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How to manage AI image generation quotas when timeouts obscure job outcomes

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Developer Retro Prompt's portrait project highlights a nuanced challenge in AI image quota management: a timed-out browser request does not confirm whether the provider actually failed to generate an image. The implementation, built on a Cloudflare Worker and SQLite-backed D1 database, tracks each generation attempt with a status of pending, successful, or failed, reserving quota capacity before the provider call begins. A critical bug was identified where explicit provider failures were mistakenly treated as timeouts, leaving slots permanently reserved and locking users out of their daily allowance. The fix ensures terminal failure statuses are handled separately from genuine timeouts, updating the attempt record and freeing the reserved slot only when failure is confirmed. Uncertain outcomes such as network timeouts are intentionally kept pending until the next daily window to prevent retries from triggering additional paid generation jobs.

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