LLM Batch Inference Production Practices: Avoiding Duplicate Charges and Missing Results with Manifest, Idempotent Record IDs, and Shard Retry
A systematic guide to building a recoverable, auditable batch inference pipeline for asynchronous large-scale LLM calls using job manifests, deterministic record IDs, per-record reconciliation, and shard-based retries to prevent duplicate billing and missing results.