Logs
The Logs view shows execution history for all your jobs and chains.
Click to enlarge
Overview
Every time a job executes, OAIZ creates a log entry with inputs, outputs, timing, and status information.
Action Area
| Action | Description |
|---|---|
| Add to Chat Context | Add selected logs to Chat context for debugging |
| Live Mode | Toggle auto-refresh to see new logs in real-time |
Filtering Logs
Use filters to find specific executions:
- Job — Filter by specific job
- Chain — Filter by chain
- Status — Success, Failed, Running
- Time Range — Filter by start and end time
Group by Chain Execution
Toggle Group by Chain Execution to see logs grouped by chain runs. This helps visualize how data flows through a multi-job workflow.
Log Details
Click any log entry to open the details view. This page gives you complete visibility into what happened during a job execution.
Click to enlarge
Job Execution Info
At the top, you'll see the Job Name and Status (success, failed, or running). The status is color-coded for quick identification.
Timing
The Timing card shows exactly when the job Started and Completed, including timestamps down to the second. This helps you understand execution duration and identify slow jobs.
Input Event
This section displays the event that triggered the job execution. Click to expand and see the full event payload, or use the external link icon to navigate directly to that event.
Execution Logs
The Execution Logs table provides a timestamped trace of everything that happened during the job run. For AI Agent jobs, you'll see:
- The exact query sent to the LLM
- When the action started executing
- Success or failure status
- Any events published by the job
Output Event
The Output Event section shows what the job produced. Expand Event Properties to inspect the full JSON payload, including all fields like body, sender information, and any custom properties your job added.
Open Chat
Use the Open Chat button in the top-right corner to start a conversation with the AI assistant about this specific execution. The log context is automatically included, so you can ask questions like "Why did this produce this output?" without manually adding context.
Live Mode
Enable Live Mode to automatically refresh the log list. New executions appear at the top as they happen. Useful for monitoring active automations.
Debugging with Chat
Select logs and click Add to Chat Context. Then ask the AI assistant questions like "Why did this job fail?" or "What went wrong in this execution?"