Dashboards
Custom Logs Dashboards
Create custom dashboards to analyze and track your AI application logs across repositories using configurable metrics, filters, and charts.
Log dashboards help you visualize key metrics from your production logs. Create custom views by combining data from multiple repositories and applying filters to track what matters most.
For metric data:
Creating your first custom dashboard
1
Create a dashboard
Select Dashboards in the left sidebar and click “Create custom logs dashboard”
2
Name your dashboard
Enter a name that describes the dashboard purpose
3
Configure metrics
Add charts to monitor key metrics:
- Choose a visualization type
- Select metrics (trace count, latency, token usage)
- Pick repositories to analyze
Compare metrics across applications by selecting multiple repositories
4
View your dashboard
Track metrics over time with real-time updates
5
Analyze log details
Interact with charts to dive deeper:
- Hover to see exact data points
- Click any point to view corresponding logs
- Apply filters and time ranges to identify specific logs
Advanced configurations
Add filters
Customize charts with filters to track:- Specific user segments
- High-latency requests
- Error patterns
Data aggregation
Group data to analyze patterns:- Select Group by to segment data by model, tags, or repositories
- Once configured, save the entry to see your data
For metric data:
- Select metric visualization
- Choose time-based aggregation
- Pick sum for total traces or average for mean values
- Set aggregation frequency (daily, weekly, monthly)
Summary emails
Get dashboard updates directly in your inbox:-
Click the three-dot menu and select “Configure summary emails”
-
Set recipients and frequency for dashboard snapshots
