LangSmith
Tracing and evals with deep LangChain support
- Freemium
- Observability
What it is
LangSmith records traces, prompts and token usage for LLM applications, with first-class support for LangChain and LangGraph runs and a framework-agnostic SDK underneath. It pairs the trace store with datasets, annotation queues and automated evaluators, so a production failure can be turned into a test case. Human review queues let subject-matter experts grade outputs directly.
Best for
Debugging and evaluating applications already built on the LangChain or LangGraph stack.
Where it falls short
The default deployment is hosted, so trace payloads — often containing user data — leave your environment unless you self-host it.
Characteristics
- tracing
- evaluation
- annotation
- langchain
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