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On this page
  • Review Workflow Run Metadata
  • How to Access Run Metadata
  • Understanding Each Metadata Section
  • Using Metadata for Optimization

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  1. Grids
  2. Run Workflows in the Grid

Review Workflow Run Metadata

Last updated 2 months ago

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Review Workflow Run Metadata

After a workflow has been executed, AirOps provides detailed metadata that helps you understand what happened during the run. This information is essential for troubleshooting, optimizing performance, and monitoring resource usage.

How to Access Run Metadata

When viewing a completed workflow run, you'll see several tabs at the top of the results panel:

  1. Output: Shows the final result produced by your workflow

  2. Inputs: Displays all parameters and values that were used to run the workflow

  3. Logs: Provides a step-by-step breakdown of the execution process

  4. Details: Contains technical information about the workflow run

Understanding Each Metadata Section

Inputs

The Inputs tab shows exactly what data was fed into your workflow, including:

  • Any keywords or text inputs

  • Brand Kit selections

  • File uploads

  • Configuration parameters

This information helps you verify that the correct data was used for processing.

Logs

The Logs tab offers a comprehensive breakdown of your workflow execution:

  • Each step that was executed, with timestamps

  • Execution time for individual steps

  • Task usage per step

  • Status indicators (success or error)

  • Output from each step in the workflow

Logs are particularly valuable for identifying bottlenecks or troubleshooting errors in complex workflows.

Details

The Details tab provides technical information about the workflow run, including:

  • Status (success, error, pending)

  • Version number

  • Execution time and date

  • Total runtime duration

  • Number of tasks consumed

  • Unique identifier (UUID)

  • Source of execution (API, grid, manual)

  • Token usage broken down by model, input, and output

Using Metadata for Optimization

Workflow metadata helps you:

  • Identify which steps are consuming the most time or resources

  • Troubleshoot errors by pinpointing exactly where a workflow failed

  • Monitor token usage to optimize costs

  • Verify that inputs were processed as expected

  • Track execution history for auditing purposes

By regularly reviewing this metadata, you can adjust your workflows for better performance, lower costs, and more reliable results.