LangSmith provides complete infrastructure and observability for developers to build, test, deploy, monitor, and govern production AI agents.
Featured in: Langfuse vs LangSmith for Reviewing LLM Traces
What it is
LangSmith is a comprehensive agent engineering platform designed to help teams build, test, deploy, monitor, iterate, and govern AI agents in production. It offers a complete suite of tools for handling complex agent workflows, tracking trace metrics, and managing model calls securely.
Key features
- Observability: Step-by-step tracing to debug agent runs and analyze complex traces in under a second.
- Evaluation: Turn expert reviews and production traces into standardized tests to score agent performance.
- Deployment: Purpose-built infrastructure for shipping long-running agents with persistent state and secure execution.
- Sandboxes: Isolated environments to run agent-generated code safely.
- Engine: Autonomous monitoring that clusters agent behavior, finds root causes, and suggests code or prompt fixes.
- LLM Gateway: Control model spending, set rate limits, and redact sensitive data before requests reach providers.
Who it's for
LangSmith is built for solo developers, engineering teams, and large enterprises building, scaling, and maintaining production-ready AI applications and autonomous agents.
Pricing
LangSmith offers a free Developer tier for solo users with pay-as-you-go trace limits, a Plus tier at thirty-nine dollars per seat per month for teams building agents, and custom Enterprise pricing for advanced hosting and security needs.
