Don’t Build Blindly — Build Better with LangSmith
LangSmith, created by the LangChain team, is an observability and debugging platform specifically designed for generative AI workflows, though it can be used with other tools.
It enables developers to monitor real-time metrics, log detailed execution traces, and analyse past runs to understand system behaviour and troubleshoot issues.
Key features include performance evaluation, feedback collection, and cost tracking and the differentiation factor here is in providing tailored insights not always available in most of the generic monitoring tools.
It offers capabilities like trace analysis, replay, and dataset testing.
LangSmith aims to improve the reliability, performance, and cost-effectiveness of AI applications, and the same will be demonstrated with a customer support bot case study.
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