worker-benchmarks

You can benchmark agentic worker performance by running a comprehensive test suite that measures latency, throughput, and memory usage across operations like trigger detection, registry management, and agent selection to identify optimization opportunities.

Benchmarking worker systems measures detailed metrics including latency, throughput, memory usage, and hit rates across operations like trigger detection, model caching, and concurrent worker handling to analyze system efficiency.

Yes, running worker benchmarks requires specific npm packages for execution and configuration via settings.json to properly measure and analyze the agentic-flow worker system performance.

Run performance benchmarks on your agentic-flow worker before deploying a new version to ensure performance targets are met and to identify any regressions in trigger detection or agent selection operations.

The best way to test concurrent worker handling and model caching performance is to run a comprehensive benchmark suite that analyzes these specific operations alongside trigger detection and registry management for detailed optimization insights.