Agent Gateway

What is an agent gateway?

When your system runs dozens or hundreds of AI agents — each calling models, tools and data — management turns into chaos. An agent gateway is the single gate in front of all of them. Every request enters here first, gets handled for identity, permissions, rate limits, routing and logging, then is passed along to the right place.

What does it actually handle?

One entry point
Clients don't memorize every agent's address; they just talk to the gateway.
Auth and permissions
Who's calling, are they allowed, and which agents can they reach — the gateway checks it all.
Routing
By task type, load and cost, it sends each request to the most suitable agent or model.
Rate limiting and circuit breaking
It stops one agent or client from hammering the system, and cuts the breaker when something goes wrong.
Monitoring and logs
Since all traffic flows through it, the gateway is a natural vantage point for metering usage and debugging.

How is it different from a normal API gateway?

A regular API gateway handles classic HTTP endpoints. An agent gateway also has to cope with AI-specific needs — streaming output, long-running tasks, multi-turn conversations, tool calls. That means handling SSE streams, waiting out an agent that runs for minutes, and tracking token spend.

Why it matters more and more

As agents grow from a couple of demos into real production systems, no gateway means messy permissions, runaway costs and bugs you can't trace. A gateway is the infrastructure that turns agents from toys into something you can actually operate.

Bottom line: an agent gateway is the dispatch room for all your agents — orderly traffic, visible costs, debuggable failures.