Inspect Petri is an auditing agent designed to test alignment hypotheses in language models through automated, end-to-end scenarios. It generates realistic audit scenarios from seed instructions, orchestrates multi-turn interactions between an auditor model and a target model, and simulates tools and rollbacks to probe model behaviors. Transcripts are then scored by a judge model using a consistent rubric, enabling researchers to systematically detect alignment failures and reward hacking in AI systems.