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Claude Code without an Anthropics account and route it to another LLM provider","maintainers":[{"name":"vondragon","email":"v@ug.hn"}],"readme":"\r\n\r\n[](README_zh.md)\r\n[](https://discord.gg/rdftVMaUcS)\r\n[](https://github.com/musistudio/claude-code-router/blob/main/LICENSE)\r\n\r\n
\r\n\r\n> I am currently seeking **Agent development related job opportunities**, either **based in Hangzhou** or **remote**. If you are interested in my projects or have suitable opportunities, feel free to reach out! 📧 Email: m@musiiot.top\r\n\r\n> A powerful tool to route Claude Code requests to different models and customize any request.\r\n\r\n> Now you can use models such as `GLM-4.5`, `Kimi-K2`, `Qwen3-Coder-480B-A35B`, and `DeepSeek v3.1` for free through the [iFlow Platform](https://platform.iflow.cn/docs/api-mode). \r\n> You can use the `ccr ui` command to directly import the `iflow` template in the UI. It’s worth noting that iFlow limits each user to a concurrency of 1, which means you’ll need to route background requests to other models. \r\n> If you’d like a better experience, you can try [iFlow CLI](https://cli.iflow.cn).\r\n\r\n\r\n\r\n\r\n\r\n## ✨ Features\r\n\r\n- **Model Routing**: Route requests to different models based on your needs (e.g., background tasks, thinking, long context).\r\n- **Multi-Provider Support**: Supports various model providers like OpenRouter, DeepSeek, Ollama, Gemini, Volcengine, and SiliconFlow.\r\n- **Request/Response Transformation**: Customize requests and responses for different providers using transformers.\r\n- **Dynamic Model Switching**: Switch models on-the-fly within Claude Code using the `/model` command.\r\n- **GitHub Actions Integration**: Trigger Claude Code tasks in your GitHub workflows.\r\n- **Plugin System**: Extend functionality with custom transformers.\r\n\r\n## 🚀 Getting Started\r\n\r\n### 1. Installation\r\n\r\nFirst, ensure you have [Claude Code](https://docs.anthropic.com/en/docs/claude-code/quickstart) installed:\r\n\r\n```shell\r\nnpm install -g @anthropic-ai/claude-code\r\n```\r\n\r\nThen, install Claude Code Router:\r\n\r\n```shell\r\nnpm install -g @alpaca-network/claude-code-router\r\n```\r\n\r\n### 2. Configuration\r\n\r\nCreate and configure your `~/.claude-code-router/config.json` file. For more details, you can refer to `config.example.json`.\r\n\r\nThe `config.json` file has several key sections:\r\n\r\n- **`PROXY_URL`** (optional): You can set a proxy for API requests, for example: `\"PROXY_URL\": \"http://127.0.0.1:7890\"`.\r\n- **`LOG`** (optional): You can enable logging by setting it to `true`. When set to `false`, no log files will be created. Default is `true`.\r\n- **`LOG_LEVEL`** (optional): Set the logging level. Available options are: `\"fatal\"`, `\"error\"`, `\"warn\"`, `\"info\"`, `\"debug\"`, `\"trace\"`. Default is `\"debug\"`.\r\n- **Logging Systems**: The Claude Code Router uses two separate logging systems:\r\n - **Server-level logs**: HTTP requests, API calls, and server events are logged using pino in the `~/.claude-code-router/logs/` directory with filenames like `ccr-*.log`\r\n - **Application-level logs**: Routing decisions and business logic events are logged in `~/.claude-code-router/claude-code-router.log`\r\n- **`APIKEY`** (optional): You can set a secret key to authenticate requests. When set, clients must provide this key in the `Authorization` header (e.g., `Bearer your-secret-key`) or the `x-api-key` header. Example: `\"APIKEY\": \"your-secret-key\"`.