Claude Code Router
Why Choose Claude Code Router?
You should choose this if you need mad flexibility in your AI coding setup. It lets you route requests to different models depending on what you need—whether it’s heavy reasoning or just quick background tasks—while keeping costs down. Plus, it’s super customizable and plays nice with other tools, making it a solid pick for anyone wanting full control over their AI coding pipeline.
Enhances AI coding workflow with flexible model routing and cost optimization.
Claude Code Router Introduction
What is Claude Code Router?
Claude Code Router is an open-source Node.js command-line interface (CLI) tool that extends Anthropic's Claude Code CLI. It serves as a foundation for coding infrastructure, enabling users to route AI coding requests to various large language models (LLMs) from different providers such as OpenRouter, DeepSeek, Ollama, Google Gemini, and Volcengine. This tool offers enhanced flexibility and customization for AI coding workflows, allowing users to tailor coding assistance to specific needs, optimize for different tasks (e.g., background processing, high-reasoning, long contexts), and manage costs by selecting appropriate models. It builds upon Anthropic's official tools, offering additional customization options and dynamic model switching.
How to use Claude Code Router?
To use Claude Code Router, first ensure Node.js and npm are installed. Then, install Anthropic’s Claude Code CLI by running `npm install -g @anthropic-ai/claude-code`. Next, install the router itself with `npm install -g @musistudio/claude-code-router`, which adds the `ccr` command. Launch the router by running `ccr code`. Users can optionally configure routing rules and providers by creating or editing the `~/.claude-code-router/config.json` file. This configuration allows defining API keys, base URLs, available models, and specific roles for models (e.g., default, background, think, longContext). Once set up, users interact with Claude Code as normal, and the router intercepts and forwards requests based on the configuration. Models can also be switched dynamically at runtime using the `/model provider,model` command.
Why Choose Claude Code Router?
You should choose this if you need mad flexibility in your AI coding setup. It lets you route requests to different models depending on what you need—whether it’s heavy reasoning or just quick background tasks—while keeping costs down. Plus, it’s super customizable and plays nice with other tools, making it a solid pick for anyone wanting full control over their AI coding pipeline.
Claude Code Router Features
AI Code Assistant
- ✓Multi-model Routing: Route queries to any configured provider or model, with dynamic switching using commands like `/model provider,model`.
- ✓Specialized Model Roles: Designate specific models for background tasks, high-reasoning tasks (think mode), and handling long contexts.
- ✓Extensibility: Supports integration with image and web-search tools, detailed logging, and GitHub Actions.
- ✓Flexible Configuration: Fully customizable via a JSON config file (`~/.claude-code-router/config.json`) for providers and routing rules.
- ✓Cost Optimization: Route requests to more cost-effective models for specific tasks to reduce overall AI coding assistance costs.
FAQ?
Pricing
Pricing information not available