A bug in AI agent fallback chains causes the primary model's 429 rate limit error to propagate to subsequent models, preventing them from being evaluated fairly. This issue highlights the need for each fallback provider to have a clean evaluation context independent of previous errors, ensuring reliable failover mechanisms for developers and tech professionals.
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