Agent activity logs
The Agent Activity Logs tab unifies execution activity for specialized and workflow agents in Optimizely Opal. Monitor recent runs, troubleshoot failures, and cancel runaway executions in one place.
Access the Agent Activity Logs tab
To open the Agent Activity Logs tab from the Agents page, go to Agents > Agent Activity Logs.
To open the Agent Activity Logs filtered to a specific workflow agent, click More (...) > View Logs on the agent. See Workflow agent logs for details.
Filter executions
The Agent Activity Logs tab includes filters that narrow the list of executions in the table.
- Agent Type filter – Filter executions by agent type.
- Status filter – Filter executions by status. See Execution statuses for descriptions of each status.
- Triggered By filter – Filter executions by the user who triggered them.
- Date Range filter – Filter executions specific timeframe.
Search by agent name
Enter an agent name in the Search by agent name field. Results update as you type.
Configure columns
Show, hide, and reorder columns in the table to control which information displays.
- Click Configure Columns.
- Toggle a column on or off.
- Drag a column to reorder it.
The table includes the following columns:
- Type – An icon indicating the agent type (specialized or workflow).
- Execution Time – The date and time the execution started.
- Agent – The agent name and ID.
- Trigger – The trigger type that started the workflow execution. See Workflow agent triggers for descriptions of each trigger type.
- Triggered By – The user who triggered the execution.
- Status – The current execution status. See Execution statuses for descriptions.
- Credits – The approximate credit usage for the execution.
- Evaluation Score – The quality score for the execution. Only displays for executions with preferred output examples.
- Duration – The total time the execution took to run.
Execution statuses
The Status column displays the current state of each execution:
- Pending – Queued but not yet started.
- Running – Currently executing.
- Completed – Finished without errors.
- Failed – Encountered an error.
- Canceled – A user canceled the execution.
Cancel multiple executions
Cancel multiple executions at once instead of stopping each one individually. This is useful when a workflow triggers more runs than expected or when many executions queue up.
- Select the checkbox for each execution to cancel or click the checkbox in the heading to select all.
- Click Stop executions.
- Click Cancel Executions in the confirmation page.
Opal cancels only executions with Running or Pending statuses. When you cancel, any step in progress finishes and no further steps start.
Related articles
- Specialized agent logs – View detailed logs for specialized agent executions.
- Workflow agent logs – View detailed logs for workflow agent executions.
Note
If you use Opti ID, administrators can turn off generative AI in the Opti ID Admin Center. See Turn generative AI off across Optimizely applicationsTurn generative AI off across Optimizely applications.