mlsanityData to 14 Oct 2026

Towards a Playground to Democratize Experimentation and Benchmarking of AI Agents for Network Troubleshooting

arXiv 2507.01997 ↗First posted 1 Jul 2025cs.NI cs.AI cs.MAcited by 2

On the map: LLM agents and tool use → Agentic AI for wireless networks

Abstract (arXiv)

Recent research has demonstrated the effectiveness of Artificial Intelligence (AI), and more specifically, Large Language Models (LLMs), in supporting network configuration synthesis and automating network diagnosis tasks, among others. In this preliminary work, we restrict our focus to the application of AI agents to network troubleshooting and elaborate on the need for a standardized, reproducible, and open benchmarking platform, where to build and evaluate AI agents with low operational effort.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Placed in Agentic AI for wireless networks, one of 16 directions in LLM agents and tool use. Builds on 7 of its 26 references that are in the map. First posted on arXiv 1 Jul 2025.

Builds on

7 of 26 references.

References · 7

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  2. 2023RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Modelscited by 65
  3. 2024Building AI Agents for Autonomous Clouds: Challenges and Design Principlescited by 19
  4. 2016MeDICINE: Rapid Prototyping of Production-Ready Network Services in Multi-PoP Environmentscited by 3
  5. 2024Strada-LLM: Graph LLM for traffic predictioncited by 3
  6. 2025LLM-Sketch: Enhancing Network Sketches with LLMcited by 3
  7. 2022Direct Telemetry Accesscited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026SADE: Symptom-Aware Diagnostic Escalation for LLM-Based Network Troubleshootingcited by 4
  2. 2026SoK: Semantic Decision Engines in Network Control Loopscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Leveraging Multi-Agent System (MAS) and Fine-Tuned Small Language Models (SLMs) for Automated Telecom Network Troubleshooting
  2. 2026Evaluating Agentic Configuration Repair for Computer Networks
  3. 2026FaulT-Bench: Towards Benchmarking Network Troubleshooting LLM Agents under Unreliable User Tickets
  4. 2026Aether: Network Validation Using Agentic AI and Digital Twin
  5. 2026NetConfArena: An Executable Benchmark for LLM Agents in Closed-Loop Network Configuration
  6. 2026Beyond State Machines: Executing Network Procedures with Agentic Tool-Calling Sequences
  7. 2026TelcoAgent-Bench: A Multilingual Benchmark for Telecom AI Agents
  8. 2026Let AI Agents Translate Networks, Not Reason About Them