Trace every LLM call, tool use, and agent step to debug and understand AI behavior. LangSmith gives you complete visibility into what your agents are doing, so you can fix issues fast and ship with confidence.
Try LangSmith free. No credit card required.
Add LangSmith to your agent code in one line. Works with any framework or custom code. Start capturing traces immediately.
View every LLM call, tool invocation, and decision your agent makes. See exactly what's happening at each step of execution.
Find root causes of failures in your traces. Test fixes with evals on production data and improve your agent's behavior.
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Teams trace billions of AI agent calls on LangSmith every day
Understand exactly what your agents are doing with full observability
Capture complete execution traces of your AI agents. See every LLM call, tool invocation, and decision your agent makes. Debug complex agent behaviors by tracing outputs back to their root causes.
Connect with our team to see how
Built for Enterprise
LangSmith meets the demanding security, performance, and collaboration requirements of large organizations building AI applications at scale.
Role-based access control with org-level permissions and project isolation to meet your security and compliance requirements.
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Self-hosting options to maintain full control over your AI data and meet strict compliance requirements.
Trace every LLM call, tool invocation, and agent decision. See exactly what your agents are doing and debug failures in seconds, not hours.
Find root causes instantly with detailed execution traces. Compare behavior across versions and understand why your agent made each decision.
Trace agents built with LangChain, LlamaIndex, LiteLLM, or your own code. Framework-agnostic tracing that integrates in minutes.
"Working with LangSmith on the Elastic AI Assistant had a significant positive impact on the overall pace and quality of our development and shipping experience. We couldn't have delivered the product experience our customers now have without LangSmith—and we couldn't have done it at the same pace without it."
"What we really needed was a more structured way to test new approaches, something better than just shipping and seeing what happened. LangSmith gave us a more scientific, structured way to understand what was actually working, whether that meant running pairwise evaluations or digging into why accuracy jumped from 70% to 80%. Our engineers especially love the intuitive debugging experience, it's saved us a lot of time."
See how to trace every LLM call, tool use, and agent step. Understand your AI behavior and debug faster with LangSmith.