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Observability Stack

NL2SQL provides observability through structured logging, OpenTelemetry metrics, and audit events. The system is designed to be callback-driven, so telemetry is only emitted when callbacks are supplied to run_with_graph().

Telemetry flow

sequenceDiagram
    participant Pipeline as run_with_graph()
    participant Callback as PipelineMonitorCallback
    participant Metrics as OpenTelemetry metrics
    participant Audit as EventLogger
    participant Logs as Logger/JsonFormatter

    Pipeline->>Callback: callbacks
    Callback->>Metrics: configure_metrics()
    Callback->>Audit: log_event(llm_interaction)
    Callback->>Logs: node start/end logs
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Metrics

configure_metrics() installs an OpenTelemetry meter provider. Exported metrics include:

  • nl2sql.node.duration (histogram)
  • nl2sql.token.usage (counter)

Legacy token and latency events are recorded in TOKEN_LOG and LATENCY_LOG.

Audit logging

EventLogger writes JSON events to a rotating log file configured by Settings.audit_log_path. Payloads are sanitized to redact sensitive keys.

Structured logging

Logging is configured at import time; JSON formatting is enabled when Settings.observability_exporter == "otlp". Trace and tenant context helpers exist (trace_context, tenant_context), but the pipeline does not set them; callers must establish context if they want trace/tenant IDs in logs.

Source references

  • Metrics: packages/core/src/nl2sql/common/metrics.py
  • Audit logging: packages/core/src/nl2sql/common/event_logger.py
  • Pipeline callbacks: packages/core/src/nl2sql/services/callbacks/monitor.py
  • Logging: packages/core/src/nl2sql/common/logger.py