SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication

SafeSieve is a new algorithm for optimizing LLM-based multi-agent systems that reduces token usage by 12.4%-27.8% while maintaining 94.01% accuracy. The progressive pruning method combines semantic evaluation with performance feedback to eliminate redundant communication between AI agents.