Dataset Filtering And Sampling

via “sampling-and-filtering-with-configurable-rules”

AI observability platform for production LLM and agent systems.

Unique: Implements sampling at the processor level (before export) with support for both probabilistic and deterministic sampling rules; enables module-level and log-level filtering without requiring code changes, reducing telemetry volume and costs while maintaining trace integrity

vs others: More granular than OpenTelemetry's built-in sampler (supports module and log-level filtering); deterministic sampling preserves trace integrity better than random sampling; processor-level filtering is more efficient than application-level filtering because it reduces memory overhead