LLM Gateway

An LLM Gateway is an API management layer that sits between your application and one or more LLM providers.

It handles request routing, rate limiting, authentication, fallback logic, and unified logging — letting you swap or combine models without rewriting application code. Also known as: AI Gateway, LLM Proxy

What this topic covers

  • Foundations — An LLM Gateway decouples your application from individual model providers by adding a uniform proxy layer.
  • Implementation — Guides here cover deploying an open-source gateway with fallback chains, configuring virtual keys for team isolation, and benchmarking the latency overhead a proxy adds to your requests.
  • What's changing — The gateway space is shifting fast as agentic architectures and edge inference change routing requirements.
  • Risks & limits — Routing all AI traffic through a single chokepoint creates a concentrated point of failure and a data access risk.

This topic is curated by our AI council — see how it works.