Model Evaluation

Measure what matters for your AI model

Stop guessing about model quality.

Systematically test and score your AI models with LangSmith's automated evaluation framework. Benchmark performance before shipping and track improvements in production.

Try LangSmith free. No credit card required.

LangSmith evaluation dashboard showing model quality scores and test results

How LangSmith evaluation works

1

Define your metrics

Create custom scorers that measure what matters for your use case. Use LLM-based graders, deterministic rules, or your own logic.

2

Run evaluations offline and online

Score test datasets before shipping. Then run continuous evals on production traces to catch quality drops automatically.

3

Improve with confidence

Compare model versions objectively. Iterate on prompts and parameters knowing exactly how changes impact your metrics.

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

Built for AI Model Quality

Teams trust LangSmith to systematically evaluate and improve their AI models at scale

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

LangSmith Model Evaluation Platform

Systematically test, score, and improve your AI models with data-driven evaluation

Every model output creates detailed traces that reveal exactly what your model is doing at each step. Trace execution paths, inputs, and outputs to identify issues and opportunities for improvement.

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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 model testing

Data-driven decisions

Measure what actually matters for your models. Replace gut-feel improvements with objective scoring that shows real progress on business metrics.

Catch regressions early

Detect quality drops before they impact users. Automated evaluation on every change ensures new versions don't regress on critical metrics.

Works with any model

LangSmith evals work with any LLM, fine-tuned model, or custom code. Framework agnostic evaluation that fits your stack.

How teams improved with LangSmith evals

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. Our engineers especially love the intuitive debugging experience—it's saved us a lot of time."

70% → 80%

Accuracy improvement with LangSmith evals at Rakuten

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Elastic

"LangSmith had a significant positive impact on the overall pace and quality of our development and shipping experience. The evaluation and testing capabilities let us confidently ship complex AI features at scale."

James Spiteri, Director of Security Product Management at Elastic

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Get a Demo of LangSmith for AI Evaluation

See how LangSmith evaluations help you measure, test, and improve your AI models with systematic scoring and quality benchmarking.