How I Batch-Process 100K Rows with LLMs Without Losing My Mind (or My Money)

I had a 158,000-row product catalog. Each row: a free-text description. I needed structured attributes out of it: brand, category, material, sentiment score. So I wrote the obvious thing. A for-loop, one GPT call per row, dump results into a list. Ran it Friday evening. Monday morning: $400 spent, crashed at row 91K, no checkpoint. Cool. Started over. That's when I decided to build the tool properly. The gap nobody's filling There are plenty of LLM frameworks out there. LangChain d...