You Fixed the Rate Limits. Now Your Agent Fails Quietly.
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Deep technical piece on agent reliability and SLOs, highly actionable for AI systems.
Summary
A comment thread on a previous post reveals that fixing agent rate limits with retries, fallback models, and caches trades loud 429 failures for quiet correctness holes — the agent stays up but acts on stale, re-run, or differently-modeled outputs. The solution is to separate availability (Gate 1: can I serve this?) from correctness (Gate 2: can I act on this irreversibly?), propagating provenance across the agent chain and gating irreversible actions on risk, not confidence.