An AI agent gateway gives applications a consistent entry point for running agents and their tools. It can authenticate requests, enforce permissions, record traces and direct work to approved runtimes or model services.
Because agents act across multiple steps, a gateway must capture more than one model call. Durable sessions, tool policies, cost limits and full execution telemetry help teams govern and evaluate the agent's actual workflow.
ELI5
An agent gateway is a shared control layer between applications and the models, tools, data, and runtimes used by AI agents. It provides one managed entry point for authentication, permissions, routing, and records.
For example, every company agent can use the gateway to call approved tools while the gateway records costs and actions and blocks unauthorized requests. It tracks the whole multi-step run, not only one model response.
