workflow-expert

Design multi-agent workflows by decomposing tasks into structured phases and defining agent responsibilities. This approach outlines data flow and error handling strategies, utilizing proven patterns like sequential, fan-out/fan-in, and orchestrator for robust automation.

Multi-agent systems orchestration uses patterns including sequential, fan-out/fan-in, router, orchestrator, and critic-refiner. These coordination models define how agents collaborate effectively, ensuring clear communication and efficient task execution across complex workflows.

Break down complex tasks using workflow design principles that decompose processes into structured phases. By defining specific agent responsibilities and data flow, you establish clear communication and robust error handling for automated sequences.

Yes, you can coordinate coding, testing, and documentation agents using sequential, fan-out/fan-in, or router patterns. These structured patterns define the optimal sequence and data flow between agents, facilitating efficient multi-agent task execution.

Handle errors in multi-agent task decomposition by outlining explicit error handling strategies during workflow design. Applying structured patterns like orchestrator or critic-refiner ensures robust automation and clear communication when agents encounter failures.

Use orchestrator patterns for centralized task execution control and router patterns to direct tasks to specific agents based on input criteria. Both structured patterns define agent responsibilities and data flow for complex multi-agent interactions.