Customize agent workflows with advanced orchestration techniques using Strands Agents

This article demonstrates how to build orchestrated multi-agent AI systems using Strands Agents, an open-source SDK for production-ready agent development. It compares three orchestration patterns for complex workflows using airline booking tasks.

• ReAct: Single agent with interleaved reasoning and tool use; fastest for simple tasks
• ReWOO: Separates planning, execution, and synthesis into distinct stages for governance
• Reflexion: Implements iterative refinement through self-critique and revision cycles
• Strands Agents provides GraphBuilder for connecting agents into directed workflows
• ReWOO excels at policy-aligned decisions requiring ordered dependencies and audit trails
• Reflexion handles multi-constraint choices and trade-offs but with higher latency
• Hybrid approach combines ReWOO's planning discipline with ReAct's local flexibility
• Evaluation on τ-Bench airline dataset shows pattern trade-offs in speed, cost, and accuracy

The article provides practical guidance on selecting orchestration patterns based on task complexity, policy requirements, and acceptable latency, with code examples and GitHub resources for implementation.