1.3 Traceability and Monitoring

MicroTx Workflows provides traceability for Agentic AI workflows through workflow execution details, task-level execution views, workflow logs, and server logs.

After a workflow runs, you can open the workflow execution details page to view the overall execution status and inspect each task in the workflow. For AI-powered workflows, this includes Agentic Tasks, Agentic Planner, GenAI Tasks, and any tools, human tasks, or system tasks used during execution.

The workflow execution view helps you monitor task status, input, output, timing, and failure information. The Logs section provides additional execution details that can help trace how an AI workflow progressed, including agent activity, planner steps, tool usage, and task-level results where available.

MicroTx Workflows also records server-side logs. Error logs are captured by default, and DEBUG or TRACE logging can be enabled through configuration for deeper troubleshooting in development or staging environments. Use these logs to investigate workflow execution issues, task failures, prompt resolution, tool invocation, model calls, retries, and other runtime behavior.