Intent-based networking aims to simplify network operation by translating operator intents into a collection of policies, configurations, and control actions. However, this translation process relies on heuristics and loose coupling. It often results in unpredictable behavior and ambiguous safety standards. This paper presents a Contract-based Agentic Intent Framework (CAIF) for the radio access network (RAN). The proposed framework employs a closed-loop agentic pipeline that systematically audits user objectives against formal RAN constraints prior to actuation. The proposed CAIF decouples probabilistic intent extraction from strictly governed policy execution to enable the enforcement of deterministic safety guarantees. We use network slicing as a representative use case to demonstrate the design flow and validate the effectiveness of the proposed approach on an O-RAN testbed. Experimental results show that the closed-loop agentic pipeline of the proposed CAIF can effectively eliminate harmful intent executions observed in direct-actuation baseline approaches.

翻译：意图驱动网络旨在通过将运营商意图转化为一系列策略、配置与控制动作，从而简化网络运维。然而，该转化过程依赖于启发式方法与松耦合机制，常导致不可预测的行为与模糊的安全标准。本文提出一种面向无线接入网络的基于契约的智能体意图框架。该框架采用闭环智能体流水线，在执行前依据形式化的RAN约束对用户目标进行系统性审查。所提出的CAIF将概率性意图提取与严格管控的策略执行解耦，以实现确定性安全保证的强制实施。我们以网络切片作为典型用例，展示设计流程，并在O-RAN测试平台上验证所提方法的有效性。实验结果表明，所提CAIF的闭环智能体流水线能有效消除直接执行基线方法中观察到的有害意图执行。