KubeCon + CloudNativeCon India 2026

Generative AI systems and AI agents behave very differently from traditional software. Their non-deterministic nature and ability to act across multiple steps make debugging and accountability harder, which increases the need for better observability. Beyond latency and error rates, teams need insight into prompts, responses, and agent actions to understand what an agent did and why.

In this session, I will show how to instrument AI agents using OpenTelemetry and the GenAI Semantic Conventions, with OpenLIT as the native SDK. Through a live demo, I will demonstrate how to capture agent interactions alongside performance telemetry using Prometheus and Jaeger, while keeping sensitive data separate to reduce risk and cost.

I will also show how telemetry can support ongoing evaluations, helping teams reason about agent behavior over time without logging everything. This talk is for engineers building AI agents who want to improve trust and accountability without oversharing data.