AI Agents Architecture — Patterns for Cost-Effective Autonomy

Key Points

• The aim is to identify architectural patterns that improve the cost-effectiveness of AI agents' autonomy.
• Literature review on existing AI agents architecture
• Analysis of cost metrics related to autonomy
• Identification of effective patterns for implementation
• Several patterns were identified that significantly reduce operational costs
• Improved efficiency in resource allocation for AI operations
• Implementation of specific architectural designs led to measurable autonomy enhancements

Abstract