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LangSmith

4.3
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LangSmith helps teams build reliable AI applications. It lets you trace your AI's steps to debug issues fast, monitor important metrics like cost and response quality, and discover common user patterns. This means you can quickly fix problems, understand what users want, and make your AI trustworthy.

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OverviewFeaturesUse CasesFAQIntegrationsPricing

About LangSmith

Who It's For

LangSmith helps teams building AI agents and applications. It's for developers who want to ensure their AI tools are reliable and work correctly. If you create chatbots or smart assistants, this platform gives you clear insights into their performance.

What You Get

You get tools to see every step your AI takes, making debugging much easier. It also lets you monitor important things like cost, speed, and the quality of responses using live dashboards. This helps you quickly spot problems and understand how users interact.

How It Works

LangSmith records detailed traces of your AI's actions, so you can find and fix problems fast. It tracks key business metrics and sends alerts when issues arise. The tool also groups similar user conversations automatically to spot common needs. It works with any AI framework.

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Features & Capabilities

🔍 Core Observability

Agent Tracing

Debugs non-deterministic LLM app behavior by visualizing step-by-step agent execution to quickly find and fix failures.

Live Dashboards & Metrics

Monitors business-critical metrics such as costs, latency, and response quality with customizable dashboards and real-time alerts.

Automated Usage Insights

Discovers usage patterns by clustering similar conversations, helping to understand user needs and identify systemic issues.

⚙️ Flexible Integration & Deployment

Framework Agnostic

Works with any LLM application framework, including LangChain and LangGraph, requiring minimal setup.

OpenTelemetry (OTel) Support

Supports OTel to unify your observability stack across services, regardless of the application's programming language.

Enterprise Self-Hosting

Offers a self-hosting option for enterprise plans, allowing the software to run on your Kubernetes cluster for data residency and control.

🔒 Reliability & Data Governance

Zero Latency Impact

Ensures no additional latency is added to your application through an asynchronous, distributed trace collection process.

Data Ownership & Privacy

Guarantees that user data is never used for training purposes, and customers retain full ownership and rights to their data.

Use Cases

Debugging and Optimizing AI Agent Performance

AI engineers face challenges with non-deterministic LLM behavior, making debugging difficult and impacting agent reliability. LangSmith provides step-by-step tracing to pinpoint issues, allowing developers to rapidly diagnose problems and improve response quality and reduce latency for more reliable AI applications.

B2B SaaSFor: AI Engineers

Monitoring Business-Critical LLM Metrics

Go-to-Market Leaders and engineering managers need to track key business metrics like costs, latency, and output quality of their AI applications. LangSmith offers live dashboards and alerts to monitor these critical metrics, enabling teams to proactively identify and address performance bottlenecks or unexpected cost escalations.

Enterprise SoftwareFor: Engineering Managers

Analyzing User Interactions to Resolve Systemic Issues

Product teams struggle to understand how users interact with their AI agents and identify recurring problems that affect user experience. LangSmith automatically clusters similar conversations and integrates user feedback, allowing teams to discover usage patterns, understand user needs, and quickly address systemic issues across their AI applications.

Product DevelopmentFor: Product Managers

Building and Scaling Reliable Conversational AI and RAG Applications

Developers building complex conversational agents or Retrieval-Augmented Generation (RAG) applications need robust tools to ensure context is maintained and retrieval steps are accurate. LangSmith provides specialized tracing for multiturn conversations and RAG workflows, along with integrated monitoring and evaluation, facilitating the development and scalable deployment of highly reliable AI systems.

AI/ML Product DevelopmentFor: ML Engineers

Frequently asked questions

Tags

performance monitoringllm tracingapplication debuggingobservability platformreal-time alerts

Specifications

Deployment
Browser
API
Self-hosted
Cloud
Target Audience
Business
Enterprise
Complexity
Expert

Pricing

Developer

Per monthly

Free
  • 1 seat
  • 5k base traces / mo included
  • Pay-as-you-go pricing for additional traces
  • LangSmith Observability & Evaluation: Tracing, Monitoring, Insights (beta), Online and offline evals, Dataset collection, Annotation queue (human feedback)
  • Prompt Hub and Playground
  • Google, GitHub SSO
  • Organization Roles (User and Admin)
  • Community Slack Support
  • Monthly, self-serve billing

Plus

Per monthly

$39
  • Includes all features from the Developer plan
  • Up to 10 seats
  • 10k base traces / mo included
  • 1 free Dev deployment with unlimited node executions
  • Additional deployments: $0.001/node execution
  • Additional deployments: $0.0007/min Development deployment uptime
  • Additional deployments: $0.0036/min Production deployment uptime
  • Bulk data export
  • LangSmith Deployment: Expose agent as MCP server, Real-time streaming of intermediary steps and final output, Agent Authorization (beta), 1-Click Deploy
  • Platform hosting option: Cloud
  • Infra: Fully managed by LangChain
  • Data location: LangChain's Cloud (US or EU)
  • Custom SSO
  • Email Support
  • Monthly, self-serve billing

Enterprise

Per annually

Free
  • Includes all features from the Plus plan
  • Custom users/seats
  • Custom traces included and pay-as-you-go thereafter
  • Custom Node execution cost
  • Custom Uptime cost
  • Hourly trace ingestion and trace event limits
  • LangSmith Deployment: Horizontally-scalable service for production-sized deployments, 30+API endpoints including state and memory, Cron scheduling, Authentication &authorization for LangGraph APIs
  • Hosting options: Cloud, Hybrid, or Self-Hosted
  • Infra: Hybrid: SaaS control plane, Self-hosted data plane
  • Infra: Self-Hosted: Fully self-managed
  • Data location: Hybrid: LangChain's Cloud (US or EU)
  • Data location: Self-Hosted: Your VPC
  • Role-Based Access Control
  • Support: Team trainings
  • Support: Architectural guidance for your applications
  • Support: Access to deployed engineers
  • SLA
  • Procurement: Custom Terms
  • Procurement: Infosec Review
  • Annual invoice billing

✓ Free plan • ✓ Plans from $39 / monthly • ✓ Enterprise options

Integrations

LangChain
LangGraph
OTel
Kubernetes
AWS
GCP

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