。您可以将当前配置导出为预设，并从文件或 URL 安装预设。\n\n```shell\n# 将当前配置导出为预设\nccr preset export my-preset\n\n# 使用元数据导出\nccr preset export my-preset --description \"我的 OpenAI 配置\" --author \"您的名字\" --tags \"openai,生产环境\"\n\n# 从本地目录安装预设\nccr preset install /path/to/preset\n\n# 列出所有已安装的预设\nccr preset list\n\n# 显示预设信息\nccr preset info my-preset\n\n# 删除预设\nccr preset delete my-preset\n```\n\n**预设功能：**\n- **导出**：将当前配置保存为预设目录（包含 manifest.json）\n- **安装**：从本地目录安装预设\n- **敏感数据处理**：导出期间自动清理 API 密钥和其他敏感数据（标记为 `{{field}}` 占位符）\n- **动态配置**：预设可以包含输入架构，用于在安装期间收集所需信息\n- **版本控制**：每个预设包含版本元数据，用于跟踪更新\n\n**预设文件结构：**\n```\n~/.claude-code-router/presets/\n├── my-preset/\n│   └── manifest.json    # 包含配置和元数据\n```\n\n### 7. Activate 命令（环境变量设置）\n\n`activate` 命令允许您在 shell 中全局设置环境变量，使您能够直接使用 `claude` 命令或将 Claude Code Router 与使用 Agent SDK 构建的应用程序集成。\n\n要激活环境变量，请运行：\n\n```shell\neval \"$(ccr activate)\"\n```\n\n此命令会以 shell 友好的格式输出必要的环境变量，这些变量将在当前的 shell 会话中设置。激活后，您可以：\n\n- **直接使用 `claude` 命令**：无需使用 `ccr code` 即可运行 `claude` 命令。`claude` 命令将自动通过 Claude Code Router 路由请求。\n- **与 Agent SDK 应用程序集成**：使用 Anthropic Agent SDK 构建的应用程序将自动使用配置的路由器和模型。\n\n`activate` 命令设置以下环境变量：\n\n- `ANTHROPIC_AUTH_TOKEN`: 来自配置的 API 密钥\n- `ANTHROPIC_BASE_URL`: 本地路由器端点（默认：`http://127.0.0.1:3456`）\n- `NO_PROXY`: 设置为 `127.0.0.1` 以防止代理干扰\n- `DISABLE_TELEMETRY`: 禁用遥测\n- `DISABLE_COST_WARNINGS`: 禁用成本警告\n- `API_TIMEOUT_MS`: 来自配置的 API 超时时间\n\n> **注意**：在使用激活的环境变量之前，请确保 Claude Code Router 服务正在运行（`ccr start`）。环境变量仅在当前 shell 会话中有效。要使其持久化，您可以将 `eval \"$(ccr activate)\"` 添加到您的 shell 配置文件（例如 `~/.zshrc` 或 `~/.bashrc`）中。\n\n#### Providers\n\n`Providers` 数组是您定义要使用的不同模型提供商的地方。每个提供商对象都需要：\n\n-   `name`: 提供商的唯一名称。\n-   `api_base_url`: 聊天补全的完整 API 端点。\n-   `api_key`: 您提供商的 API 密钥。\n-   `models`: 此提供商可用的模型名称列表。\n-   `transformer` (可选): 指定用于处理请求和响应的转换器。\n\n#### Transformers\n\nTransformers 允许您修改请求和响应负载，以确保与不同提供商 API 的兼容性。\n\n-   **全局 Transformer**: 将转换器应用于提供商的所有模型。在此示例中，`openrouter` 转换器将应用于 `openrouter` 提供商下的所有模型。\n    ```json\n     {\n       \"name\": \"openrouter\",\n       \"api_base_url\": \"https://openrouter.ai/api/v1/chat/completions\",\n       \"api_key\": \"sk-xxx\",\n       \"models\": [\n         \"google/gemini-2.5-pro-preview\",\n         \"anthropic/claude-sonnet-4\",\n         \"anthropic/claude-3.5-sonnet\"\n       ],\n       \"transformer\": { \"use\": [\"openrouter\"] }\n     }\n    ```\n-   **特定于模型的 Transformer**: 将转换器应用于特定模型。在此示例中，`deepseek` 转换器应用于所有模型，而额外的 `tooluse` 转换器仅应用于 `deepseek-chat` 模型。