Preprint
Jul 2026
Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework
This work presents Aries, a full-stack experimentation framework that separates task semantics from execution configurations, reconstructs cross-component agent trajectories with correlated system telemetry, and exposes stateful tool execution through a consistent interface across heterogeneous sandbox substrates.
Leonid Kondrashov, Hongrui Liu, JooYoung Park et al.
· 1 citation