\r\n- **`HOST`** (optional): You can set the host address for the server. If `APIKEY` is not set, the host will be forced to `127.0.0.1` for security reasons to prevent unauthorized access. Example: `\"HOST\": \"0.0.0.0\"`.\r\n- **`NON_INTERACTIVE_MODE`** (optional): When set to `true`, enables compatibility with non-interactive environments like GitHub Actions, Docker containers, or other CI/CD systems. This sets appropriate environment variables (`CI=true`, `FORCE_COLOR=0`, etc.) and configures stdin handling to prevent the process from hanging in automated environments. Example: `\"NON_INTERACTIVE_MODE\": true`.\r\n\r\n- **`Providers`**: Used to configure different model providers.\r\n- **`Router`**: Used to set up routing rules. `default` specifies the default model, which will be used for all requests if no other route is configured.\r\n- **`API_TIMEOUT_MS`**: Specifies the timeout for API calls in milliseconds.\r\n\r\n#### Environment Variable Interpolation\r\n\r\nClaude Code Router supports environment variable interpolation for secure API key management. You can reference environment variables in your `config.json` using either `$VAR_NAME` or `${VAR_NAME}` syntax:\r\n\r\n```json\r\n{\r\n \"OPENAI_API_KEY\": \"$OPENAI_API_KEY\",\r\n \"GEMINI_API_KEY\": \"${GEMINI_API_KEY}\",\r\n \"Providers\": [\r\n {\r\n \"name\": \"openai\",\r\n \"api_base_url\": \"https://api.openai.com/v1/chat/completions\",\r\n \"api_key\": \"$OPENAI_API_KEY\",\r\n \"models\": [\"gpt-5\", \"gpt-5-mini\"]\r\n }\r\n ]\r\n}\r\n```\r\n\r\nThis allows you to keep sensitive API keys in environment variables instead of hardcoding them in configuration files. The interpolation works recursively through nested objects and arrays.\r\n\r\nHere is a comprehensive example:\r\n\r\n```json\r\n{\r\n \"APIKEY\": \"your-secret-key\",\r\n \"PROXY_URL\": \"http://127.0.0.1:7890\",\r\n \"LOG\": true,\r\n \"API_TIMEOUT_MS\": 600000,\r\n \"NON_INTERACTIVE_MODE\": false,\r\n \"Providers\": [\r\n {\r\n \"name\": \"openrouter\",\r\n \"api_base_url\": \"https://openrouter.ai/api/v1/chat/completions\",\r\n \"api_key\": \"sk-xxx\",\r\n \"models\": [\r\n \"google/gemini-2.5-pro-preview\",\r\n \"anthropic/claude-sonnet-4\",\r\n \"anthropic/claude-3.5-sonnet\",\r\n \"anthropic/claude-3.7-sonnet:thinking\"\r\n ],\r\n \"transformer\": {\r\n \"use\": [\"openrouter\"]\r\n }\r\n },\r\n {\r\n \"name\": \"deepseek\",\r\n \"api_base_url\": \"https://api.deepseek.com/chat/completions\",\r\n \"api_key\": \"sk-xxx\",\r\n \"models\": [\"deepseek-chat\", \"deepseek-reasoner\"],\r\n \"transformer\": {\r\n \"use\": [\"deepseek\"],\r\n \"deepseek-chat\": {\r\n \"use\": [\"tooluse\"]\r\n }\r\n }\r\n },\r\n {\r\n \"name\": \"ollama\",\r\n \"api_base_url\": \"http://localhost:11434/v1/chat/completions\",\r\n \"api_key\": \"ollama\",\r\n \"models\": [\"qwen2.5-coder:latest\"]\r\n },\r\n {\r\n \"name\": \"gemini\",\r\n \"api_base_url\": \"https://generativelanguage.googleapis.com/v1beta/models/\",\r\n \"api_key\": \"sk-xxx\",\r\n \"models\": [\"gemini-2.5-flash\", \"gemini-2.5-pro\"],\r\n \"transformer\": {\r\n \"use\": [\"gemini\"]\r\n }\r\n },\r\n {\r\n \"name\": \"volcengine\",\r\n \"api_base_url\": \"https://ark.cn-beijing.volces.com/api/v3/chat/completions\",\r\n \"api_key\": \"sk-xxx\",\r\n \"models\": [\"deepseek-v3-250324\", \"deepseek-r1-250528\"],\r\n \"transformer\": {\r\n \"use\": [\"deepseek\"]\r\n }\r\n },\r\n {\r\n \"name\": \"modelscope\",\r\n \"api_base_url\": \"https://api-inference.modelscope.cn/v1/chat/completions\",\r\n \"api_key\": \"\",\r\n \"models\": [\"Qwen/Qwen3-Coder-480B-A35B-Instruct\", \"Qwen/Qwen3-235B-A22B-Thinking-2507\"],\r\n \"transformer\": {\r\n \"use\": [\r\n [\r\n \"maxtoken\",\r\n {\r\n \"max_tokens\": 65536\r\n }\r\n ],\r\n \"enhancetool\"\r\n ],\r\n \"Qwen/Qwen3-235B-A22B-Thinking-2507\": {\r\n \"use\": [\"reasoning\"]\r\n }\r\n }\r\n },\r\n {\r\n \"name\": \"dashscope\",\r\n \"api_base_url\": \"https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions\",\r\n \"api_key\": \"\",\r\n \"models\": [\"qwen3-coder-plus\"],\r\n \"transformer\": {\r\n \"use\": [\r\n [\r\n \"maxtoken\",\r\n {\r\n \"max_tokens\": 65536\r\n }\r\n ],\r\n \"enhancetool\"\r\n ]\r\n }\r\n },\r\n {\r\n \"name\": \"aihubmix\",\r\n \"api_base_url\": \"https://aihubmix.com/v1/chat/completions\",\r\n \"api_key\": \"sk-\",\r\n \"models\": [\r\n \"Z/glm-4.5\",\r\n \"claude-opus-4-20250514\",\r\n \"gemini-2.5-pro\"\r\n ]\r\n }\r\n ],\r\n \"Router\": {\r\n \"default\": \"deepseek,deepseek-chat\",\r\n \"background\": \"ollama,qwen2.5-coder:latest\",\r\n \"think\": \"deepseek,deepseek-reasoner\",\r\n \"longContext\": \"openrouter,google/gemini-2.5-pro-preview\",\r\n \"longContextThreshold\": 60000,\r\n \"webSearch\": \"gemini,gemini-2.5-flash\"\r\n }\r\n}\r\n```\r\n\r\n### 3. Running Claude Code with the Router\r\n\r\nStart Claude Code using the router:\r\n\r\n```shell\r\nccr code\r\n```\r\n\r\n> **Note**: After modifying the configuration file, you need to restart the service for the changes to take effect:\r\n>\r\n> ```shell\r\n> ccr restart\r\n> ```\r\n\r\n### 4. UI Mode\r\n\r\nFor a more intuitive experience, you can use the UI mode to manage your configuration:\r\n\r\n```shell\r\nccr ui\r\n```\r\n\r\nThis will open a web-based interface where you can easily view and edit your `config.json` file.\r\n\r\n\r\n\r\n#### Providers\r\n\r\nThe `Providers` array is where you define the different model providers you want to use. Each provider object requires:\r\n\r\n- `name`: A unique name for the provider.\r\n- `api_base_url`: The full API endpoint for chat completions.\r\n- `api_key`: Your API key for the provider.\r\n- `models`: A list of model names available from this provider.\r\n- `transformer` (optional): Specifies transformers to process requests and responses.\r\n\r\n#### Transformers\r\n\r\nTransformers allow you to modify the request and response payloads to ensure compatibility with different provider APIs.\r\n\r\n- **Global Transformer**: Apply a transformer to all models from a provider. In this example, the `openrouter` transformer is applied to all models under the `openrouter` provider.