Dispatching Parallel Agents

You orchestrate parallel agents by instantiating a ParallelDispatcher and AgentPools, submitting PriorityTasks, and calling dispatch_all_tasks to execute high-concurrency workloads across distributed pools.

The ParallelDispatcher implements scalable policies and health monitoring to dynamically scale agent pools, routing tasks across pools in real-time to balance load based on current demand.

Yes, the system handles cross-pool dependencies and priority-based dispatching through its priority queue system, enabling complex inter-pool task dependencies during parallel agent execution.

Load-balancing strategies route tasks across AgentPools via the ParallelDispatcher, distributing high-concurrency workloads evenly to maximize resource utilization and throughput.

Health monitoring is built into the ParallelDispatcher, tracking AgentPool status during high-concurrency task processing to prevent bottlenecks and enforce scalable policies.

Avoid parallel dispatching for workloads lacking high-concurrency requirements or cross-pool dependencies, as the overhead of managing AgentPools and scalable policies outweighs throughput benefits.