When Your AI Service Goes Down: Building a Multi-Model Fallback System

I remember the exact moment my weekend project turned into a nightmare. I'd been building a chatbot for a niche developer community, and everything was running smoothly with OpenAI's GPT-4. Then, without warning, the API started returning 503 errors. My app went silent. Users flooded my inbox. And I had no backup plan. That afternoon, I learned the hard way: relying on a single AI provider is a single point of failure. What I Tried First (And Why It Hurt) My immediate reaction was t...