\r\n ```json\r\n {\r\n \"name\": \"openrouter\",\r\n \"api_base_url\": \"https://openrouter.ai/api/v1/chat/completions\",\r\n \"api_key\": \"sk-xxx\",\r\n \"models\": [\r\n \"google/gemini-2.5-pro-preview\",\r\n \"anthropic/claude-sonnet-4\",\r\n \"anthropic/claude-3.5-sonnet\"\r\n ],\r\n \"transformer\": { \"use\": [\"openrouter\"] }\r\n }\r\n ```\r\n- **Model-Specific Transformer**: Apply a transformer to a specific model. In this example, the `deepseek` transformer is applied to all models, and an additional `tooluse` transformer is applied only to the `deepseek-chat` model.\r\n\r\n ```json\r\n {\r\n \"name\": \"deepseek\",\r\n \"api_base_url\": \"https://api.deepseek.com/chat/completions\",\r\n \"api_key\": \"sk-xxx\",\r\n \"models\": [\"deepseek-chat\", \"deepseek-reasoner\"],\r\n \"transformer\": {\r\n \"use\": [\"deepseek\"],\r\n \"deepseek-chat\": { \"use\": [\"tooluse\"] }\r\n }\r\n }\r\n ```\r\n\r\n- **Passing Options to a Transformer**: Some transformers, like `maxtoken`, accept options. To pass options, use a nested array where the first element is the transformer name and the second is an options object.\r\n ```json\r\n {\r\n \"name\": \"siliconflow\",\r\n \"api_base_url\": \"https://api.siliconflow.cn/v1/chat/completions\",\r\n \"api_key\": \"sk-xxx\",\r\n \"models\": [\"moonshotai/Kimi-K2-Instruct\"],\r\n \"transformer\": {\r\n \"use\": [\r\n [\r\n \"maxtoken\",\r\n {\r\n \"max_tokens\": 16384\r\n }\r\n ]\r\n ]\r\n }\r\n }\r\n ```\r\n\r\n**Available Built-in Transformers:**\r\n\r\n- `Anthropic`:If you use only the `Anthropic` transformer, it will preserve the original request and response parameters(you can use it to connect directly to an Anthropic endpoint).\r\n- `deepseek`: Adapts requests/responses for DeepSeek API.\r\n- `gemini`: Adapts requests/responses for Gemini API.\r\n- `openrouter`: Adapts requests/responses for OpenRouter API. It can also accept a `provider` routing parameter to specify which underlying providers OpenRouter should use. For more details, refer to the [OpenRouter documentation](https://openrouter.ai/docs/features/provider-routing). See an example below:\r\n ```json\r\n \"transformer\": {\r\n \"use\": [\"openrouter\"],\r\n \"moonshotai/kimi-k2\": {\r\n \"use\": [\r\n [\r\n \"openrouter\",\r\n {\r\n \"provider\": {\r\n \"only\": [\"moonshotai/fp8\"]\r\n }\r\n }\r\n ]\r\n ]\r\n }\r\n }\r\n ```\r\n- `groq`: Adapts requests/responses for groq API.\r\n- `maxtoken`: Sets a specific `max_tokens` value.\r\n- `tooluse`: Optimizes tool usage for certain models via `tool_choice`.\r\n- `gemini-cli` (experimental): Unofficial support for Gemini via Gemini CLI [gemini-cli.js](https://gist.github.com/musistudio/1c13a65f35916a7ab690649d3df8d1cd).\r\n- `reasoning`: Used to process the `reasoning_content` field.\r\n- `sampling`: Used to process sampling information fields such as `temperature`, `top_p`, `top_k`, and `repetition_penalty`.\r\n- `enhancetool`: Adds a layer of error tolerance to the tool call parameters returned by the LLM (this will cause the tool call information to no longer be streamed).\r\n- `cleancache`: Clears the `cache_control` field from requests.\r\n- `vertex-gemini`: Handles the Gemini API using Vertex authentication.\r\n- `chutes-glm` Unofficial support for GLM 4.5 model via Chutes [chutes-glm-transformer.js](https://gist.github.com/vitobotta/2be3f33722e05e8d4f9d2b0138b8c863).