LangSmith
LangChain's platform for tracing, testing, and evaluating LLM and agent applications.
LangSmith is the observability and evaluation product from the LangChain team. It traces runs in detail, supports datasets and evaluations, and integrates tightly with LangChain and LangGraph, though it works with any stack.
For teams already building on LangChain tools, that integration makes it the path of least resistance.
Where it fits
A natural fit when a project is built on LangChain or LangGraph and you want tracing and evals from the same ecosystem.
Where it does not fit
Primarily a hosted product, so it needs review when traces must stay self-hosted within your own environment.
Alternatives to LangSmith
The closest options on the map, and where each fits instead.
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Langfuse LLM observability
A strong default whenever an AI system reaches production and you need to see what it actually did, call by call.
Unlike LangSmith Open sourceSelf-hostable
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Braintrust Evaluation platform
A fit for product teams who want disciplined, data-driven evaluation as the centre of their iteration loop.
Unlike LangSmith Maturity: growing
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Helicone LLM observability
A fit when you want fast, low-effort visibility into model calls, costs, and latency through a simple proxy.
Unlike LangSmith Open sourceSelf-hostable
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Lunary LLM observability
A fit when you want observability and versioned prompt management together, in a self-hostable tool.
Unlike LangSmith Open sourceSelf-hostableMaturity: growing
Pairs with
Commonly used alongside it.
