# LangSmith

> 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.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/langsmith
- Official website: https://www.langchain.com/langsmith/observability
- Category: Developer tools / ML engineering & evaluation
- Status: Launched
- Topics: AI, AI agents, Evaluation, Observability, SDK
- Listing updated: 2026-10-30T16:51:54.905Z
- Information source: https://www.langchain.com/langsmith/observability

This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.
