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LangSmith

by LangChain, Inc. · Platform · also known as smith.langchain.com, LangSmith Deployment, LangGraph Platform (former name of the deployment product)

LangChain's hosted platform for tracing, evaluating and deploying LLM applications and agents, with prompt tooling, an LLM gateway and cloud, hybrid or self-hosted options

ProprietaryFreemiumPaidEnterpriseCloudSelf-hostedSelf-hostable
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Link verified Nov 2, 2026

Overview

LangSmith is the commercial platform from LangChain, Inc. for operating LLM applications. Its observability layer records traces of what agents did, groups them into threads, supports dashboards, alerts and feedback collection, and builds datasets from production runs. Evaluation covers offline experiments and online evaluators, annotation queues and automation rules, and the Prompt Hub and Playground handle prompt engineering. Newer components include Deployment (hosting LangGraph agents with scheduling, MCP exposure and an Assistants API; formerly LangGraph Platform), Engine (automated detection and diagnosis of recurring trace problems), Fleet (no-code agents), Sandboxes for agent-generated code and an LLM Gateway with cost controls and redaction that traces calls without SDK changes.

Tracing works with LangChain and LangGraph through environment variables but is not limited to them; OpenAI, Anthropic, CrewAI, Vercel AI SDK and Pydantic AI integrations are documented. Plans are Developer (free, single seat), Plus and Enterprise; cloud hosting is in US or EU regions, with hybrid (SaaS control plane, self-hosted data plane) and fully self-hosted deployments reserved for Enterprise. The platform is proprietary, so teams that need a free self-hosted tracing store usually compare it with Langfuse.

Capabilities

  • Tracing with threads, dashboards, alerts and feedback
  • Offline and online evaluation, annotation queues and automation rules
  • Prompt Hub and Playground
  • Deployment of LangGraph agents with cron, MCP and Assistants API
  • Engine for automated trace-issue diagnosis
  • LLM Gateway with cost controls, fallbacks and PII redaction
  • Cloud (US/EU), hybrid and self-hosted deployment on Enterprise

Typical workflows

  1. Trace a LangGraph agent during development with one environment variable
  2. Turn production failures into an evaluation dataset
  3. Deploy an agent as a managed endpoint with scheduled runs

Strengths

  • Tightest integration with LangChain and LangGraph
  • Observability, evals, prompts and deployment in one product
  • Free Developer tier

Limitations

  • Proprietary; self-hosting only on Enterprise
  • Usage metered by traces and platform units
  • Product renames (LangGraph Platform to LangSmith Deployment) date older docs

Prerequisites

  • LangSmith account and API key
  • Application instrumented via LangChain, an SDK or the gateway

Who it is for

  • Teams building on LangChain and LangGraph
  • Organizations wanting a managed agent-hosting and observability stack

Alternatives & comparison

  • Braintrust

    Hosted observability and evaluation platform for AI agents with tracing, experiments, pattern detection, a CLI, MCP access and an AI assistant (Loop) that analyzes traces and builds evals

    MixedFreemium
  • Langfuse

    Open-source LLM observability and evaluation platform: tracing, LLM-as-judge and human evals, prompt management, datasets and cost dashboards, self-hostable or as Langfuse Cloud

    Open sourceOpen source
  • promptfoo

    Open-source, local-first CLI and library for evaluating prompts, models, RAG pipelines and agents, with automated red teaming and CI integration

    MixedOpen source
  • Ragas

    Open-source Python library for evaluating LLM and RAG applications with LLM-driven and custom metrics, experiments, dataset management and result tracking

    Open sourceOpen source
  • Weights & Biases

    ML experiment tracking, sweeps, artifacts and model registry plus Weave for LLM tracing and evaluation, now sold by CoreWeave within its Forge platform with a free academic tier

    MixedFreemium
Compare LangSmith with its alternatives →

Sources & verification

Primary sources consulted for this record. Claims are tied to the fields each source supports; the automated link checker re-verifies every URL on a schedule.

  • Official documentation
    LangSmith documentation

    https://docs.langchain.com/langsmith/observability

    Supports: capabilities, integrations, deployment_models

    checked Nov 1, 2026
  • Official site
    LangSmith Observability

    https://www.langchain.com/langsmith/observability

    Supports: name, summary

    checked Nov 1, 2026
  • Pricing page
    https://www.langchain.com/pricing

    Supports: pricing_model, deployment_models

    Developer, Plus, Enterprise; cloud US/EU, hybrid and self-hosted

    checked Nov 1, 2026
Confidence
High
Reviewed
Nov 1, 2026
Links
Verified · Nov 2, 2026

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