AINeutralarXiv – CS AI · 4h ago6/10
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Local-Splitter: A Measurement Study of Seven Tactics for Reducing Cloud LLM Token Usage on Coding-Agent Workloads
Researchers present a systematic study of seven tactics for reducing cloud LLM token consumption in coding-agent workloads, demonstrating that local routing combined with prompt compression can achieve 45-79% token savings on certain tasks. The open-source implementation reveals that optimal cost-reduction strategies vary significantly by workload type, offering practical guidance for developers deploying AI coding agents at scale.
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