AI Model Failover Drills: Keep Agents Useful When Providers Break
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Highly actionable failover drills for AI model reliability.
Summary
AI model failover drills must go beyond simple retry chains because providers can fail subtly—returning valid JSON with different field meanings, ignoring tool policies, or dropping citations. The article recommends defining a fallback contract (input/output shapes, quality gates) and running planned tests using golden tasks and fake provider adapters to verify schema preservation, honest degradation, and budget compliance. Prioritize customer-facing workflows like chat, RAG, and tool-calling agents where wrong answers are worse than no answer.