Published Dashboards

Agent Framework Logo
Agent Framework by fb1w2w3y
Comprehensive monitoring dashboard for AI agent framework performance, tracking operations, token usage, costs, errors, and detailed trace analysis. Monitor agent health, response times, success rates, and resource consumption in real-time.
uploaded on September 24, 2025
Downloads: 135
Reviews: 0
Agent Framework Workflow Logo
Agent Framework Workflow by fb1w2w3y
Comprehensive monitoring dashboard for Agent Framework workflows, tracking execution metrics, performance analysis, and trace visualization
uploaded on September 30, 2025
Downloads: 132
Reviews: 0
AI Foundry Logo
AI Foundry by fb1w2w3y
Visulization for monitoring Azure AI Foundry usage and latency across model deployments in a single Grafana dashboard.
uploaded on September 8, 2025
Downloads: 586
Reviews: 0
AKS Container Insights Logo
AKS Container Insights by fb1w2w3y
Global AKS Container Insights overview. Aggregates Azure Monitor Container Insights data from multiple AKS clusters and regions in a single view. Panels include: a geomap of total Running pod counts by Azure region, a Pods inventory table with status and restart highlights, and a Containers inventory table with image and lifecycle timestamps. Uses Azure Log Analytics (Kusto) via the Azure Monitor data source and supports subscription and Log Analytics workspace template variables. Default time range is last 3h; adjust as needed for investigations.
uploaded on April 26, 2020
Downloads: 992971
Reviews: 2
LiteLLM Logo
LiteLLM by fb1w2w3y
End-to-end LiteLLM observability using Azure Monitor (Application Insights) in Grafana. Track request latency percentiles (avg, p75/p90/p95/p99), request and token usage by model and by request route, and inspect recent calls with deep links to trace details. Uses template variables for Subscription and Application Insights resource; refreshes every 5m; default time range 7d.
uploaded on September 10, 2025
Downloads: 248
Reviews: 0
LiteLLM Trace Logo
LiteLLM Trace by fb1w2w3y
Detailed diagnostics view for a single LiteLLM request trace. Use the Trace Id variable to load a specific call and analyze its end-to-end behavior including spans, token usage, model details, completion output, and the full prompt conversation. Data is sourced from Azure Application Insights via the Azure Monitor datasource.
uploaded on September 12, 2025
Downloads: 218
Reviews: 0