\n    ```json\n     {\n       \"name\": \"deepseek\",\n       \"api_base_url\": \"https://api.deepseek.com/chat/completions\",\n       \"api_key\": \"sk-xxx\",\n       \"models\": [\"deepseek-chat\", \"deepseek-reasoner\"],\n       \"transformer\": {\n         \"use\": [\"deepseek\"],\n         \"deepseek-chat\": { \"use\": [\"tooluse\"] }\n       }\n     }\n    ```\n\n-   **向 Transformer 传递选项**: 某些转换器（如 `maxtoken`）接受选项。要传递选项，请使用嵌套数组，其中第一个元素是转换器名称，第二个元素是选项对象。\n    ```json\n    {\n      \"name\": \"siliconflow\",\n      \"api_base_url\": \"https://api.siliconflow.cn/v1/chat/completions\",\n      \"api_key\": \"sk-xxx\",\n      \"models\": [\"moonshotai/Kimi-K2-Instruct\"],\n      \"transformer\": {\n        \"use\": [\n          [\n            \"maxtoken\",\n            {\n              \"max_tokens\": 16384\n            }\n          ]\n        ]\n      }\n    }\n    ```\n\n**可用的内置 Transformer：**\n\n-   `Anthropic`: 如果你只使用这一个转换器，则会直接透传请求和响应(你可以用它来接入其他支持Anthropic端点的服务商)。\n-   `deepseek`: 适配 DeepSeek API 的请求/响应。\n-   `gemini`: 适配 Gemini API 的请求/响应。\n-   `openrouter`: 适配 OpenRouter API 的请求/响应。它还可以接受一个 `provider` 路由参数，以指定 OpenRouter 应使用哪些底层提供商。有关更多详细信息，请参阅 [OpenRouter 文档](https://openrouter.ai/docs/features/provider-routing)。请参阅下面的示例：\n    ```json\n      \"transformer\": {\n        \"use\": [\"openrouter\"],\n        \"moonshotai/kimi-k2\": {\n          \"use\": [\n            [\n              \"openrouter\",\n              {\n                \"provider\": {\n                  \"only\": [\"moonshotai/fp8\"]\n                }\n              }\n            ]\n          ]\n        }\n      }\n    ```\n-   `groq`: 适配 groq API 的请求/响应\n-   `maxtoken`: 设置特定的 `max_tokens` 值。\n-   `tooluse`: 优化某些模型的工具使用(通过`tool_choice`参数)。\n-   `gemini-cli` (实验性): 通过 Gemini CLI [gemini-cli.js](https://gist.github.com/musistudio/1c13a65f35916a7ab690649d3df8d1cd) 对 Gemini 的非官方支持。\n-   `reasoning`: 用于处理 `reasoning_content` 字段。\n-   `sampling`: 用于处理采样信息字段，如 `temperature`、`top_p`、`top_k` 和 `repetition_penalty`。\n-   `enhancetool`: 对 LLM 返回的工具调用参数增加一层容错处理（这会导致不再流式返回工具调用信息）。\n-   `cleancache`: 清除请求中的 `cache_control` 字段。\n-   `vertex-gemini`: 处理使用 vertex 鉴权的 gemini api。\n-   `qwen-cli` (实验性): 通过 Qwen CLI [qwen-cli.js](https://gist.github.com/musistudio/f5a67841ced39912fd99e42200d5ca8b) 对 qwen3-coder-plus 的非官方支持。\n-   `rovo-cli` (experimental): 通过 Atlassian Rovo Dev CLI [rovo-cli.js](https://gist.github.com/SaseQ/c2a20a38b11276537ec5332d1f7a5e53) 对 GPT-5 的非官方支持。\n\n**自定义 Transformer:**\n\n您还可以创建自己的转换器，并通过 `config.json` 中的 `transformers` 字段加载它们。