The August 27, 2025 paper introduces Confucius, a novel multi-agent Large Language Model (LLM) framework developed by Meta for intent-driven network management in hyper-scale environments. The framework models complex management tasks as directed acyclic graphs (DAGs) and integrates LLMs with existing tools using domain-specific languages (DSLs) to enhance planning and execution. Confucius leverages Retrieval-Augmented Generation (RAG) for long-term memory and employs specialized primitives like Translator, Selector, and Collector to improve translation accuracy and systematic validation for critical network operations. Successfully deployed for two years with over 60 onboarded applications, the system aims to significantly reduce manual engineering effort for tasks such as capacity planning and fault diagnosis while maintaining high accuracy. Source: https://dl.acm.org/doi/10.1145/3718958.3750537