Applied AI·Production patterns and cost
one row per call with model, prompt version, tokens, cost and outcome, which is your debugging record and your cost ledger in one table.
Structured logging of LLM calls
Draft summary, pending review
Per call: model and version, prompt template version, token counts, latency, cost, stop reason, validation outcome, and identifiers to join with traces. This log is your debugging record, your cost ledger and your future fine-tuning dataset in one table.