Codex Addresses Rate-Limit Usage Drain
OpenAI identified excess usage from image-heavy long sessions, Computer History, and automatic conversation-title generation. A rate-limit reset was planned for approximately 2 p.m. Pacific the following day.
Codex’s rate-limit problems appear to be driven partly by product instrumentation and context-management overhead, not just user demand.
- –Image-heavy sessions and repeated compactions can inflate usage unexpectedly
- –Computer History’s high-tail usage suggests background context collection needs tighter controls
- –Automatic title generation shows how seemingly minor UX features can consume meaningful capacity at scale
- –The planned reset offers short-term relief, but durable fixes require better usage accounting and clearer quota visibility
DISCOVERED
2h ago
2026-08-23
PUBLISHED
3h ago
2026-08-23
RELEVANCE
AUTHOR
thsottiaux