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Paper · arXiv

Leyline: KV Cache Directives for Agentic Inference

Modern KV cache management assumes the chatbot workload: prompts arrive once and the cache grows append-only, so prefix caching and forward-only eviction are correct by construction. Agentic LLMs break this assumption. Their conversations evolve through policy-driven editing: failed tool calls are retried, stale outputs dropped, trajectories pivoted. Two distinct cache problems result. First, identical content moves to new positions between turns, invalidating exact-prefix caches even though the underlying KV would still be valid; recent work on position-independent caching for MLA addresses this reuse problem. Second, and this paper's focus, a policy may need to direct the serving system...

AuthorsBole Ma, Jan Eitzinger, Harald Koestler
Primary categorycs.DC
Published31 May 2026
Last updated at source31 May 2026
cs.DCcs.AIcs.LG
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