LangChain answers the most common questions about agent evals
LangChain · x · 2026-10-21
LangChain published "The Most Common Questions About Agent Evals, Answered," addressing the most frequent questions about agent evaluation.
Key takeaways: evals score your agent's runs to verify it behaves as expected. To get started, pick one behavior, build a small dataset from real traces, and run a baseline before scaling up. The article rounds up common community questions and answers each one.
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