Rate Limiting, Failover, and Redundancy

AI Navigate Original / 5/16/2026

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Key Points

  • Assume LLMs are external, billed, and occasionally down; design defensively
  • Self-rate-limit before provider caps; use per-user quotas
  • Failover to alternate models; retry with backoff; degrade gracefully
  • Cap costs and cache; roll out impactful changes with rollback

Rate Limiting, Failover, and Redundancy

Assume LLMs are externally dependent, usage-billed, and occasionally down. In production, defensive design protects quality and cost.

Rate Limiting

  • Control it yourself before hitting the provider's limit (queue/backoff)
  • Per-user quotas to prevent abuse and cost runaway

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