Open-source test generation SDK for LLM applications

Test smarter, not harder. Build context-specific test sets and collaborate with subject matter experts to refine and scale AI evaluations—throughout development and after deployment.
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Comprehensive test sets

Test Gen AI applications rigorously across multiple dimensions, including security, bias, reliability, and compliance. Built on industry standards from NIST, MITRE, and OWASP, ensuring robust and defensible evaluations.

Adaptive & context-aware

Automatically generate multi-turn, scenario-driven test cases tailored to your application. Test suites dynamically refine based on real-world usage and expert feedback to improve accuracy and relevance.

Domain-specific coverage

Leverage pre-built, domain-specific test benches designed to detect sector-specific vulnerabilities in financial services, insurance and more—ensuring reliability and reducing operational risk.

Always up-to-date

Stay ahead of emerging threats with automated test updates. Our SDK helps to continuously integrate new adversarial patterns and business-relevant risks, keeping your evaluation process current and effective.

Automated & scalable

Run iterative, large-scale test evaluations with minimal setup. Our SDK integrates into CI/CD pipelines, enabling automated, repeatable testing for robust AI validation at scale.

Expert-guided

Enhance collaboration between developers, domain experts, and compliance teams. Our SDK allows human-in-the-loop evaluations, integrating expert feedback to refine test cases and improve Gen AI performance iteratively.
HOW IT WORKS

Turning business knowledge into relevant test sets for your LLM application.

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HOW TO GET STARTED
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INTEGRATIONS

Works with your favorite evaluation frameworks.

The Rhesis SDK complements many of the popular Gen AI test execution frameworks. By leveraging existing project assets, such as the code base itself, Rhesis AI streamlines test scenario management, ensuring the tests developed are grounded in domain expertise and reflect actual application needs.
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TEST SETS

Browse domain-specific datasets on Hugging Face.

Access and explore a curated directory of reusable test sets on Hugging Face to ensure comprehensive, up-to-date evaluations for evolving LLM applications.
Robustness: Validate performance against adversarial inputs.
Reliability: Ensure consistency within knowledge areas & real-world contexts.
Compliance: Meet industry and regulatory standards with confidence.
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Who is this for?

Whether you're developing, managing, or auditing Gen AI applications, our SDK helps you enhance evaluation and ensure reliability—both before and after go-live.
"A key focus of mine is to ship Gen AI applications that are thoroughly tested for global deployment, ensuring no vulnerabilities are overlooked."
AI Engineer
"My main task is to implement testing strategies that keep our AI applications aligned with compliance standards like the EU AI Act, while staying ahead of security and performance risks."
Head of AI Teams
"I need to ensure our AI solutions are thoroughly validated before deployment to avoid operational disruptions and reputational damage due to unexpected failures."
AI Product Lead
"My responsibility is to define a comprehensive testing framework that adheres to standards like MITRE, NIST, and OWASP, but building this from scratch is overwhelming."
AI Security Architect
"My main challenge is ensuring our AI systems are tested against evolving adversarial threats, especially with rapid changes in Gen AI."
Sr. AI Engineer
"I need to identify and eliminate bias from our AI models to ensure fair and equitable outcomes in decisions like insurance claims and loan approvals."
Data Scientist
"We need automated test case generation to ensure that no critical scenario is missed in our AI validation process."
Automation Engineer
"My priority is to build trust in our AI products by ensuring they meet high standards of performance and security."
Product Manager
"I need full transparency into our AI’s performance, including clear insights into any vulnerabilities or compliance gaps."
Chief Technology Officer
"I’m responsible for creating industry-specific test cases that go beyond generic scenarios to cover the unique requirements of our AI applications."
AI Solution Architect
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Connect with a community focused on getting LLM applications & AI agents into production with confidence! Collaborate on context-specific test cases, build large-scale test suites, and advance your evaluations to ensure reliability, robustness, and compliance.
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