LangChain Launches AI Search in LangSmith for Natural Language Agent Trace Queries
LangSmith introduces AI Search beta, enabling developers to query agent traces using natural language descriptions of behaviors like PII leaks or user frustration.
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LangChain announced on October 13 that it has launched AI Search in public beta within LangSmith, allowing developers to search agent traces using natural language descriptions of behaviors.
Previously, finding specific issues such as PII leaks or user frustration required setting up evaluators or manually reviewing data, as these problems do not map cleanly to tags or metadata. AI Search uses decision models to read trace content line by line, identifying these subtle behavioral patterns.
The feature is available in public beta on LangSmith Cloud in GCP US, EU, and APAC regions at no additional cost. Administrators can enable it in settings, after which it appears on the tracing page.