As AI applications grow, they often depend on multiple models, providers, and tools. Managing these integrations directly inside application code quickly becomes messy. Each provider has different APIs, rate limits, pricing models, and reliability characteristics, making the system harder to maintain and scale.

The AI Gateway Pattern solves this by introducing a central layer between your application and AI providers. Instead of calling models directly, your application routes all requests through a gateway that handles model selection, routing, retries, logging, cost tracking, and access control.

In this chapter, we explore how the AI Gateway Pattern simplifies AI infrastructure and makes systems more reliable and easier to manage.