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Codex limits drained by cache misses during context compaction

Melvin Vivas · X post · 2026-05-24 · Open on X

Topics: AI Dev Tools & Productivity, Prompt & Context Engineering, LLMOps, Deployment & Monitoring · Level: intermediate

Summary

A joke post quoting OpenAI's Tibo (@thsottiaux), who said Codex usage limits drained faster because an optimization lowered cache hit rates when compacting context in long-running sessions. OpenAI rolled the change back and reset everyone's usage limits. The lesson: prompt-cache hit rates directly affect cost and quota in long agent sessions.

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