How to add automatic LLM fallbacks to your voice pipeline

Short summary

When your voice agent hits a provider outage or rate limit, a single failed LLM call means dead air on the phone. This tutorial shows how to implement automatic fallbacks in voice pipelines using AssemblyAI's LLM Gateway—route through a primary model like Kimi, then automatically retry on Claude or Gemini if the primary fails. Includes complete working Python code with streaming speech-to-text and transparent multi-model routing.

• •Implement automatic LLM fallbacks to handle provider outages, rate limits, and model deprecations
• •AssemblyAI's LLM Gateway routes requests transparently to backup models without custom retry logic
• •Complete Python tutorial with working code for voice agent transcription and multi-model response routing

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