LunarGate Gateway

Self-hosted AI gateway

Run one OpenAI-compatible endpoint in your infrastructure and route requests across multiple LLM providers with fallback, retries, caching, hot-reloadable config, and optional observability export.

Get started Browse runnable examples Read the configuration reference

Best entry path:

• start with Homepage quickstart if you want the same install -> config -> run -> client flow as the marketing site
• jump to Examples overview if you learn better from runnable projects
• keep Configuration overview open when you begin editing real YAML

Get running fast
Install LunarGate, save one config, run it, and call it with a normal OpenAI client.

See real examples
Browse Python, Docker Compose, Node/Express, Streamlit, and lunargate/auto examples.

Learn autorouting
Understand how lunargate/auto and model-selection headers drive tier-based routing.

Why teams use it

• One endpoint for every app

Keep your app code on the OpenAI API shape and swap providers behind the gateway.

• Resilience built in

Route by headers, retry transient failures, and cascade to fallback targets automatically.

• Operated from config

Change routing rules, rate limits, and provider weights without rebuilding the binary.

• Observability without lock-in

Export metrics only by default, or opt into prompt and response sharing for request inspection.

The request path

Request -> Auth edge -> Rate Limit -> Cache -> Route Match -> Load Balance
        -> Retry -> Circuit Breaker -> Provider Translation -> LLM Call
        -> Response Translation -> Metrics -> Optional Data Sharing -> Response

Where to actually start:

• use Getting started for the shortest install -> config -> run -> client path
• use Docker Compose if you want a container-first setup
• use Examples overview if you prefer runnable projects over one-page setup instructions

What is in scope today

• OpenAI-compatible POST /v1/chat/completions
• Model listing via GET /v1/models
• Health and metrics endpoints
• Multi-provider routing and fallback
• In-memory rate limiting and caching
• Hot-reloadable YAML config
• Optional SaaS observability export

Important security note

Warning

The gateway currently does not implement inbound client authentication. Run it inside a trusted network or behind an auth-enforcing edge such as an API gateway, reverse proxy, or service mesh.

Documentation map

1. Start with Homepage quickstart for the same install -> config -> run -> client flow used on the main site.
2. Go to Examples overview for runnable Python, Node, Streamlit, and Docker Compose apps based on gateway-examples/.
3. Read lunargate/auto and autorouting if you want the gateway to choose model tiers from one stable client model.
4. Use Routing and fallback for route ordering, fallback chains, and load-balancing strategy.
5. Keep Configuration overview and the detailed config pages open while editing YAML.
6. Read Observability and data sharing before enabling prompt or response export.