Glossary

What is AI Fallback?

Building resilient LLM applications with failover.

What is AI fallback?

AI fallback automatically switches to backup models when the primary LLM fails, times out, or returns errors. This ensures high availability for production AI applications.

Fallback Triggers

  • API errors: 5xx responses, rate limits
  • Timeouts: Slow or hung requests
  • Quality issues: Low confidence scores
  • Content filters: Blocked responses

Fallback Strategies

  • Primary → Secondary model chain
  • Circuit breaker patterns
  • Graceful degradation to cached responses
  • Human escalation for critical failures

Monitor AI fallback events

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