Abstract
A system is proposed herein that provides an artificial intelligence (AI)-driven autonomous testing framework that programmatically transforms network-controller object schemas into executable validation pipelines. The framework enables systematic and scalable validation of managed objects (MOs) in an intent-based networking system, such as an application policy infrastructure controller (APIC). Large language models (LLMs) interpret structured MO metadata and synthesize hierarchically valid configuration payloads, attribute-complete valid, invalid, and boundary test cases, deterministic verification logic, and cleanup sequences.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Radhakrishnan, Ramesh Babu; Madhavenpillai, Bharathan Thangam; Tickoo, Amrit; and Nagaraj, Praveen Kumar Tarikere, "AI-DRIVEN APPLICATION POLICY INFRASTRUCTURE CONTROLLER MANAGED OBJECT CONFIGURATION AND VALIDATION SYSTEM", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10421