For the complete documentation index, see llms.txt. Markdown versions of all docs pages are available by appending .md to any docs URL.
Documentation
Install, set up, secure, and operate agentgateway on Kubernetes.
Get started with agentgateway on Kubernetes, then dig into setup, LLM and MCP consumption, traffic management, security, observability, and operations.
Get started
Install and run agentgateway, or route traffic to MCP, LLM, or HTTP backends.
About
Learn about agentgateway components, architecture, and policies.
Install
Install agentgateway on Kubernetes.
Gateway setup
Set up an agentgateway proxy and configure its listeners and customizations.
LLM consumption
Route and manage traffic to LLM providers through a unified AI gateway interface.
Inference routing
Route AI inference requests to LLM workloads using the Kubernetes Gateway API Inference Extension.
MCP connectivity
Route and secure traffic to Model Context Protocol (MCP) servers through agentgateway.
Agent connectivity
Connect agentgateway proxies to AI agents using A2A and MCP protocols.
Traffic management
Manage traffic with routing, matching, buffering, transformations, and traffic splitting.
Resiliency
Configure timeouts, retries, and connection policies for resilient traffic.
Security
Secure your agentgateway deployment with authentication, authorization, and TLS policies.
Observability
Tracing, prompt logging, cost tracking, and metrics for your gateways.
Operations
Manage your agentgateway lifecycle, including upgrades and operational tasks.
Migrate from Ingress
Migrate from Ingress NGINX to Gateway API and agentgateway using the ingress2gateway tool
