The terms LLM proxy and AI gateway are often used interchangeably, but they describe different levels of responsibility. A proxy primarily forwards traffic. A gateway can become an operational control point around that traffic.
What an LLM proxy does
A proxy gives applications an intermediary endpoint. It can hide provider credentials, normalize URLs, add basic authentication or forward a compatible request to another service.
That can be enough when the goal is simply to centralize network access or avoid exposing provider keys in many applications.
What changes when the layer becomes a gateway
A gateway takes responsibility for decisions and telemetry around the request path. It may route between providers, enforce policies, capture tokens and cost, apply retries or fallback, and attach workload identity to each request.
The distinction is less about a specific feature checklist and more about whether the layer is passive transport or an operational system.
Why the difference matters later
A lightweight proxy can be easy to build. The complexity appears when teams ask it to answer production questions.
Which application is spending the most? Which provider is failing? Can this workload use another model? Did retries increase after a release? Who changed the routing policy? Each new question requires persistent telemetry, data models, UI and operational controls.
You can start as a proxy and grow into a gateway
The architecture does not have to be decided all at once. A team may begin with one forwarding endpoint, then add provider abstraction, request capture and policies as usage grows.
The important design choice is whether the request path can evolve without forcing every application to change again.
A useful rule of thumb
If the layer only answers 'Where should I forward this request?', it behaves like a proxy. If it also answers 'What happened, what did it cost, was it reliable and what policy should apply?', it is operating as a gateway.
CLYVEL
Put the operating model into practice.
Clyvel connects production AI traffic, cost, reliability and governance in one operations layer.
Explore Clyvel AI GatewaySources and further reading
Clyvel Research uses primary technical and vendor references wherever a claim benefits from external context.
Read the research methodology