$E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference

This paper introduces $E^3$-Agent, an executable and evolving agent designed for resource management in edge AI generated content (AIGC) deployments. It addresses the challenges of unknown and non-stationary performance in generative inference on edge devices by separating a fast-path router from an LLM meta-controller for adaptive resource allocation and mitigation of regime shifts.