worker-integration

Workflow orchestration for agent selection maps task triggers like optimize, audit, and refactor to the most suitable specialized agents, recording performance metrics to refine future routing decisions. It establishes feedback loops to continuously improve dispatch consistency.

To route tasks automatically, you inspect the task trigger, confirm the recommended primary and fallback agents, review historical execution metrics, and dispatch the job to capture performance feedback for future routing.

Yes, worker-agent routing supports benchmark and refactor workflows by applying consistent pipeline phases, memory key conventions, and handoff coordination to ensure specialized agents execute tasks correctly.

The best way to track agent performance in pipeline orchestration is to record quality, success rate, latency, and execution count, using these metrics as benchmark thresholds to optimize routing and track compliance.

Memory coordination stores outputs in consistent trigger, topic, and phase keys, preserving context across pipelines and sessions so that specialized agents maintain execution history and routing consistency.

Yes, benchmark thresholds are required alongside performance scoring, execution history, memory key conventions, and feedback loops to optimize routing decisions and track compliance across worker-triggered tasks.