agent-task-delegation

Multi-agent load balancing is achieved by routing tasks based on available agent capacity, such as selecting the agent with the least connections. This prevents overload and maintains stable throughput as demand fluctuates.

Priority queue task delegation handles demand spikes by applying backpressure and rate limiting to prevent system overload. It supports timeout handling and safe dequeueing to avoid processing stale work during high traffic.

The best way to auto-scale agent pools is by monitoring utilization metrics to dynamically grow or shrink the active agent fleet. This ensures responsive workload distribution without manual scaling intervention.

Yes, supervisor-style decomposition is supported alongside router and broadcast delegation models. This allows a supervisor agent to break down complex incoming requests and synthesize results from specialized sub-agents.

Yes, backpressure and rate limiting are required for production resilience to prevent cascading overload. Without these mechanisms, sudden traffic spikes can overwhelm the agent fleet and degrade overall system latency.

Route requests by using queue-based delegation with prioritization and least-connections routing. This directs work to specialized agents like triage or research while queueing, throttling, and scaling to maintain stable latency.