ReCache enables independent caching of resource representations to reduce inference-time overhead for tool-augmented LLM agents.
Read the original at arxiv.org→arXiv:2608.19662v1 Announce Type: new Abstract: Agentic language models repeatedly encode tool and skill schemas that recur across requests in different combinations and orders, preventing standard prefix caching...
Original headline: "ReCache: Efficient KV Cache Reuse and Compression for Tool-Augmented LLM Agents"
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- Aug 21, 04:00 UTC arXiv cs.CL lead source ReCache: Efficient KV Cache Reuse and Compression for Tool-Augmented LLM Agents