Agent-evals
betaEvaluate agentic AI pipeline systems.
Details
Agent-evals is a skill designed for evaluating components and end-to-end levels of agentic AI pipeline systems. It enables users to define measurement criteria, build or sample evaluation cases, run repeatable tests, track regressions over time, and derive insights from the results.
Best fit users
- •AI developers
- •data scientists
Why this one made the cut
Agent-evals provides a systematic approach for evaluating AI systems, enabling users to better understand system performance and make informed decisions about improvements. It is crucial for ensuring that agentic AI pipelines meet specified quality standards and operational requirements.
What makes it different
Unlike other evaluation tools, Agent-evals offers comprehensive support for both component-level and end-to-end evaluations of AI pipeline systems.