Agnost AI
Find recurring AI-agent failures in conversations and traces
Trace AI agents and inspect quality, cost, and latency

LangSmith traces and evaluates applications using language models or agents. A trace shows the steps of a run, including tool calls and multi-turn messages, for examining response quality, latency, or cost. SDKs and OpenTelemetry connect different frameworks to the platform.
Production dashboards follow usage, errors, and feedback. Code-based and model-based evaluations score the characteristics a team selects, with alerts for configured thresholds. Trace analysis groups common behaviors and failures. Developers can inspect a particular run or compare a recurring pattern, then use evaluations to examine the application's behavior after a change.
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