LangChain · AI

How Do You Actually Evaluate an AI Agent?

Amy and Sean from LangChain dig into agent evals, and why agents need a different approach than traditional software testing. Since agent inputs are natural language and outputs vary even for the same input, you define what good looks like instead of testing for exact outputs, often using an LLM as judge. Build a data set of real-world examples and edge cases, run it every time you change the agent, and treat evals as a continuous muscle, not a o

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