LLM Logging and Auditing
LLM Logging and Auditing covers production practices for capturing, storing, and analyzing prompt/response pairs in LLM systems.
This includes PII redaction before log storage, structured schemas for cost attribution, compliance audit trails for regulated environments, and trace sampling strategies to manage log volume at scale. Also known as: LLM Audit Trail
What this topic covers
- Foundations — LLM logging captures every prompt, response, and token event flowing through a production system — the raw material for debugging, compliance, and cost attribution.
- Implementation — These guides cover building a logging pipeline that handles PII redaction, trace sampling, and cost attribution without choking throughput.
- What's changing — Observability tooling for LLM systems is maturing fast, with specialized platforms emerging that unify tracing, evaluation, and cost dashboards in one layer.
- Risks & limits — Every logged prompt is a potential privacy exposure — capturing user input without consent or proper PII redaction creates compliance liabilities that grow with log volume.
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