Your voice agent is mid-conversation when Anthropic's API returns a 529 overloaded error. The user is waiting. Your code throws. The call drops. This is the failure mode most voice pipelines aren't built for—and it's getting worse, not better. As more applications move to a single LLM provider, a regional outage at any one of them stalls every downstream voice agent that depends on it. The fix isn't more retries on the same model; it's an automatic switch to a different one. This tutorial walks you through adding automatic LLM fallbacks to a voice pipeline using AssemblyAI's LLM Gateway. With one extra parameter in your request, the Gateway will automatically retry failed calls on a backup model—Claude to Gemini to GPT—without you writing a line of retry logic. By the end, you'll have a runnable Python pipeline that transcribes live audio with Universal-3 Pro Streaming, routes the transcript through a primary LLM with a fallback chain, and stays online when any single provider does not.…