\n\n```json\n{\n  \"transformers\": [\n      {\n        \"path\": \"/User/xxx/.claude-code-router/plugins/gemini-cli.js\",\n        \"options\": {\n          \"project\": \"xxx\"\n        }\n      }\n  ]\n}\n```\n\n#### Router\n\n`Router` 对象定义了在不同场景下使用哪个模型：\n\n-   `default`: 用于常规任务的默认模型。\n-   `background`: 用于后台任务的模型。这可以是一个较小的本地模型以节省成本。\n-   `think`: 用于推理密集型任务（如计划模式）的模型。\n-   `longContext`: 用于处理长上下文（例如，> 60K 令牌）的模型。\n-   `longContextThreshold` (可选): 触发长上下文模型的令牌数阈值。如果未指定，默认为 60000。\n-   `webSearch`: 用于处理网络搜索任务，需要模型本身支持。如果使用`openrouter`需要在模型后面加上`:online`后缀。\n-   `image`(测试版): 用于处理图片类任务（采用CCR内置的agent支持），如果该模型不支持工具调用，需要将`config.forceUseImageAgent`属性设置为`true`。\n\n您还可以使用 `/model` 命令在 Claude Code 中动态切换模型：\n`/model provider_name,model_name`\n示例: `/model openrouter,anthropic/claude-3.5-sonnet`\n\n#### 自定义路由器\n\n对于更高级的路由逻辑，您可以在 `config.json` 中通过 `CUSTOM_ROUTER_PATH` 字段指定一个自定义路由器脚本。这允许您实现超出默认场景的复杂路由规则。\n\n在您的 `config.json` 中配置:\n\n```json\n{\n  \"CUSTOM_ROUTER_PATH\": \"/User/xxx/.claude-code-router/custom-router.js\"\n}\n```\n\n自定义路由器文件必须是一个导出 `async` 函数的 JavaScript 模块。该函数接收请求对象和配置对象作为参数，并应返回提供商和模型名称的字符串（例如 `\"provider_name,model_name\"`），如果返回 `null` 则回退到默认路由。\n\n这是一个基于 `custom-router.example.js` 的 `custom-router.js` 示例：\n\n```javascript\n// /User/xxx/.claude-code-router/custom-router.js\n\n/**\n * 一个自定义路由函数，用于根据请求确定使用哪个模型。\n *\n * @param {object} req - 来自 Claude Code 的请求对象，包含请求体。\n * @param {object} config - 应用程序的配置对象。\n * @returns {Promise<string|null>} - 一个解析为 \"provider,model_name\" 字符串的 Promise，如果返回 null，则使用默认路由。\n */\nmodule.exports = async function router(req, config) {\n  const userMessage = req.body.messages.find(m => m.role === 'user')?.content;\n\n  if (userMessage && userMessage.includes('解释这段代码')) {\n    // 为代码解释任务使用更强大的模型\n    return 'openrouter,anthropic/claude-3.5-sonnet';\n  }\n\n  // 回退到默认的路由配置\n  return null;\n};\n```\n\n##### 子代理路由\n\n对于子代理内的路由，您必须在子代理提示词的**开头**包含 `<CCR-SUBAGENT-MODEL>provider,model</CCR-SUBAGENT-MODEL>` 来指定特定的提供商和模型。这样可以将特定的子代理任务定向到指定的模型。\n\n**示例：**\n\n```\n<CCR-SUBAGENT-MODEL>openrouter,anthropic/claude-3.5-sonnet</CCR-SUBAGENT-MODEL>\n请帮我分析这段代码是否存在潜在的优化空间...\n```\n\n## Status Line (Beta)\n为了在运行时更好的查看claude-code-router的状态，claude-code-router在v1.0.40内置了一个statusline工具，你可以在UI中启用它，\n![statusline-config.png](/blog/images/statusline-config.png)\n\n效果如下（包含全新的彩色渐变 Context 上下文占用进度条）：\n![statusline](/blog/images/statusline-v2.png)\n\n## 🤖 GitHub Actions\n\n将 Claude Code Router 集成到您的 CI/CD 管道中。