[2603.00569] TopoEdge: Topology-Grounded Agentic Framework for Edge Networking Code Generation and Repair

[2603.00569] TopoEdge: Topology-Grounded Agentic Framework for Edge Networking Code Generation and Repair

arXiv - Machine Learning 4 min read

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Abstract page for arXiv paper 2603.00569: TopoEdge: Topology-Grounded Agentic Framework for Edge Networking Code Generation and Repair

Computer Science > Software Engineering arXiv:2603.00569 (cs) [Submitted on 28 Feb 2026] Title:TopoEdge: Topology-Grounded Agentic Framework for Edge Networking Code Generation and Repair Authors:Haomin Qi, Bohan Liu, Zihan Dai, Yunkai Gao View a PDF of the paper titled TopoEdge: Topology-Grounded Agentic Framework for Edge Networking Code Generation and Repair, by Haomin Qi and 3 other authors View PDF HTML (experimental) Abstract:TopoEdge is a topology-grounded, edge-deployable framework for end-to-end software-defined networking (SDN) configuration generation and repair, motivated by the brittleness of configuration artefacts under topology variation and by strict operational constraints on latency, privacy, and on-site execution. TopoEdge represents each target topology as a router-level graph and embeds it using a contrastively trained graph neural network (GNN), enabling nearest-neighbour retrieval of a verified reference configuration paired with an executable Python driver (a Topotest/pytest test script that orchestrates the emulated network and checks protocol assertions). The target topology, retrieved reference topology, and reference driver are assembled into a topology-grounded retrieval-augmented generation context (TopoRAG), which grounds a distributed, execution-centric generate--verify--repair loop coordinated by a central controller and realised by three role-specialised agents: (i) a Planning agent that produces a topology-consistent configuration plan a...

Originally published on March 03, 2026. Curated by AI News.

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