Petri: An open-source auditing tool to accelerate AI safety research

Introduced Petri, an open-source auditing tool that deploys automated agents to test target AI systems through diverse multi-turn conversations. Petri simulates realistic environments, conducts conversations with target models, and uses LLM judges to score behavior across safety-relevant dimensions, surfacing concerning transcripts for human review. This enables rapid hypothesis testing and systematic exploration of model behaviors, complementing manual auditing and providing quantitative metrics for behaviors like deception, sycophancy, and self-preservation.