
Optimizing Long-Horizon LLM Agents with Efficient Context Engineering
This research demonstrates that combining selective retention of recent tool interactions with automated summarization significantly improves LLM agent performance in enterprise workflows. The method achieves 91.6% task completion while reducing token consumption and inference time compared to full-history retention.





