Speaker
Description
Agentic AI has the potential to assist accelerator operations through natural-language interaction, automated analysis, and execution of complex workflows. Yet deploying such capabilities at operating user facilities remains challenging. Development opportunities on production machines are limited, operational risk is high, and software developed for one facility often requires substantial effort to adapt to another.
This work presents Osprey, an agentic AI platform designed to address these challenges through a portable architecture that separates facility-specific knowledge and interfaces from the underlying agent framework. Osprey provides semantic access to control-system information, governed interaction with operational tools, and facility-grounded memory, enabling the same agent capabilities to be deployed across multiple accelerator facilities with minimal modification.
We argue that portable software platforms and dedicated AI test facilities play complementary roles in accelerating adoption. Test facilities provide an environment where agent capabilities can be developed, validated, and challenged without impacting scientific operations, while portable platforms ensure that validated capabilities can be transferred efficiently to production facilities. Drawing on experience deploying Osprey across multiple DOE accelerator facilities, we discuss architectural requirements for portability, safety validation, and scalable adoption of agentic AI in accelerator operations.
