worker-integration

You can coordinate background workers by routing tasks to optimal specialized agents based on trigger types. This requires defining a mapping of triggers to agents within your project settings to enable dynamic agent selection.

Performance monitoring relies on a feedback loop that tracks agent execution results over time. This mechanism enables performance-based agent selection by generating integration statistics for project-wide visibility.

Dynamic worker-agent dispatch is the process of routing tasks to optimal performers based on trigger type. You need it for scenarios like ultralearn, optimize, audit, and benchmark where specialized agent selection is required.

Yes, you must configure the project settings to enable memory and agent statistics. This setup establishes the feedback loop required for performance tracking and allows the use of memory-key patterns for cross-session results.

Yes, you can track integration statistics across sessions using memory-key patterns. These patterns store cross-session results, feeding the performance feedback loop to continuously optimize task routing.

Trigger-based routing requires a predefined mapping of triggers to agents to function correctly. Without this configuration in the project settings, the system cannot dynamically select agents or generate performance monitoring statistics.