AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Intent2Tc is presented, a closed-loop language-model-driven framework that translates business-level traffic-shaping intents into declarative sub-intents and subsequently into validated, executable Linux traffic control (tc) configurations and demonstrates the practical applicability of the proposed framework.
The NDT factory is introduced, a multi-agent software system that synthesizes executable behavioral NDTs on demand from semantic models using Large Language Model (LLM), demonstrating reliable synthesis with deterministic, verifiable execution.
This work introduces Autogenic network management, a reference architecture that extends agentic capabilities with self-programming, self reflection, self reflection, self-orienting, and self-architecting capabilities, and concludes with a research roadmap outlining the technical advances needed to make autogenic netwo...
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