About LangChain
LangChain provides open-source frameworks and a commercial platform for building, testing, deploying and monitoring AI agents. It is built for teams that want to move agents from a prototype into production.
What it does
The frameworks, including LangGraph for low-level control, help developers build agents. LangSmith adds tracing, debugging and evaluation so you can see what an agent did in each run. The platform also offers an agent server for deployment, an LLM gateway for model calls and spend, and monitoring that groups issues together.
Key features
- Step-by-step tracing and debugging for agent runs
- Agent Server endpoints for deployment
- LLM gateway for controlling model calls and spend
- Automated monitoring with issue clustering
- Sandboxed execution for agent-generated code
Who it's for
AI engineers and backend teams building agents that need observability and evaluation. Teams that want to avoid building that infrastructure themselves may find the platform more useful than the frameworks alone.
Pricing and good to know
The Developer plan is free for one solo user with one seat. The Plus plan costs $39 per seat per month with unlimited seats, and the Enterprise plan has custom pricing with self-hosted and hybrid options. The framework code is MIT licensed. Check current plan limits before you scale a team.
Highlights
- Step-by-step tracing and debugging for agent runs
- Agent Server endpoints for deployment
- LLM gateway for controlling model calls and spend
- Automated monitoring with issue clustering
- Sandboxed execution for agent-generated code
