Agent Governance

Control your AI agents with confidence

Set safety constraints and implement guardrails for AI agents before they reach production.

Monitor behavior in real-time, detect violations, and take action. LangSmith gives you the visibility and control to govern agents safely.

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LangSmith dashboard showing agent guardrails and safety controls

How LangSmith implements agent guardrails

Define guardrails for your agents

Specify safety constraints, tool permissions, and behavior boundaries. LangSmith captures all agent actions so you can measure compliance.

Test and validate before production

Run evals on guardrails to catch violations and edge cases. Use production traces to improve constraints based on real agent behavior.

Monitor compliance at scale

Get real-time visibility into guardrail performance. Get alerted on violations, and iterate on constraints as your agents evolve.

See how it works

LangSmith powers top engineering teams, from AI startups to global enterprises

Built for Production AI Agents

Teams trust LangSmith to safely govern their most important agent applications

50M+

LLM Calls Traced

1B+

Events Ingested per Day

100K+

Monthly active orgs in LangSmith SaaS

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LangSmith Agent Engineering Platform

Build safety controls and governance into your agents from day one

See exactly what your agent is doing at every step. LangSmith's tracing captures all agent actions, tool calls, and decisions so you can identify where guardrails are violated or behaviors go off track.

Connect with our team to see how

LangSmith Observability interface showing trace details

Built for Enterprise

Security and compliance at scale

LangSmith meets the demanding security, performance, and collaboration requirements of large organizations building AI applications at scale.

Granular permissions

Role-based access control with org-level permissions and project isolation to meet your security and compliance requirements.

SOC 2 Type II

Third-party security certification with comprehensive security controls.

Trust center

Self-hosted deployment

Self-hosting options to maintain full control over your AI data and meet strict compliance requirements.

Why top AI teams choose LangSmith for agent safety

Total visibility into agent behavior

Trace every action your agent takes. Spot guardrail violations, unexpected tool usage, and risky behavior patterns before they cause problems.

Data-driven safety improvements

Run evals on guardrails before shipping. Use production traces as datasets to continuously improve constraints and catch new edge cases.

Works with any framework

Instrument any agent stack—LangChain, Anthropic, CrewAI, or custom code. Governance works the same way regardless of your tech choices.

How leading teams use LangSmith for agent safety

"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."

James Spiteri, Director of Security Product Management at Elastic

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"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."

Yusuke Kaji, General Manager of AI for Business Development at Rakuten