LangChain is an agent engineering company offering open source frameworks and the commercial LangSmith platform. Developers can build agents with LangChain, LangGraph, or Deep Agents, or use Fleet for no-code agents, then trace runs, run online and offline evaluations, deploy long-running agents with persistent state, and monitor cost, latency, and errors. LLM Gateway controls model calls and spend, while Sandboxes run agent-generated code safely. Teams can start on a free Developer plan, upgrade to Plus, or contact sales for Enterprise self-hosted and hybrid options.
How to use LangChain
1
Start building
Create a LangSmith account at smith.langchain.com to begin building and tracing agents.
2
Choose a framework
Pick LangChain for quick starts with any model provider, LangGraph for low-level control, or Deep Agents for long-running autonomous tasks.
3
Trace and evaluate
Use Observability to debug runs with step-by-step tracing and Evaluation to score agent performance.
4
Deploy agents
Ship agents on serverless or dedicated deployments and run agent-generated code in isolated sandboxes.
5
Govern model usage
Use LLM Gateway to control model calls, spend, and sensitive data, with human approval for sensitive actions.
LangChain Features
Open source frameworks: LangChain, LangGraph, and Deep Agents
No-code agents with LangSmith Fleet
Observability with step-by-step tracing and monitoring
Online and offline evaluations with dataset collection
Deployment with 30+ Agent Server endpoints and persistent state
Sandboxes for running agent-generated code safely
LLM Gateway to control model calls, spend, and sensitive data
SaaS, BYOC, or self-hosted deployment options
LangChain Use Cases
Building AI agents with any model provider
Debugging and evaluating agent behavior before release
Deploying long-running agents to production
Monitoring agent cost, latency, and errors
Governing model spend and sensitive data
LangChain FAQs
LangChain offers open source frameworks for building agents, while LangSmith is the commercial agent engineering platform for testing, deploying, monitoring, and improving them.
You can use LangChain for quick starts with any model provider, LangGraph for low-level control, or Deep Agents for long-running autonomous tasks.
Yes. The Developer plan costs $0 per seat per month for solo users, includes up to 5k base traces per month, and then bills pay-as-you-go.
Plus costs $39 per seat per month, includes up to 10k base traces per month, and supports unlimited seats with pay-as-you-go usage beyond allowances.
LSU stands for LangChain Standard Unit, a measure of work used for metered services such as Fleet and Engine; 1 LSU costs $1.00.
Yes. Enterprise offers self-hosted and hybrid deployment options, and Fleet can be self-hosted by contacting the sales team.
Serverless deployments scale to zero when idle and suit testing, background, or internal agents, while dedicated deployments are always on for production workloads needing autoscaling and high availability.
No. LangChain manages model-provider access for the Fast, Pro, and Max tiers, and Fleet usage is charged in LSUs.