LangSmith
LangChain's platform for debugging and monitoring LLM apps
About
From the team behind LangChain, LangSmith is a platform for observing, evaluating, and debugging LLM applications in development and production. It captures detailed traces of every model call, tool invocation, and chain step, then layers on dashboards, alerting, and automation rules for tracking quality over time. Evaluation features cover offline test suites, online evaluators that score live traffic, human annotation queues, and end user feedback collection, and the LangSmith Engine can surface recurring issues in production traces and help diagnose root causes. Despite its origins, LangSmith is framework agnostic, with integrations for OpenAI, Anthropic, CrewAI, the Vercel AI SDK, and Pydantic AI in addition to LangChain itself. It is a commercial service offered as managed cloud, hybrid, or fully self hosted deployments. Engineering teams shipping agents and chat products use it to understand what their LLM systems actually did and why.
Should you use LangSmith?
Pick it when
Pick LangSmith when your team builds on LangChain or LangGraph and wants a managed service with online evaluators on live traffic, human annotation queues, and alerting, and paying for a commercial product is fine.
Look elsewhere when
Skip it if you need open source or a free self-hosted deployment, since it is closed and commercial. Langfuse (MIT) and Opik (Apache-2.0) give comparable tracing and evals you can run yourself.
Alternatives to LangSmith
- Langfuse
MIT-licensed with a free self-hosted edition matching the cloud; LangSmith's edge is native LangChain and LangGraph tracing depth.
- LangWatch
Open-core Apache-2.0 option with agent simulation tests and a gateway with budgets; self-host it or use its cloud.
- Opik
Apache-2.0 tracing, evaluation, and datasets with Docker self-hosting at no cost; less tied to the LangChain ecosystem.
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Details
- Category
- AI Observability & Evaluation
- Price
- Freemium
- Platform
- Web
- Difficulty
- Easy (2/5)
- Added
- Jan 29, 2026