Agent Evaluation Readiness Checklist

Langchain··Submitted by Mads Kristian Nylund
AI EvaluationAgent Technologies

The checklist provides a structured approach to building and evaluating agent performance, emphasizing the importance of starting with simple, signal-generating evaluations, using LangSmith for trace-to-data conversion, and manually reviewing traces to identify failure patterns. It outlines steps for defining success criteria, separating capability and regression evaluations, and assigning ownership to a single domain expert to avoid blaming infrastructure or data pipeline issues. The process also involves designing specialized grader systems, running evaluations with multiple trials and distinct types, and ensuring the evaluation suite directly measures production behaviors.

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