Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents

This research paper addresses the challenge of context overflow and high inference costs in LLM agents deployed for enterprise workflows. It proposes and evaluates methods like context pruning and automated summarization to improve task completion and reduce token usage and time on expense benchmarks.