Execution History

The execution history shows all automation runs, helping you monitor performance and debug issues.

Viewing Execution History

Access execution history from:

Automations page - Click an automation to see its executions
Execution modal - View details for a specific execution

Execution List

The execution list displays:

Column	Description
Status	Success, Failed, Running, or Pending
Trigger Event	What triggered this execution
Started	When the execution began
Duration	How long the execution took
Session	Link to the created session

Filtering Executions

Filter the list by:

Status - Show only successful, failed, or running
Date range - Executions within a time period
Trigger type - Filter by event source

Execution Details

Click an execution to view detailed information:

Trigger Information

See what triggered this execution:

Trigger: GitHub Issue
Repository: my-org/my-app
Issue: #42 - Login button not working
Labels: bug, auth
Triggered at: 2024-01-15 10:30:42 UTC

Action Results

View what the action produced:

Action: Start Session
Session ID: ses_abc123
Status: Completed
Duration: 3m 42s
Model: Claude 3.5 Sonnet

Session Link

Click through to the full session to see:

Complete conversation history
Agent tool calls and outputs
Any artifacts produced

Error Information

For failed executions, view error details:

Error: Failed to create session
Reason: AI provider rate limit exceeded
Timestamp: 2024-01-15 10:30:45 UTC

Execution States

Running

Execution is currently in progress:

Trigger received
Session being created or active
Agent working on the task

Success

Execution completed successfully:

Session created and finished
No errors encountered
Results available

Failed

Execution encountered an error:

Trigger failed to process
Session creation failed
Agent encountered an error
Timeout exceeded

Pending

Execution is queued:

Waiting for resources
Rate limited (will retry)

Debugging Failed Executions

Common Failure Causes

Cause	Solution
AI provider rate limit	Wait and retry, or use a different provider
Invalid credentials	Update credentials in Settings
Repository access denied	Check GitHub App permissions
Session timeout	Increase timeout or simplify task
Agent error	Review agent prompt, check session logs

Investigation Steps

Check trigger data - Was the right event received?
Review configuration - Are action settings correct?
Examine session - If created, what did the agent do?
Check credentials - Are API keys valid?
Review logs - Look for specific error messages

Retrying Executions

For failed executions:

Open execution details
Click Retry
Execution re-runs with the same trigger data

Monitoring Best Practices

Regular Reviews

Check execution history periodically:

Daily for critical automations
Weekly for routine workflows
After any configuration changes

Success Rate Tracking

Monitor your success rate:

Healthy: greater than 95% success
Needs attention: 80-95% success
Investigate: less than 80% success

Alert on Failures

Set up notifications for failed executions:

Enable email notifications in Settings
Configure Slack integration (if available)
Monitor dashboard for failure indicators

Metrics and Analytics

Execution Volume

Track how often automations run:

Executions per day/week/month
Peak execution times
Trigger distribution

Performance Metrics

Monitor execution performance:

Average execution duration
Time to first response
Session completion time

Cost Tracking

Understand automation costs:

API token usage per execution
Compute time consumed
Total cost per automation