DEMO: AI5GTest: LLM based Automation for 5G O-RAN Testing

The transition to Open Radio Access Networks (O-RAN) introduces testing challenges due to multi-vendor interoperability requirements, with existing manual frameworks being error-prone and unscalable. To address this, we propose AI5GTest, an AI-driven framework that automates O-RAN component testing using cooperative Large Language Models (LLMs). Gen-LLM generates test flows from O-RAN/3GPP specifications, Val-LLM validates signaling compliance, and Debug-LLM diagnoses failures. A human-in-the-loop mechanism ensures transparency by verifying specifications before validation. Evaluated on 24 test cases with the srsRAN 5G stack, AI5GTest reduces test execution time significantly compared to manual methods while maintaining high accuracy, demonstrating scalable, trustworthy automation for O-RAN ecosystems.