US 12,463,867 B1
Agentically-orchestrated foundational models for cloud architecture development
Aayush Srivastava, New York, NY (US); Alison Marlene Andrews, Stonington, CT (US); Priyanka Vergadia, San Jose, CA (US); and Adrian Mircea Nenu, London (GB)
Assigned to GOOGLE LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on May 1, 2024, as Appl. No. 18/651,871.
Int. Cl. H04L 41/0813 (2022.01); H04L 67/10 (2022.01)
CPC H04L 41/0813 (2013.01) [H04L 67/10 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
obtaining, by a computing system comprising one or more processor devices, user response information comprising information indicative of cloud architecture requirements for a cloud architecture to fulfill;
based on the user response information, using, by the computing system, a plurality of agentic orchestration models to generate a respective plurality of role outputs, each of the plurality of agentic orchestration models comprising a machine-learned language model prompted to fulfill a corresponding cloud architecting role of a plurality of cloud architecting roles, wherein one of the plurality of role outputs is indicative of a plurality of proposed generic component placeholders for components necessary to meet the cloud architecture requirements; and
based on the plurality of role outputs, generating, by the computing system, a proposed architecture output comprising a visual representation of the proposed generic component placeholders.