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The Batch Processing skill empowers developers to handle massive workloads—such as processing tens of thousands of documents, generating training data, or performing bulk content analysis—at a fraction of the standard API cost. By utilizing an asynchronous workflow with JSONL files, it enables reliable, high-throughput processing for tasks where immediate responses are not required. It includes comprehensive lifecycle management, from creating batch requests and monitoring status to streaming results and handling retries for errored or expired jobs, making it an essential tool for cost-efficient AI operations at scale.