\r\n- `qwen-cli` (experimental): Unofficial support for qwen3-coder-plus model via Qwen CLI [qwen-cli.js](https://gist.github.com/musistudio/f5a67841ced39912fd99e42200d5ca8b).\r\n- `rovo-cli` (experimental): Unofficial support for gpt-5 via Atlassian Rovo Dev CLI [rovo-cli.js](https://gist.github.com/SaseQ/c2a20a38b11276537ec5332d1f7a5e53).\r\n\r\n**Custom Transformers:**\r\n\r\nYou can also create your own transformers and load them via the `transformers` field in `config.json`.\r\n\r\n```json\r\n{\r\n \"transformers\": [\r\n {\r\n \"path\": \"/User/xxx/.claude-code-router/plugins/gemini-cli.js\",\r\n \"options\": {\r\n \"project\": \"xxx\"\r\n }\r\n }\r\n ]\r\n}\r\n```\r\n\r\n#### Router\r\n\r\nThe `Router` object defines which model to use for different scenarios:\r\n\r\n- `default`: The default model for general tasks.\r\n- `background`: A model for background tasks. This can be a smaller, local model to save costs.\r\n- `think`: A model for reasoning-heavy tasks, like Plan Mode.\r\n- `longContext`: A model for handling long contexts (e.g., > 60K tokens).\r\n- `longContextThreshold` (optional): The token count threshold for triggering the long context model. Defaults to 60000 if not specified.\r\n- `webSearch`: Used for handling web search tasks and this requires the model itself to support the feature. If you're using openrouter, you need to add the `:online` suffix after the model name.\r\n- `image` (beta): Used for handling image-related tasks (supported by CCR’s built-in agent). If the model does not support tool calling, you need to set the `config.forceUseImageAgent` property to `true`.\r\n\r\n- You can also switch models dynamically in Claude Code with the `/model` command:\r\n`/model provider_name,model_name`\r\nExample: `/model openrouter,anthropic/claude-3.5-sonnet`\r\n\r\n#### Custom Router\r\n\r\nFor more advanced routing logic, you can specify a custom router script via the `CUSTOM_ROUTER_PATH` in your `config.json`. This allows you to implement complex routing rules beyond the default scenarios.\r\n\r\nIn your `config.json`:\r\n\r\n```json\r\n{\r\n \"CUSTOM_ROUTER_PATH\": \"/User/xxx/.claude-code-router/custom-router.js\"\r\n}\r\n```\r\n\r\nThe custom router file must be a JavaScript module that exports an `async` function. This function receives the request object and the config object as arguments and should return the provider and model name as a string (e.g., `\"provider_name,model_name\"`), or `null` to fall back to the default router.\r\n\r\nHere is an example of a `custom-router.js` based on `custom-router.example.js`:\r\n\r\n```javascript\r\n// /User/xxx/.claude-code-router/custom-router.js\r\n\r\n/**\r\n * A custom router function to determine which model to use based on the request.\r\n *\r\n * @param {object} req - The request object from Claude Code, containing the request body.\r\n * @param {object} config - The application's config object.\r\n * @returns {Promise} - A promise that resolves to the \"provider,model_name\" string, or null to use the default router.