LLM Gateway for AI SaaS: Route Models, Cache Prompts, and Control Agent Spend

Your AI SaaS app does not need model calls first. It needs a control plane. Once users, tenants, background jobs, RAG pipelines, and agents all start calling models directly, every small mistake gets expensive. A retry loop becomes a bill. A slow provider becomes a ticket. A prompt injection hidden inside a fetched web page becomes the next model instruction. An LLM gateway gives you one place to route, cache, meter, protect, and debug those calls before they become production chaos.