Agent Testing

Test your agents like production code

Build datasets, run evals against them, and automate testing for your AI agents.

Create systematic quality gates that catch regressions before your users do.

Try LangSmith free. No credit card required.

LangSmith agent testing interface with evals and datasets

How LangSmith testing works

1

Build datasets from production

Capture real agent runs and manually curate them into datasets. Use these as ground truth for evaluating changes and regressions.

2

Run evals against changes

Execute your evaluators on datasets to measure agent quality before and after prompt or code changes.

3

Automate quality gates

Integrate evals into CI/CD so agents only ship to production if they pass quality thresholds. Move fast with confidence.

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

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Writer
Harvey
Vanta
Abridge
Clay
Rippling
Mercor
Listen Labs
dbt Labs
Klarna
Headspace
Lyft
Coinbase
Rakuten
LinkedIn
Elastic
Workday
Monday.com

Trusted for AI Agent Testing at Scale

Leading teams use LangSmith to test and validate their most critical agent applications

50M+
LLM Calls Traced
1B+
Events Ingested per Day
100K+
Monthly active orgs in LangSmith SaaS

LangSmith Testing Platform

Build datasets, run evals, and automate test suites for AI agents

Turn production traces into test datasets automatically. Capture real agent runs to build comprehensive test suites that reflect actual usage patterns.

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.

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Granular permissions

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

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SOC 2 Type II

Third-party security certification with comprehensive security controls.

Trust center
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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 testing

Systematic quality gates

Move beyond manual testing. Define evals that catch regressions automatically and enforce quality standards before production.

Production-informed tests

Convert real production traces into test datasets. Test against actual usage patterns instead of synthetic examples.

Framework agnostic

Works with any LLM framework or custom agent. Evaluate whatever stack you're building with.

Customer Stories

Rakuten

"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

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Elastic

"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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Get a Demo of LangSmith for Testing

See how LangSmith evals and datasets help you systematically test and improve your AI agents.