Research finds major observability gaps in AI agent frameworks and urges real-time monitoring
Researchers report that widely used AI agent frameworks often fail to emit crucial observability records—such as persistent agent IDs and human intervention logs—making it hard to see what agents do and why. The authors call for real‑time monitoring, standards for 'what happened' and 'decision' records, and for the OpenTelemetry working group to finalize agent tracing formats that capture these signals.