LangSmith

LangChain's observability, evaluation, and monitoring platform for LLM apps and agents.

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What is LangSmith?

LangSmith is the observability and evaluation platform from the LangChain team. It traces every LLM call, tool invocation, and agent step as an inspectable tree, so developers can find exactly which step broke, how long each part took, and what it cost in tokens. Beyond tracing, it adds evaluation datasets with LLM-as-judge scoring, production monitoring dashboards for latency, cost, and error rates, and managed deployment. It instruments LangChain and LangGraph apps with minimal config and also accepts OpenTelemetry from any stack.

Key features

  • Full trace trees of every run, step, and token cost
  • Evaluation datasets with LLM-as-judge and custom rubrics
  • Production monitoring dashboards (latency, cost, error rate)
  • Prompt engineering and experiment comparison
  • OpenTelemetry ingestion for non-LangChain stacks
  • Self-hosting available on Enterprise plans

Pros

  • Tightest integration with LangChain/LangGraph
  • Free developer tier to start tracing
  • Traces make multi-step agent debugging practical
  • Used in production by major companies

Cons

  • Heaviest value inside the LangChain ecosystem
  • Trace data leaves your environment on hosted plans
  • Pricing scales with seats plus usage

LangSmith at a glance

PricingFreemium
CategoryCoding & Development
Platformsweb, api
CompanyLangChain
Official websitewww.langchain.com
observabilityllm-evalagent-monitoringtracinglangchaindebugging

How to choose the right Coding & Development tool

The right coding tool depends on where you write code and how much of your codebase it can understand. IDE integration is the first filter — a tool that lives in your editor, sees your project files and respects your stack will help far more than a general chatbot you paste snippets into. Look for accurate completions, clear explanations of suggested changes, and strong refactoring and debugging support for your main languages. Privacy deserves real attention: check whether your code is used for training, and whether a self-hosted or enterprise option exists for sensitive projects. Price against the hours it actually saves — most developers feel the difference within the first week of real use.

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LangSmith FAQs

What is LangSmith?

LangSmith is the observability and evaluation platform from the LangChain team. It traces every LLM call, tool invocation, and agent step as an inspectable tree, so developers can find exactly which step broke, how long each part took, and what it cost in tokens. Beyond tracing, it adds evaluation datasets with LLM-as-judge scoring, production monitoring dashboards for latency, cost, and error rates, and managed deployment. It instruments LangChain and LangGraph apps with minimal config and also accepts OpenTelemetry from any stack.

What are the main features of LangSmith?

LangSmith offers Full trace trees of every run, step, and token cost, Evaluation datasets with LLM-as-judge and custom rubrics, Production monitoring dashboards (latency, cost, error rate), Prompt engineering and experiment comparison, OpenTelemetry ingestion for non-LangChain stacks and Self-hosting available on Enterprise plans.

How much does LangSmith cost?

LangSmith follows a freemium model: a free tier is available, and paid plans unlock higher limits and advanced features. Check its official website for current plan prices.

What are the pros and cons of LangSmith?

Strengths of LangSmith include Tightest integration with LangChain/LangGraph; Free developer tier to start tracing; Traces make multi-step agent debugging practical. On the downside, Heaviest value inside the LangChain ecosystem; Trace data leaves your environment on hosted plans; Pricing scales with seats plus usage.