
Token usage logging without storing secrets
Build interpretable LLM usage records with clear totals, missing-value handling, deduplication, and transparent cost estimates.
Read Token usage logging without storing secretsLog Mic Lab / Connected ideas
Build estimates that explain their inputs. The articles here cover LLM usage accounting and the capacity required to retain logs. Both distinguish measured quantities from assumptions, make units explicit, and keep incomplete information visible so a planning result can be revised when better evidence arrives.
Use the token guide when the question starts with model requests and reported usage. Use the storage guide when it starts with event rate, record size, retention, and copies. Neither a usage total nor a raw byte estimate is a complete invoice: document the components included in your particular calculation.
2 connected guides

Build interpretable LLM usage records with clear totals, missing-value handling, deduplication, and transparent cost estimates.
Read Token usage logging without storing secrets
Estimate logging volume from event rate, record size, retention, and measured overhead, then account for the work around storage.
Read Logging storage costs: build a transparent capacity estimateExplore a shared question across different kinds of logs. Each collection brings together relevant guides and a useful reading path.