AI Agent Architecture Patterns: From Prototype To Production

The gap between prototypes and production-ready systems is addressed, focusing on structuring the core logic. The engineering challenge involves selecting appropriate architectural patterns for intelligent agents to ensure stability amidst unexpected inputs. Design choices significantly impact data flow and decision-making, ensuring that individual errors do not compromise automation. Intelligent agent patterns operate on behavioral and topological levels. Behavioral patterns define what an agent can do, while topological patterns determine how agents coordinate within the system.