A comprehensive guide to building AI agents using AWS Multi-Agent Orchestrator Framework, demonstrating three approaches: classifier-based routing, sequential chaining, and supervisor-based parallel p
rocessing.
The tutorial includes practical implementations from basic agent creation to complex multi-agent systems, while highlighting integration capabilities with AWS services.
Reasons to Read -- Learn:
how to implement three different patterns of multi-agent systems using AWS's framework, with practical code examples for each approach
how to build a production-ready AI system that includes intelligent routing, fallback mechanisms, and conversation storage using AWS's native tools
how to coordinate multiple AI agents for complex tasks like research analysis and customer support, with specific Python implementation details
8 min readauthor: Nwachukwu Chibuike
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