This use‐case explores how Generative AI and Large Language Models (LLMs) can simplify and automate F5G‐Advanced (F5G‐A) and F6G network operations through intent‐based management. Rather than relying on specialized network admins with deep knowledge of various protocols and data models, admins can state a high‐level request (an “intent”), such as enabling telemetry on a new 10G‐PON port, and the LLM will produce the appropriate NETCONF client code automatically. By comprehensively analyzing user requirements and device‐specific information, the system generates valid XML requests that are ready to be submitted to the SDN agent of NETCONF-compatible network elements, removing the need for manual coding or extensive protocol expertise.
This approach not only reduces the risk of human error but also significantly cuts down the time needed to configure and maintain F5GA/F6G networks. The envisioned prototype focuses on generating API client code for various NETCONF‐enabled devices in real‐time, lowering the barrier for operators who might otherwise struggle with complex monitoring and configuration tasks. Additionally, it delivers a network log analysis based on LLMs for human-free network log analysis.