\r\n */\r\nmodule.exports = async function router(req, config) {\r\n const userMessage = req.body.messages.find((m) => m.role === \"user\")?.content;\r\n\r\n if (userMessage && userMessage.includes(\"explain this code\")) {\r\n // Use a powerful model for code explanation\r\n return \"openrouter,anthropic/claude-3.5-sonnet\";\r\n }\r\n\r\n // Fallback to the default router configuration\r\n return null;\r\n};\r\n```\r\n\r\n##### Subagent Routing\r\n\r\nFor routing within subagents, you must specify a particular provider and model by including `provider,model` at the **beginning** of the subagent's prompt. This allows you to direct specific subagent tasks to designated models.\r\n\r\n**Example:**\r\n\r\n```\r\nopenrouter,anthropic/claude-3.5-sonnet\r\nPlease help me analyze this code snippet for potential optimizations...\r\n```\r\n\r\n## Status Line (Beta)\r\nTo better monitor the status of claude-code-router at runtime, version v1.0.40 includes a built-in statusline tool, which you can enable in the UI.\r\n\r\n\r\nThe effect is as follows:\r\n\r\n\r\n## 🤖 GitHub Actions\r\n\r\nIntegrate Claude Code Router into your CI/CD pipeline. After setting up [Claude Code Actions](https://docs.anthropic.com/en/docs/claude-code/github-actions), modify your `.github/workflows/claude.yaml` to use the router:\r\n\r\n```yaml\r\nname: Claude Code\r\n\r\non:\r\n issue_comment:\r\n types: [created]\r\n # ... other triggers\r\n\r\njobs:\r\n claude:\r\n if: |\r\n (github.event_name == 'issue_comment' && contains(github.event.comment.body, '@claude')) ||\r\n # ... other conditions\r\n runs-on: ubuntu-latest\r\n permissions:\r\n contents: read\r\n pull-requests: read\r\n issues: read\r\n id-token: write\r\n steps:\r\n - name: Checkout repository\r\n uses: actions/checkout@v4\r\n with:\r\n fetch-depth: 1\r\n\r\n - name: Prepare Environment\r\n run: |\r\n curl -fsSL https://bun.sh/install | bash\r\n mkdir -p $HOME/.claude-code-router\r\n cat << 'EOF' > $HOME/.claude-code-router/config.json\r\n {\r\n \"log\": true,\r\n \"NON_INTERACTIVE_MODE\": true,\r\n \"OPENAI_API_KEY\": \"${{ secrets.OPENAI_API_KEY }}\",\r\n \"OPENAI_BASE_URL\": \"https://api.deepseek.com\",\r\n \"OPENAI_MODEL\": \"deepseek-chat\"\r\n }\r\n EOF\r\n shell: bash\r\n\r\n - name: Start Claude Code Router\r\n run: |\r\n nohup ~/.bun/bin/bunx @alpaca-network/claude-code-router start &\r\n shell: bash\r\n\r\n - name: Run Claude Code\r\n id: claude\r\n uses: anthropics/claude-code-action@beta\r\n env:\r\n ANTHROPIC_BASE_URL: http://localhost:3456\r\n with:\r\n anthropic_api_key: \"any-string-is-ok\"\r\n```\r\n\r\n> **Note**: When running in GitHub Actions or other automation environments, make sure to set `\"NON_INTERACTIVE_MODE\": true` in your configuration to prevent the process from hanging due to stdin handling issues.\r\n\r\nThis setup allows for interesting automations, like running tasks during off-peak hours to reduce API costs.\r\n\r\n## 📝 Further Reading\r\n\r\n- [Project Motivation and How It Works](blog/en/project-motivation-and-how-it-works.md)\r\n- [Maybe We Can Do More with the Router](blog/en/maybe-we-can-do-more-with-the-route.md)\r\n\r\n## ❤️ Support & Sponsoring\r\n\r\nIf you find this project helpful, please consider sponsoring its development. Your support is greatly appreciated!\r\n\r\n[](https://ko-fi.com/F1F31GN2GM)\r\n\r\n[Paypal](https://paypal.me/musistudio1999)\r\n\r\n\r\n \r\n ![\"Alipay\"](\"/blog/images/alipay.jpg\") | \r\n ![\"WeChat](\"/blog/images/wechat.jpg\") | \r\n
\r\n
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