How Candidly Built State-Aware Agent Harnesses in LangSmith
LangChain
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Candidly developed a state-aware agent harness for its AI financial planner, Cait, using LangSmith to analyze conversation traces and predict outcomes in real time. This approach enables Cait to steer conversations more effectively by assessing user state and selecting responses based on past interactions.