在设置 [Claude Code Actions](https://docs.anthropic.com/en/docs/claude-code/github-actions) 后，修改您的 `.github/workflows/claude.yaml` 以使用路由器：\n\n```yaml\nname: Claude Code\n\non:\n  issue_comment:\n    types: [created]\n  # ... other triggers\n\njobs:\n  claude:\n    if: |\n      (github.event_name == 'issue_comment' && contains(github.event.comment.body, '@claude')) ||\n      # ... other conditions\n    runs-on: ubuntu-latest\n    permissions:\n      contents: read\n      pull-requests: read\n      issues: read\n      id-token: write\n    steps:\n      - name: Checkout repository\n        uses: actions/checkout@v4\n        with:\n          fetch-depth: 1\n\n      - name: Prepare Environment\n        run: |\n          curl -fsSL https://bun.sh/install | bash\n          mkdir -p $HOME/.claude-code-router\n          cat << 'EOF' > $HOME/.claude-code-router/config.json\n          {\n            \"log\": true,\n            \"NON_INTERACTIVE_MODE\": true,\n            \"OPENAI_API_KEY\": \"${{ secrets.OPENAI_API_KEY }}\",\n            \"OPENAI_BASE_URL\": \"https://api.deepseek.com\",\n            \"OPENAI_MODEL\": \"deepseek-chat\"\n          }\n          EOF\n        shell: bash\n\n      - name: Start Claude Code Router\n        run: |\n          nohup ~/.bun/bin/bunx @wengine-ai/claude-code-router-next@latest start &\n        shell: bash\n\n      - name: Run Claude Code\n        id: claude\n        uses: anthropics/claude-code-action@beta\n        env:\n          ANTHROPIC_BASE_URL: http://localhost:3456\n        with:\n          anthropic_api_key: \"any-string-is-ok\"\n```\n\n这种设置可以实现有趣的自动化，例如在非高峰时段运行任务以降低 API 成本。\n\n## 🎯 高级功能\n\n### 模型族映射 (Family Routing)\n\nClaude Code Router 支持**模型族映射**，将 Claude Code 的模型分级（opus/sonnet/haiku）映射到不同服务商的模型。这实现了智能成本控制：主进程保持相同模型以最大化缓存命中，子代理可自动降级。\n\n#### 配置示例\n\n```json\n{\n  \"Router\": {\n    \"enableFamilyRouting\": true,\n    \"families\": {\n      \"opus\": {\n        \"default\": \"智谱 Coding Plan,glm-5\",\n        \"think\": \"DeepSeek,deepseek-reasoner\",\n        \"longContext\": \"阿里云,qwen3-plus\",\n        \"webSearch\": \"Gemini,gemini-2.5-flash\",\n        \"fallback\": {\n          \"default\": [\"阿里云,glm-4\", \"DeepSeek,deepseek-chat\"],\n          \"think\": [\"阿里云,qwen-plus\", \"DeepSeek,deepseek-reasoner\"]\n        }\n      },\n      \"sonnet\": {\n        \"default\": \"OpenRouter,deepseek/deepseek-v3\",\n        \"think\": \"DeepSeek,deepseek-reasoner\",\n        \"fallback\": {\n          \"default\": [\"阿里云,qwen-turbo\", \"Gemini,gemini-2.0-flash\"]\n        }\n      },\n      \"haiku\": {\n        \"default\": \"阿里云,qwen-turbo\",\n        \"fallback\": {\n          \"default\": [\"Gemini,gemini-2.0-flash-lite\"]\n        }\n      }\n    }\n  }\n}\n```\n\n#### 场景说明\n\n| 场景 | 触发条件 | 说明 |\n|------|----------|------|\n| `default` | 默认 | 日常对话和代码生成 |\n| `think` | Plan Mode | 复杂推理、架构设计 |\n| `longContext` | token > 60000 | 大文件分析 |\n| `webSearch` | web_search tool | 网络搜索任务 |\n| `background` | 后台任务 | 自动提交、简单检查 |\n\n### Fallback 机制\n\n当主模型失败时，Router 会自动尝试 fallback 链中的备用模型，确保请求不中断。