Deep agents orchestrate multiple steps, tools, and LLM calls in sophisticated workflows.
LangSmith gives you complete visibility into every step of your agent chain, from planning to execution to recovery.
Try LangSmith free. No credit card required.
Add LangSmith to your LangGraph agent in seconds. Automatic tracing captures every tool call, LLM decision, and state transition.
View your complete agent execution tree. Identify where decisions went wrong, why tools were selected, and what the agent was reasoning.
Create test datasets from production traces. Run evals to measure agent performance and validate improvements before shipping.
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Thousands of teams build and trace deep agent chains on LangSmith
Visualize multi-step agent chains and debug complex interactions
Deep agents make complex decisions across multiple steps. LangSmith traces tool calls, LLM reasoning, and agent state transitions so you understand exactly where decisions happen and why.
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 tool selection, reasoning, state transitions, and recovery paths across your entire agent chain. Debug failures in seconds instead of hours.
Find bottlenecks in your agent chain. Test prompt changes and agentic strategies against real traces to measure impact before shipping.
LangSmith integrates seamlessly with LangGraph but works with any agentic framework. No vendor lock-in.
"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 LangSmith traces and debugs complex multi-step agent chains. Our team will show you how to gain visibility and control over your deep agent workflows.