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