AI Agent Access Provisioning for Guided Database Orchestration
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Solution Overview
Problem
Existing systems for managing interactions between cloud computing environments and generative language models are limited, necessitating improved methods to integrate these models into cloud-based infrastructure for enhanced functionality.
Innovation Solution
A computing services environment equipped with an autonomous agent platform that allows for the creation and execution of customized autonomous agents capable of performing operations such as processing natural language input, retrieving data, generating text, and coordinating with other systems, integrated with a unified metadata framework and orchestration engine to ensure guideline compliance and human interaction when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If autonomous agents are integrated into cloud computing environments to perform complex operations, then functionality and automation capability are improved, but system complexity and management difficulty increase
Solution Approach 1:
The patent introduces an intermediary system comprising an orchestration engine, metadata framework, and access management layer that mediates between autonomous agents and cloud computing resources. This intermediary structure manages the complexity of agent-integrated systems by providing standardized interfaces, automated provisioning, and centralized control mechanisms, thereby enabling enhanced functionality without proportionally increasing management difficulty.
2Ease of operation
If access control is simplified for autonomous agents, then ease of operation is improved, but security and compliance control may be weakened
Solution Approach 1:
The patent implements self-service access management where autonomous agents automatically obtain necessary permissions and credentials through automated provisioning systems. The system includes automated credential management, dynamic permission assignment, and self-regulating access control mechanisms that simplify operations for agents while maintaining security through automated policy enforcement and compliance verification.
3Productivity
If human oversight is reduced for automated agent operations, then productivity is improved, but reliability and guideline adherence may deteriorate
Solution Approach 1:
The patent incorporates feedback mechanisms including automated monitoring systems, performance tracking, and compliance verification that continuously observe agent operations. The system provides real-time feedback on guideline adherence, automatically detects deviations from approved workflows, and triggers appropriate responses such as alerts or corrective actions, thereby maintaining reliability without requiring constant human oversight.
Data Source
AI summary
A computing services environment may include application servers providing computing services including access to a database system, a unified metadata framework including autonomous agent definitions referencing action definitions defining a plurality of actions capable of being performed within the computing services environment, an agent service configured to instantiate an autonomous agent instance based on an autonomous agent definition, and an orchestration layer configured to determine an orchestration plan based on novel planning text generated by a generative language model. The orchestration plan may include a subset of the plurality of actions identified in the novel planning text. The computing services environment may execute the subset of the plurality of actions within the computing services environment.