When building AI-powered applications, it's easy to get started with a single large language model (LLM) provider. A quick pip install openai and you're off to the races. But what happens when that single provider experiences an outage? Or suddenly doubles its prices? Or when a competitor releases a model that's significantly better for a specific task or much cheaper?
Relying on a single AI model is a single point of failure. It's an AI monoculture that leaves your application vulnerable to outages, performance degradation, and unexpected cost increases. This isn't just a theoretical problem; it's a harsh reality that many developers face as AI becomes more central to their products.
This article will guide you through building a **res
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