OpenSearch Agent Health: Open-source observability and evaluation for AI agents

This article highlights the challenges of deploying and maintaining agentic AI applications in production, specifically the lack of visibility into their decision-making processes. It introduces OpenSearch Agent Health, a new open-source tool designed to solve these problems by providing trace observability, structured benchmarking, and real-time agent evaluation – allowing developers to debug faster, test systematically, and deploy with more confidence. Agent Health aims to shift agent development from lengthy manual QA cycles to automated, AI-driven testing and monitoring.