router-maestro 0.1.23

Multi-model routing and load balancing system with OpenAI-compatible API

Router-Maestro

Multi-model routing router with OpenAI-compatible and Anthropic-compatible APIs. Route LLM requests across GitHub Copilot, OpenAI, Anthropic, and custom providers with intelligent fallback and priority-based selection.

TL;DR

Use GitHub Copilot's models (Claude, GPT-4o, o3-mini) with Claude Code or any OpenAI/Anthropic-compatible client.

Router-Maestro acts as a proxy that gives you access to models from multiple providers through a unified API. Authenticate once with GitHub Copilot, and use its models anywhere that supports OpenAI or Anthropic APIs.

Features

• Multi-provider support: GitHub Copilot (OAuth), OpenAI, Anthropic, and custom OpenAI-compatible endpoints
• Intelligent routing: Priority-based model selection with automatic fallback on failure
• Dual API compatibility: Both OpenAI (/v1/...) and Anthropic (/v1/messages) API formats
• Gemini API compatibility: Gemini REST API format (/api/gemini/v1beta/...) for Gemini CLI/SDK
• Cross-provider translation: Seamlessly route OpenAI requests to Anthropic providers and vice versa
• Configuration hot-reload: Auto-reload config files every 5 minutes without server restart
• CLI management: Full command-line interface for configuration and server control
• Docker ready: Production-ready Docker images with Traefik integration

Table of Contents

• Quick Start
• Core Concepts
  • Model Identification
  • Auto-Routing
  • Priority & Fallback
  • Cross-Provider Translation
  • Contexts
• CLI Reference
• API Reference
• Configuration
• Deployment
• License
• Changelog

Quick Start

Get up and running in 4 steps:

https://github.com/user-attachments/assets/8f60ec7a-4fbe-4342-9408-084073a4d48d

1. Start the Server

Docker (recommended)

docker run -d -p 8080:8080 \
  -v ~/.local/share/router-maestro:/home/maestro/.local/share/router-maestro \
  -v ~/.config/router-maestro:/home/maestro/.config/router-maestro \
  likanwen/router-maestro:latest

Install locally

pip install router-maestro
router-maestro server start --port 8080

2. Set Context (for Docker or Remote)

When running via Docker in remote VPS, set up a context to communicate with the containerized server:

pip install router-maestro  # Install CLI locally
router-maestro context add docker --endpoint http://localhost:8080
router-maestro context set docker

What's a context? A context is a named connection profile (endpoint + API key) that lets you manage local or remote Router-Maestro servers. See Contexts for details.

3. Authenticate with GitHub Copilot

router-maestro auth login github-copilot

# Follow the prompts:
#   1. Visit https://github.com/login/device
#   2. Enter the displayed code
#   3. Authorize "GitHub Copilot Chat"

4. Configure Your CLI Tool

Claude Code

router-maestro config claude-code
# Follow the wizard to select models

OpenAI Codex (CLI, Extension, App)

router-maestro config codex
# Follow the wizard to select models

Gemini CLI

router-maestro config gemini
# Follow the wizard to select models

After configuration, set the API key environment variable:

# Get your API key
router-maestro server show-key

# Set the environment variable (add to your shell profile)
export ROUTER_MAESTRO_API_KEY="your-api-key-here"

Done! Now run claude or codex and your requests will route through Router-Maestro.

For production deployment, see the Deployment section.

Core Concepts

Model Identification

Models are identified using the format {provider}/{model-id}:

Example	Description
github-copilot/gpt-4o	GPT-4o via GitHub Copilot
github-copilot/claude-sonnet-4	Claude Sonnet 4 via GitHub Copilot
openai/gpt-4-turbo	GPT-4 Turbo via OpenAI
anthropic/claude-3-5-sonnet	Claude 3.5 Sonnet via Anthropic

Fuzzy matching: You don't need to type exact model IDs. Router-Maestro will fuzzy-match common variations:

You type	Resolves to
Opus 4.6	claude-opus-4-6-20250617
opus-4-6	claude-opus-4-6-20250617
claude-sonnet-4.5	claude-sonnet-4-5-20250929
anthropic/sonnet-4-5	Sonnet 4.5 via Anthropic only

When multiple versions match, the newest (by date suffix) is selected automatically.

Auto-Routing

Use the special model name router-maestro for automatic provider selection:

{"model": "router-maestro", "messages": [...]}

The router will try models in priority order and fall back to the next on failure.

Priority & Fallback

Priority determines which model is tried first when using auto-routing.

# Set priorities
router-maestro model priority github-copilot/claude-sonnet-4 --position 1
router-maestro model priority github-copilot/gpt-4o --position 2

# View priorities
router-maestro model priority list

Fallback triggers when a request fails with a retryable error (429, 5xx):

Strategy	Behavior
priority	Try next model in priorities list
same-model	Try same model on different provider
none	Fail immediately

Configure in ~/.config/router-maestro/priorities.json:

{
  "priorities": ["github-copilot/claude-sonnet-4", "github-copilot/gpt-4o"],
  "fallback": {"strategy": "priority", "maxRetries": 2}
}

Cross-Provider Translation

Router-Maestro automatically translates between OpenAI and Anthropic formats:

# Use Anthropic API with OpenAI provider
POST /v1/messages  {"model": "openai/gpt-4o", ...}

# Use OpenAI API with Anthropic provider
POST /v1/chat/completions  {"model": "anthropic/claude-3-5-sonnet", ...}

Contexts

A context is a named connection profile that stores an endpoint URL and API key. Contexts let you manage multiple Router-Maestro deployments from a single CLI.

