Originally published on AI Tech Connect.
What you need to know before you read on There is a difference between reducing your LLM bill and understanding it, and most teams have never done the second. This guide is about the second. Related guides on this site cover how to cut spend with caching, routing and compression; this one is about how to measure and attribute it — so that when the invoice arrives you can say exactly which feature, which team and which customer generated every rupee and every pound of it. Here is the shape of what follows. Total-bill blindness is the real problem — you cannot optimise or price what you cannot attribute, and one big provider invoice tells you nothing about where the money went. Tag every request across six dimensions — feature, team, customer/tenant, environment, model and user-tier — and…
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