Building Your Own AI Proxy: Route, Cache, and Monitor LLM Requests in TypeScript

Building Your Own AI Proxy: Route, Cache, and Monitor LLM Requests in TypeScript In the rapidly evolving world of AI, Large Language Models (LLMs) have become indispensable tools for a myriad of applications. However, integrating and managing these powerful models in production environments comes with its own set of challenges: spiraling costs, vendor lock-in, inconsistent APIs, and a lack of observability. This is where an AI proxy becomes a game-changer. At Juspay, a fintech company dealing with high-volume, mission-critical transactions, we've learned the hard way that robust infrastructure is paramount. Our experience building and scaling payment systems has directly informed our approach to AI integration, leading to the creation of NeuroLink—our universal AI development platform. NeuroLink isn't just an SDK; it's the foundation upon which you can build sophisticated AI infrastructure, including your own AI proxy. This article will guide you through the process of building a power