AI Audit Logging — Compliance, Debugging, and Accountability for LLM Systems
Build immutable audit trails for AI systems with structured logging, compliance-ready records, and analytics for debugging and fraud detection.
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4 articles
Build immutable audit trails for AI systems with structured logging, compliance-ready records, and analytics for debugging and fraud detection.
Structured logging with pino, log levels, Loki setup, LogQL queries, log sampling, correlation IDs, and cost optimization for high-volume services.
Implement the three pillars: Prometheus metrics, Loki structured logging, and Tempo distributed tracing. Correlate with trace IDs for complete request visibility.
Most loggers are synchronous — they block your event loop writing to disk or a remote service. logixia is async-first, with non-blocking transports for PostgreSQL, MySQL, MongoDB, SQLite, file rotation, Kafka, WebSocket, log search, field redaction, and OpenTelemetry request tracing via AsyncLocalStorage.