\n\n#### 工作流程\n\n1. **健康检查**：每个 provider/model 维护健康状态\n   - `closed`（健康）→ 绿色指示器\n   - `open`（失败池）→ 红色指示器，自动跳过\n   - `half-open`（恢复中）→ 黄色指示器\n\n2. **供应商主开关 (Master Toggle)**：在管理面板中，每个供应商都拥有独立的开启/关闭开关：\n   - **最高优先级**：当供应商关闭时，旗下所有模型将强制失效且不可选中，健康指示器置灰。\n   - **智能 Fallback**：若主模型路由被关闭，系统立刻发起重试并直接进入 fallback 链；若 fallback 列表中的某备用模型所对应的供应商处于关闭状态，则系统自动跳过该模型。\n   - **防冗余探测**：关闭的供应商会完全**免除**主动探测和健康恢复检查，避免无谓的网络调用和资源占用，直至开关重新开启。\n   - **智能预警提示**：如果当前设置的某项主模型路由（如 `default` 等）所属的供应商已被关闭，控制台界面会实时显示醒目的警示红字，提醒及时更换模型配置。\n\n3. **失败判定**：连续 3 次失败后进入 `open` 状态\n\n4. **拖动排序**：UI 支持拖动 fallback 模型调整优先级，排序越靠前越先尝试\n\n5. **Fallback Promotion**：当主模型失败且 fallback 成功时，临时\"晋升\" fallback 模型（TTL 10 分钟），后续请求直接使用晋升模型，避免重复尝试失败的主模型\n\n6. **自动恢复**：每 5 分钟探测失败模型，成功后恢复为 `half-open`，再成功 2 次后恢复为 `closed`\n\n![Provider 健康状态](/blog/images/provider-health-healthy.png)\n\n#### Fallback 配置层级\n\n```\nfamily fallback → global fallback\n```\n\n优先使用模型族专属的 fallback 配置，其次使用全局 fallback。\n\n```json\n{\n  \"Router\": {\n    \"enableFallback\": true,\n    \"families\": {\n      \"opus\": {\n        \"fallback\": {\n          \"default\": [\"阿里云,glm-4\", \"DeepSeek,deepseek-chat\"]\n        }\n      }\n    }\n  },\n  \"fallback\": {\n    \"default\": [\"OpenRouter,deepseek/deepseek-v3\", \"Gemini,gemini-2.5-flash\"],\n    \"think\": [\"DeepSeek,deepseek-reasoner\"]\n  }\n}\n```\n\n### 用量统计\n\nRouter 提供完善的用量统计功能：\n\n#### Quota 监控\n\nUI 界面实时显示各服务商的额度使用情况：\n\n- **5h 额度**：短窗口限额（5 小时重置）\n- **7d 额度**：周度限额（7 天重置）\n- **重置时间**：显示下次额度重置时间\n\n![Quota 用量条](/blog/images/provider-quota-usage.png)\n\n支持的服务商：\n- 智谱 GLM Coding Plan\n- 阿里云 Qwen Coding Plan\n- Kimi Coding Plan\n- MiniMax Coding Plan\n- DeepSeek\n- OpenRouter\n- SiliconFlow\n\n#### Usage 记录\n\n每次请求都会记录详细统计信息：\n\n| 字段 | 说明 |\n|------|------|\n| `inputTokens` | 输入 token 数 |\n| `outputTokens` | 输出 token 数 |\n| `cacheReadInputTokens` | 缓存读取 token |\n| `cacheCreationInputTokens` | 缓存创建 token |\n| `ttft` | 首 token 时间 (ms) |\n| `tokensPerSecond` | 输出速度 |\n| `durationMs` | 请求耗时 |\n| `status` | success / error |\n\n数据存储位置：`~/.claude-code-router/data/usage.jsonl`\n\n## 交流群\n<img src=\"/blog/images/wechat_group.jpg\" width=\"200\" alt=\"wechat_group\" />\n","readmeFilename":"README.md"}