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LLM agents struggle to juggle multiple tasks when tool use involves realistic delays, revealing critical weaknesses in temporal reasoning and coordination.
LLM serving systems can boost Time-To-First-Token (TTFT) attainment by up to 2.4x simply by prioritizing network flows based on a novel approximation of Least-Laxity-First scheduling.
