AI gateways: why and how

This article discusses AI gateways, drawing parallels to traditional API gateways. It explains how AI gateways proxy requests between AI clients and LLM backends, enabling features like centralized AI management, compliance enforcement, cost control via intelligent routing and caching, vendor lock-in avoidance, scalability, and observability. The author shares a personal use case involving Claude Code and Mistral AI's Devstral to illustrate practical benefits. It also lists available AI gateways such as LiteLLM and Bifrost, highlighting their capabilities for unified API access, failover, and load balancing. The content is focused on technology and software engineering, specifically AI infrastructure and integration.