orchestrator

To coordinate multi-agent tasks, you can use a central orchestrator that delegates to specialized agents and aggregates results. This enables capability-aware task distribution across multiple workers for faster, reliable outcomes.

Fan-out and fan-in task distribution utilizes patterns like Supervisor, Pipeline, and Message Passing. These patterns enable central coordination with worker agents, allowing parallel task execution and result aggregation.

You can add fault tolerance to multi-agent workflows by applying built-in validation, retries, fallback strategies, and load balancing. This ensures reliable execution even when individual agents fail during task processing.

Yes, a pipeline pattern supports inter-agent communication and result aggregation. It allows sequential task processing where specialized agents pass intermediate results to the next stage for coordinated execution.

The best way to handle load balancing and health monitoring is through an orchestration layer that tracks agent capabilities and health. It dynamically delegates tasks to available workers, ensuring optimal resource utilization.

You need a supervisor pattern for hierarchical task management when coordinating complex multi-step workflows. It provides central coordination, delegating specialized subtasks to worker agents and aggregating their final results.