How to reduce LLM multi-agent communication costs?
CUT THE CRAP: AN ECONOMICAL COMMUNICATION PIPELINE FOR LLM-BASED MULTI-AGENT SYSTEMS
October 4, 2024
https://arxiv.org/pdf/2410.02506This paper proposes a new framework called AgentPrune to make communication between AI agents more efficient. The authors found that many messages passed between agents are unnecessary, wasting time and resources. AgentPrune acts like a smart filter, identifying and removing those useless messages without hurting the overall performance. This is particularly relevant for LLM-based multi-agent systems, which often involve complex communication patterns and can be computationally expensive. AgentPrune helps reduce these costs while maintaining or even improving performance.