Role-based access control systems for controlling access to a customized knowledge domain for secure agentic ai model development

A non-transitory computer-readable storage medium the computer-readable storage medium including instructions that when executed by a processor, cause the processor to:

• receive an input selecting functions for inclusion during creation of one or more agentic large language models, the functions being defined in accordance with role-based access controls (RBAC);
• provide an operative connection to one or more existing large language models to be included in a customized knowledge domain framework;
• obtain further instructions on use and deployment to be included as selectable metadata for establishing guardrails for the one or more agentic large language models that incorporate information of the customized knowledge domain framework, wherein the guardrails establish rules for integration and use of the one or more agentic large language models with respect to the one or more existing large language models;
• establish one or more parsers for selection to be applied to the one or more agentic large language models;
• facilitate selection of one or more prompt templates for structuring user inputs and model outputs for the one or more agentic large language models;
• provide an operative connection to one or more existing agentic large language models for selection;
• and
• provide access to one or more existing validation large language models for selection.

A computer-implemented method, comprising:

• receiving an input selecting functions for inclusion during creation of one or more agentic large language models, the functions being defined in accordance with role-based access controls (RBAC);
• providing an operative connection to one or more existing large language models to be included in a customized knowledge domain framework;
• obtaining instructions on use and deployment to be included as selectable metadata for establishing guardrails for the one or more agentic large language models that incorporate information of the customized knowledge domain framework, wherein the guardrails establish rules for integration and use of the one or more agentic large language models with respect to the one or more existing large language models;
• establishing one or more parsers for selection to be applied to the one or more agentic large language models;
• facilitating selection of one or more prompt templates for structuring user inputs and model outputs for the one or more agentic large language models;
• providing an operative connection to one or more existing agentic large language models for selection;
• and
• providing access to one or more existing validation large language models for selection.