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An AI gateway is the control layer between applications and model providers. This guide breaks down the features and capabilities enterprise-grade AI workloads need, from routing and failover to budgets, guardrails, audit logs, MCP governance, and in-VPC deployment.

An open source AI gateway gives a startup one self-hosted layer for routing, budgets, and failover across LLM providers. This guide compares Bifrost, LiteLLM, Kong AI Gateway, Agent Router, and agentgateway on setup effort, cost control, and how each scales.

OpenRouter competitors are AI gateways that give teams one API across many LLM providers without routing every prompt through a hosted third party. This guide ranks five of them, Bifrost, LiteLLM, Kong AI Gateway, Cloudflare AI Gateway, and Vercel AI Gateway, on data control, cost, and governance.

Running Claude Code with non-Anthropic models requires a gateway that exposes an Anthropic-compatible endpoint and translates requests. This comparison covers Bifrost, LiteLLM, OpenRouter, Cloudflare AI Gateway, and AWS Bedrock, and which fits each team.

An AI gateway routes Codex CLI to non-OpenAI models by exposing an OpenAI-compatible endpoint and translating each request. This comparison ranks Bifrost, LiteLLM, Kong AI Gateway, and OpenRouter on routing, governance, deployment, and Codex CLI setup.