Rogue is an open-source evaluation and red-team framework designed to test the reliability, safety, and policy compliance of AI agents. The platform automatically interacts with an AI agent by generating dynamic scenarios and multi-turn conversations that simulate real-world interactions. Instead of relying solely on static test scripts, Rogue uses an agent-as-a-judge architecture where one agent probes another agent to detect failures or unexpected behaviors. The system allows developers to define specific scenarios, expected outcomes, and business rules so that the framework can verify whether an agent behaves according to required policies. During testing, Rogue records conversations and produces detailed reports that explain whether the agent passed or failed each scenario. These reports include reasoning and evidence, helping developers understand why a particular failure occurred.
Features
- Automated agent-to-agent testing that simulates real conversations
- Scenario definition system for specifying expected behaviors and outcomes
- Policy compliance validation against business rules and constraints
- Dynamic red-team testing that explores edge cases and vulnerabilities
- Detailed pass or fail reports with reasoning explanations
- Monitoring of live agent interactions during evaluation sessions