2025-03-01 10:30:26 +08:00
2025-02-25 16:44:06 +08:00
2025-03-01 10:30:26 +08:00
2025-02-26 14:41:20 +08:00
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Claude Code Router

This is a repository for testing routing Claude Code requests to different models.

demo.png

Warning! This project is for testing purposes and may consume a lot of tokens! It may also fail to complete tasks!

Implemented

  • Using the qwen2.5-coder-3b-instruct model as the routing dispatcher (since its currently free on Alibaba Clouds official website)

  • Using the qwen-max-0125 model as the tool invoker

  • Using deepseek-v3 as the coder model

  • Using deepseek-r1 as the reasoning model

Thanks to the free qwen2.5-coder-3b-instruct model from Alibaba and deepseeks KV-Cache, we can significantly reduce the cost of using Claude Code. Make sure to set appropriate ignorePatterns for the project. See: https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview

Usage

  1. Install Claude Code
npm install -g @anthropic-ai/claude-code
  1. Clone this repo
git clone https://github.com/musistudio/claude-code-reverse.git
  1. Install dependencies
npm i
  1. Start server
# Alternatively, you can create an .env file in the repo directory

## disable router
ENABLE_ROUTER=false
OPENAI_API_KEY=""
OPENAI_BASE_URL=""
OPENAI_MODEL=""

## enable router
ENABLE_ROUTER=true
export TOOL_AGENT_API_KEY=""
export TOOL_AGENT_BASE_URL=""
export TOOL_AGENT_MODEL="qwen-max-2025-01-25"

export CODER_AGENT_API_KEY=""
export CODER_AGENT_BASE_URL="https://api.deepseek.com"
export CODER_AGENT_MODEL="deepseek-chat"

export THINK_AGENT_API_KEY=""
export THINK_AGENT_BASE_URL="https://api.deepseek.com"
export THINK_AGENT_MODEL="deepseek-reasoner"

export ROUTER_AGENT_API_KEY=""
export ROUTER_AGENT_BASE_URL=""
export ROUTER_AGENT_MODEL="qwen2.5-coder-3b-instruct"

node index.mjs
  1. Set environment variable to start claude code
export DISABLE_PROMPT_CACHING=1
export ANTHROPIC_AUTH_TOKEN="test"
export ANTHROPIC_BASE_URL="http://127.0.0.1:3456"
export API_TIMEOUT_MS=600000
claude
Description
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.
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