Rhesis AI is an open-source tool for testing LLM-based and agentic applications. It helps engineering, product, and analytics teams capture requirements in one place, then uses AI to generate large sets of test scenarios.
Collaborative quality management
Instead of scattered spreadsheets and manual test cases, teams document expected model behavior directly in Rhesis AI. The system turns those expectations into structured tests that cover different dialogue branches and edge cases, helping catch issues earlier in:
application logic
prompts
model configuration
Automated tests for multi-turn conversations
Rhesis AI simulates multi-step conversations with LLMs and agents. You can validate how responses change with long context, complex instructions, and unusual user requests. This supports quality checks based on real usage patterns, not only single-turn prompts.
Open source with development workflow integration
Rhesis AI is distributed as open source and includes an SDK. It can be integrated into existing development pipelines for:
CI/CD
change review
regression testing
This creates a transparent, repeatable process for verifying LLM functionality against internal engineering standards.
