Tool overview
LangTest is listed under AI Governance Safety & Evaluation AI tools.
What is LangTest?
LangTest is an Apache-2.0 Python library for testing language models and NLP systems across robustness, bias, fairness, representation, accuracy, safety, and domain benchmarks.
Best for
Teams building reproducible language-model quality tests
Who is it for?
Decision note
Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.
Key features
More than 60 automated test types
Robustness, bias, fairness, safety, and accuracy testing
LLM, NLP, legal, and clinical benchmarks
Harness API, reports, and data augmentation
Use cases
Evaluate LLM and NLP behavior
Create regression gates for releases
Test healthcare and legal models
Generate robustness and bias test cases
Pros
- Free and Apache-2.0 licensed
- Supports many model providers and NLP frameworks
- Works in notebooks and CI pipelines
Limitations
Automated tests do not replace domain-expert review.
Benchmark coverage and language support depend on the selected model, task, and dataset.
Pricing details
Billing options
Pricing note
LangTest is free under Apache-2.0. External model APIs and compute are billed separately by their providers.
Supported languages
- Multiple languages through supported models and datasets
Integrations
Hugging Face
OpenAI
Cohere
AI21
Azure OpenAI
spaCy
John Snow Labs
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