arXiv · 2601.03197
Software-Defined Agentic Serving
Abstract
As multi-agent LLM pipelines grow in complexity, existing serving paradigms fail to adapt to the dynamic serving conditions. We argue that agentic serving systems should be programmable and system-aware, unlike existing serving which statically encode the parameters. In this work, we propose a new SDN-inspired agentic serving framework that helps control the key attributes of communication based on runtime state. This architecture enables serving-efficient, responsive agent systems and paves the way for high-level intent-driven agentic serving.
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Saurabh Agarwal, Marco Laju, Jayanth Srinivasa, Myungjin Lee, Aditya Akella. 2026-01-06. Software-Defined Agentic Serving. https://arxiv.org/abs/2601.03197
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