Batch API Costs Can Double: Six Pitfalls in a .NET OpenAI Batch Pipeline

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A developer explains that OpenAI's Batch API offers half-price processing for non-urgent bulk work, but the surrounding application code can erase those savings. The article describes six common mistakes in a .NET 10 batch pipeline, including duplicate batch submissions after a crash. It recommends tagging each batch with metadata and saving state before every provider call so restarts don't resend work. It also advises sorting failures so only transient errors are retried, with a capped attempt budget, and notes that output lines can return out of order and may be missing. The piece is promotional, pointing readers to a paid course for the full working project.

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