Context	Use Case
local	Default context for router-maestro server start
docker	Connect to a local Docker container
my-vps	Connect to a remote VPS deployment

# Add a context
router-maestro context add my-vps --endpoint https://api.example.com --api-key xxx

# Switch contexts
router-maestro context set my-vps

# All CLI commands now target the remote server
router-maestro model list

CLI Reference

Server

Command	Description
server start --port 8080	Start the server
server stop	Stop the server
server info	Show server status

Authentication

Command	Description
auth login [provider]	Authenticate with a provider
auth logout <provider>	Remove authentication
auth list	List authenticated providers

Models

Command	Description
model list	List available models
model refresh	Refresh models cache
model priority list	Show priorities
model priority <model> --position <n>	Set priority
model fallback show	Show fallback config

Contexts (Remote Management)

Command	Description
context show	Show current context
context list	List all contexts
context set <name>	Switch context
context add <name> --endpoint <url> --api-key <key>	Add remote context
context test	Test connection

Other

Command	Description
config claude-code	Generate Claude Code settings
config codex	Generate Codex config (CLI/Extension/App)
config gemini	Generate Gemini CLI .env

API Reference

OpenAI-Compatible

# Chat completions
POST /v1/chat/completions
{
  "model": "github-copilot/gpt-4o",
  "messages": [{"role": "user", "content": "Hello"}],
  "stream": false
}

# List models
GET /v1/models

Anthropic-Compatible

# Messages
POST /v1/messages
POST /api/anthropic/v1/messages
{
  "model": "github-copilot/claude-sonnet-4",
  "max_tokens": 1024,
  "messages": [{"role": "user", "content": "Hello"}]
}

# Count tokens
POST /v1/messages/count_tokens

Admin

POST /api/admin/models/refresh   # Refresh model cache

Gemini-Compatible

# Generate content (non-streaming)
POST /api/gemini/v1beta/models/{model}:generateContent
{
  "contents": [{"role": "user", "parts": [{"text": "Hello"}]}]
}

# Stream generate content (SSE)
POST /api/gemini/v1beta/models/{model}:streamGenerateContent?alt=sse
{
  "contents": [{"role": "user", "parts": [{"text": "Hello"}]}]
}

# Count tokens
POST /api/gemini/v1beta/models/{model}:countTokens
{
  "contents": [{"role": "user", "parts": [{"text": "Hello"}]}]
}

Configuration

File Locations

Following XDG Base Directory specification:

Type	Path	Contents
Config	~/.config/router-maestro/
	providers.json	Custom provider definitions
	priorities.json	Model priorities and fallback
	contexts.json	Deployment contexts
Data	~/.local/share/router-maestro/
	auth.json	OAuth tokens
	server.json	Server state

Custom Providers

Add OpenAI-compatible providers in ~/.config/router-maestro/providers.json:

{
  "providers": {
    "ollama": {
      "type": "openai-compatible",
      "baseURL": "http://localhost:11434/v1",
      "models": {
        "llama3": {"name": "Llama 3"},
        "mistral": {"name": "Mistral 7B"}
      }
    }
  }
}

Set API keys via environment variables (uppercase, hyphens → underscores):

export OLLAMA_API_KEY="sk-..."

Hot-Reload

Configuration files are automatically reloaded every 5 minutes:

File	Auto-Reload
priorities.json	✓ (5 min)
providers.json	✓ (5 min)
auth.json	Requires restart

Force immediate reload:

router-maestro model refresh

Deployment

Docker Deployment

Deploy to a VPS with Docker Compose:

# On your VPS
git clone https://github.com/likanwen/router-maestro.git
cd router-maestro
cp .env.example .env  # Edit with your domain
docker compose up -d

Configure .env:

DOMAIN=api.example.com
CF_DNS_API_TOKEN=your_cloudflare_token  # For HTTPS
ACME_EMAIL=[e-mail]
ROUTER_MAESTRO_API_KEY=$(openssl rand -hex 32)

Authenticate inside the container:

docker compose exec router-maestro /bin/sh
router-maestro auth login github-copilot
# Follow OAuth flow, then exit

Remote Management

Manage your VPS deployment from your local machine using contexts:

# Add remote context
router-maestro context add my-vps \
  --endpoint https://api.example.com \
  --api-key your_api_key

# Switch to remote
router-maestro context set my-vps

# Now all commands target the VPS
router-maestro model list

HTTPS with Traefik

The Docker Compose setup includes Traefik for automatic HTTPS via Let's Encrypt with DNS challenge.

For detailed configuration options including:

• Other DNS providers (Route53, DigitalOcean, etc.)
• HTTP challenge setup
• Traefik dashboard configuration

See docs/deployment.md.

License

MIT License - see LICENSE file.

Changelog

See CHANGELOG.md for release history.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.