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LangChain details eval approach for Deep Agents

LangChain shares five evaluation patterns for deep agents: bespoke test logic per datapoint, single-step validation, full turns, multi-turn simulations, and environment setup. Emphasizes that evals should directly measure desired agent behaviors rather than accumulate many tests.

Jun 16, 6:02 PM
LangChain details eval approach for Deep Agents — AIBriefs