The Infrastructure That Runs Production Traffic at Hyperscale, Applied to LLM Requests

C++ data plane, not a Python proxy. Handles millions of requests per second without becoming a bottleneck at scale.

Production-grade circuit breaking and outlier detection built for service-to-service traffic, applied to model providers.

Deploys as sidecar, edge proxy, regional instance, or central gateway. Same binary, any topology, no redeployment to switch.

Native OpenTelemetry emission at the proxy layer. Every request is a trace span with zero instrumentation in agent code.

Every LLM Request is Evaluated, Protected, and Logged in Six Stages

Every request your agents make passes through the same six-stage pipeline inside AI Gateway. Each stage runs in order and can short-circuit — returning a response directly — or pass to the next. The pipeline runs in the Envoy filter chain: each stage adds microseconds, not milliseconds. This is what teams mean by an LLM gateway — a single control point between your agents and model providers.

Look up the inbound API key to resolve owner, project, and team. All downstream stages use this context for quota checks, routing, and log attribution.