Eval Engineering Skill: Build Evals From Repo Context and Traces

Langchain··Submitted by Mads Kristian Nylund
AI DevelopmentAI Tools

The Eval Engineering Skill enables coding agents to generate evaluation tasks (evals) by analyzing agent traces and repository context, allowing users to iteratively refine and execute evals in Harbor format. It maps agent components like prompts, models, and tools, and uses traces to identify patterns, enabling the creation of executable evals that can be tested against different models and versions. The skill supports continuous learning by transforming recurring user requests and errors into evals, facilitating agent improvement through iterative feedback loops.

Read Article

More from Langchain

Related Articles