Create an immutable input manifest
Assign each work item a stable identifier without sensitive content. Record the input version, task type, configuration version, and expected output shape. Save a manifest digest and avoid editing the original manifest during execution. Changed input creates a new version so resumed work cannot mix results from different source sets.
Batch here means application-level scheduling, not a claim that a particular hosted batch endpoint exists. Confirm current protocols and model availability in official information. Set a total budget for the manifest using actual current pricing and applicable limits before starting execution.
Persist item-level state
Distinguish pending, running, completed, failed, and unknown outcomes for each item. Save and validate a result before marking the item complete. This sequence reduces the chance that a process interruption loses the evidence needed for recovery. Checkpoints contain necessary identifiers, times, and redacted diagnostics rather than authentication headers.
Bound concurrency, queue length, and individual result size. Start with a small synthetic set to verify ordering and duplicate handling. Completion order should not determine input identity; associate results through stable identifiers when assembling the final report.
Resume only the work that needs it
On restart, inspect persisted states and outputs, skipping confirmed completed items. Reconcile unknown outcomes against available evidence first. Missing output does not prove no execution or no charge, especially when the workflow has external side effects. One failed item should not automatically rerun the entire manifest.
Report counts for success, failure, unknown, and unexecuted work with an item-level inspection route. Preserve the budget, visibility limits of usage records, and manual recovery decisions. Deliberately interrupt a test run to confirm that checkpoints actually support recovery.
Sources & further reading
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