Empirical Evaluation of LRU Cache Policies in Agentic LLM Serving

A study evaluating LRU cache policies in agentic LLM serving found that LRU outperformed alternative strategies under real-world workloads, challenging claims in existing literature. The research highlights that capacity pressure and tool-calling patterns, rather than session idleness, drive recomputation needs.

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