An artificial intelligence 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.
Acronyms and aliases
AI agent gateway acronymagent gateway variant
Related terms
Frequently asked questions
How is an agent gateway different from a model gateway?
A model gateway mediates inference requests, while an agent gateway also manages sessions, tool access, multi-step execution and agent traces.
Why centralize agent access through a gateway?
Centralization provides consistent authentication, permissions, telemetry, limits and policy enforcement across many agent applications.
