Alert Configuration
Alerts in Picept are configured as part of your evaluation payload. Here’s how to set them up:Alert Options
enabled
: Master switch to turn alerts on/offoptions
: Configure how and when you want to be notifiedemail
: List of email addresses to receive notificationswebhook
: URL where alert data should be senton_type_status
: Specify which evaluator failures should trigger alerts
- Send an email to the specified addresses
- POST the alert data to your webhook endpoint
- Include detailed information about why the evaluation failed
Real-Time Monitoring Dashboard
The dashboard serves as your command center for AI quality assurance, providing an at-a-glance view of all your evaluation activities. Whether you’re running one-off evaluations or monitoring continuous production traffic, you have full visibility into your AI system’s performance. Every evaluation job in Picept is automatically logged and tracked in our intuitive monitoring dashboard. Here’s what you can do:
Job Tracking
- View all running and completed evaluation jobs
- Track progress in real-time
- Filter and search through job history
- Access detailed evaluation results
Performance Analytics
- Monitor success/failure rates
- Track response times and latency
- Analyze evaluation patterns
- Identify potential issues early
Alert Management
When an evaluation fails your specified criteria, the dashboard provides:- Visual indicators of failed evaluations
- Detailed failure analysis
- Alert history and patterns
- Response time tracking
Job Details
Click into any job to examine:- Individual evaluation results
- Detailed explanations for each evaluator
- Time stamps and duration metrics
- Complete evaluation context
Team Collaboration
The dashboard enables teams to:- Share evaluation insights
- Comment on results
- Track issue resolution
- Maintain evaluation history
All historical data is retained and searchable, making it easy to analyze trends and patterns over time.