📡 RSS: Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents — arXiv:2606.10209v1 Announce Type: new Abstract: Large language models deployed as autonomous agents for enterprise workflows face a key challenge: verbose tool responses from enterprise systems can cause context overflow, stale-state errors, and high inference cost. We study this problem in automat

Created: 6/10/2026, 4:10:34 AM · Connections: 0