Claude Code Proxy

A transparent proxy for capturing and visualizing in-flight Claude Code requests and conversations, with optional agent routing to different LLM providers.

What It Does

Claude Code Proxy serves three main purposes:

1. Claude Code Proxy: Intercepts and monitors requests from Claude Code (claude.ai/code) to the Anthropic API, allowing you to see what Claude Code is doing in real-time
2. Conversation Viewer: Displays and analyzes your Claude API conversations with a beautiful web interface
3. Agent Routing (Optional): Routes specific Claude Code agents to different LLM providers (e.g., route code-reviewer agent to GPT-4o)

Features

• Transparent Proxy: Routes Claude Code requests through the monitor without disruption
• Agent Routing (Optional): Map specific Claude Code agents to different LLM models
• Request Monitoring: SQLite-based logging of all API interactions
• Live Dashboard: Real-time visualization of requests and responses
• Conversation Analysis: View full conversation threads with tool usage
• Easy Setup: One-command startup for both services

Quick Start

Prerequisites

• Option 1: Go 1.20+ and Node.js 18+ (for local development)
• Option 2: Docker (for containerized deployment)
• Claude Code

Installation

Option 1: Local Development

1. Clone the repository

   git clone https://github.com/seifghazi/claude-code-proxy.git
   cd claude-code-proxy

2. Configure the proxy

   cp config.yaml.example config.yaml

3. Install and run (first time)

   make install  # Install all dependencies
   make dev      # Start both services

4. Subsequent runs (after initial setup)

   make dev
   # or
   ./run.sh

Option 2: Docker

1. Clone the repository

   git clone https://github.com/seifghazi/claude-code-proxy.git
   cd claude-code-proxy

2. Configure the proxy

   cp config.yaml.example config.yaml
   # Edit config.yaml as needed

3. Build and run with Docker

   # Build the image
   docker build -t claude-code-proxy .
   
   # Run with default settings
   docker run -p 3001:3001 -p 5173:5173 claude-code-proxy

4. Run with persistent data and custom configuration

   # Create a data directory for persistent SQLite database
   mkdir -p ./data
   
   # Option 1: Run with config file (recommended)
   docker run -p 3001:3001 -p 5173:5173 \
     -v ./data:/app/data \
     -v ./config.yaml:/app/config.yaml:ro \
     claude-code-proxy
   
   # Option 2: Run with environment variables
   docker run -p 3001:3001 -p 5173:5173 \
     -v ./data:/app/data \
     -e ANTHROPIC_FORWARD_URL=https://api.anthropic.com \
     -e PORT=3001 \
     -e WEB_PORT=5173 \
     claude-code-proxy

5. Docker Compose (alternative)

   # docker-compose.yml
   version: '3.8'
   services:
     claude-code-proxy:
       build: .
       ports:
         - "3001:3001"
         - "5173:5173"
       volumes:
         - ./data:/app/data
         - ./config.yaml:/app/config.yaml:ro  # Mount config file
       environment:
         - ANTHROPIC_FORWARD_URL=https://api.anthropic.com
         - PORT=3001
         - WEB_PORT=5173
         - DB_PATH=/app/data/requests.db

   Then run: docker-compose up

Using with Claude Code

To use this proxy with Claude Code, set:

export ANTHROPIC_BASE_URL=http://localhost:3001

Then launch Claude Code using the claude command.

This will route Claude Code's requests through the proxy for monitoring.

Access Points

• Web Dashboard: http://localhost:5173
• API Proxy: http://localhost:3001
• Health Check: http://localhost:3001/health

Advanced Usage

Running Services Separately

If you need to run services independently:

# Run proxy only
make run-proxy

# Run web interface only (in another terminal)
make run-web

Available Make Commands

make install    # Install all dependencies
make build      # Build both services
make dev        # Run in development mode
make clean      # Clean build artifacts
make db-reset   # Reset database
make help       # Show all commands

Configuration

Basic Setup

Create a config.yaml file (or copy from config.yaml.example):

server:
  port: 3001

providers:
  anthropic:
    base_url: "https://api.anthropic.com"
    
  openai: # if enabling subagent routing
    api_key: "your-openai-key"  # Or set OPENAI_API_KEY env var

storage:
  db_path: "requests.db"

Subagent Configuration (Optional)

The proxy supports routing specific Claude Code agents to different LLM providers. This is an optional feature that's disabled by default.

Enabling Subagent Routing

1. Enable the feature in config.yaml:

subagents:
  enable: true  # Set to true to enable subagent routing
  mappings:
    code-reviewer: "gpt-4o"
    data-analyst: "o3"
    doc-writer: "gpt-3.5-turbo"

2. Set up your Claude Code agents following Anthropic's official documentation:

   • 📖 Claude Code Subagents Documentation

3. How it works: When Claude Code uses a subagent that matches one of your mappings, the proxy will automatically route the request to the specified model instead of Claude.

Practical Examples

Example 1: Code Review Agent → GPT-4o

# config.yaml
subagents:
  enable: true
  mappings:
    code-reviewer: "gpt-4o"

Use case: Route code review tasks to GPT-4o for faster responses while keeping complex coding tasks on Claude.

Example 2: Reasoning Agent → O3

# config.yaml
subagents:
  enable: true
  mappings:
    deep-reasoning: "o3"

Use case: Send complex reasoning tasks to O3 while using Claude for general coding.

Example 3: Multiple Agents

# config.yaml
subagents:
  enable: true
  mappings:
    streaming-systems-engineer: "o3"
    frontend-developer: "gpt-4o-mini"
    security-auditor: "gpt-4o"

Use case: Different specialists for different tasks, optimizing for speed/cost/quality.

Environment Variables

Override config via environment:

• PORT - Server port
• OPENAI_API_KEY - OpenAI API key
• DB_PATH - Database path
• SUBAGENT_MAPPINGS - Comma-separated mappings (e.g., "code-reviewer:gpt-4o,data-analyst:o3")

Docker Environment Variables

All environment variables can be configured when running the Docker container:

Variable	Default	Description
PORT	3001	Proxy server port
WEB_PORT	5173	Web dashboard port
READ_TIMEOUT	600	Server read timeout (seconds)
WRITE_TIMEOUT	600	Server write timeout (seconds)
IDLE_TIMEOUT	600	Server idle timeout (seconds)
ANTHROPIC_FORWARD_URL	https://api.anthropic.com	Target Anthropic API URL
ANTHROPIC_VERSION	2023-06-01	Anthropic API version
ANTHROPIC_MAX_RETRIES	3	Maximum retry attempts
DB_PATH	/app/data/requests.db	SQLite database path

Example with custom configuration:

docker run -p 3001:3001 -p 5173:5173 \
  -v ./data:/app/data \
  -e PORT=8080 \
  -e WEB_PORT=3000 \
  -e ANTHROPIC_FORWARD_URL=https://api.anthropic.com \
  -e DB_PATH=/app/data/custom.db \
  claude-code-proxy

Project Structure

claude-code-proxy/
├── proxy/                  # Go proxy server
│   ├── cmd/               # Application entry points
│   ├── internal/          # Internal packages
│   └── go.mod            # Go dependencies
├── web/                   # React Remix frontend
│   ├── app/              # Remix application
│   └── package.json      # Node dependencies
├── run.sh                # Start script
├── .env.example          # Environment template
└── README.md            # This file

Features in Detail

Request Monitoring

• All API requests logged to SQLite database
• Searchable request history
• Request/response body inspection
• Conversation threading

Web Dashboard

• Real-time request streaming
• Interactive request explorer
• Conversation visualization
• Performance metrics

License

MIT License - see LICENSE for details.