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Monitoring dashboard insights in Microsoft Foundry with Ask AI (preview)

Items marked (preview) in this article are currently in public preview. This preview is provided without a service-level agreement, and we don’t recommend it for production workloads. Certain features might not be supported or might have constrained capabilities. For more information, see Supplemental Terms of Use for Microsoft Azure Previews.
After your agent is in production, set up and view various metrics in the monitoring dashboard or control plane dashboard. Use Ask AI—the built-in chat assistant—to get a summary of your dashboard data and recommendations for next steps without leaving the Foundry portal. This article describes the integrated user experience and system behavior for getting a dashboard summary or insights through Ask AI.

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Prerequisites

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Start a chat with Ask AI

You can start a chat with Ask AI from any page in the Foundry portal.
  1. Select the Ask AI icon at the top of the page.
  2. Select one of the predefined prompts from the Ask AI banner under Build/Model/Monitor, Build/Agent/Monitor, or overview page.
Screenshot of the monitor dashboard with the Ask AI banner at the top.
Screenshot of the monitor dashboard overview page.

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Get a summary or insight of your dashboard

You can ask questions like:
  • “Give me a summary of the dashboard”
  • “Analyze the performance trend of my dashboard”
Or you can select a predefined prompt under the Ask AI banner, and the question is passed to Ask AI. Ask AI provides highlights and abnormal behavior insights on your dashboard for the selected time period and provides an annotated link to the chart it refers to. When you select an annotated link, it scrolls directly to the chart with a highlighted background, making it easy to distinguish.
Screenshot showing a monitor dashboard summary from Ask AI.
Ask any free-form questions related to your dashboard to get recommended next steps. Suggested action items include:
  • “Investigate the cause of the latency increase on [the abnormal date] to ensure it isn’t a recurring or growing issue.”
  • “Monitor whether future requests show similar latency patterns when usage increases.”
  • “Consider load testing or profiling to identify potential bottlenecks causing slower response times.”
  • “Optimize prompt and completion token usage to reduce load and costs as usage scales.”
  • “Monitor token consumption and request frequency trends for early signs of performance degradation.”

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