First Demonstration of Multi-Agent LLM System for Million-Scale Optical Link Management in Global Production AIDCs
On the map: LLM agents and tool use → Agentic AI for wireless networks
Abstract (arXiv)
We present the first LLM-powered multi-agent system for autonomous fault management across millions of optical links in production AIDCs. Refined via SFT and continuous memory evolution, it achieves 97.7% F1 and over 60% fault-incident reduction, outperforming SOTA LLMs on a ten-week field data evaluation.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Agentic AI for wireless networks, one of 16 directions in LLM agents and tool use. Builds on 3 of its 12 references that are in the map. First posted on arXiv 24 Aug 2026.
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3 of 12 references.
References · 3
- 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
- 2025Plan-and-Act: Improving Planning of Agents for Long-Horizon Taskscited by 190
- 2026M^star: Every Task Deserves Its Own Memory Harnesscited by 9
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