Kong AI Gateway Developer Guide

Kong AI Gateway is presented as a specialized reverse proxy that centralizes LLM provider credentials, routing, format translation, policy enforcement, usage analytics, and token-based rate limiting, allowing applications to retain OpenAI-compatible request formats while using a gateway-defined model name and base URL. The guide explains how to deploy an AI Gateway on Kong Konnect by creating a control plane and self-managed local Docker data plane, storing an OpenAI API key securely in a Konnect Vault, configuring an OpenAI provider that retrieves the credential from the vault, and creating a provider-neutral model such as `chat-default` that routes chat-completion requests to `gpt-4o`. It offers equivalent configuration paths through the Konnect UI or an AI coding agent using Kong’s MCP server, while emphasizing that agents should not receive provider keys. After testing a successful proxied request, users can apply the AI Rate Limiting Advanced policy to measure usage by provider-reported tokens rather than request count, with a sample sliding limit of 60 tokens per minute that returns a 429 response when exceeded. The material also warns that the local example endpoint is unauthenticated and should be protected before exposure, and points to further capabilities including caller authentication, per-consumer budgets, PII protection, cost management, monitoring, MCP tools, and version-controlled configuration.

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