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papersTODAY 04:00 UTC

AgentKV: Phase-Aware KV Eviction for Agentic LLMs

A new arXiv paper introduces AgentKV, a KV-cache eviction scheme designed for agentic serving, where token usage and decode-time bandwidth demands far exceed those of ordinary chatbot workloads. Existing eviction methods typically score cached keys against queries taken from the most recent tokens; AgentKV instead adapts this scoring to the distinct phases of agent execution. The approach targets both cache capacity pressure and decode throughput in long-running agent pipelines.

arXiv AgentKV KV-cache eviction LLM inference optimization agentic LLMs agentic serving

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arXiv cs.CLAgentKV: Phase-Aware KV Eviction for Agentic LLMs ↗TODAY 04:00 UTC

arXiv cs.LGAgentKV: Phase-Aware KV Eviction for Agentic LLMs ↗TODAY 04:00 UTC