How to Structure a Python Project for Long-Running LLM Batch Jobs

LLM batch jobs are not like web requests. They run for hours, they call expensive APIs, and they fail partway through. If your project structure doesn't account for this from the start, you'll spend more time recovering from crashes than writing code. This article covers a directory layout, config validation, logging, graceful shutdown, and environment variable handling that hold up in production. Directory Layout Start with a layout that separates concerns clearly: my_pipeline/ ├...