View AI developer tools metrics

This document describes how to view usage metrics and telemetry for AI developer tools in your organization, such as Google Antigravity and the Antigravity CLI. These metrics show user adoption, token consumption, API calls, and tool execution.

Before you begin

Before you view AI developer tools metrics, make sure you meet the following prerequisites:

  • Turn on AI developer tools: To view AI developer tools metrics, your organization must turn on AI developer tools for the project. See Turn on AI developer tools.

  • Invoiced Cloud Billing account: Your project needs Cloud Billing enabled and an invoiced account. See Cloud Billing account types.

  • Supported editions: Users need a subscription to the Gemini Enterprise Standard, Plus, or Pay-as-you-go edition.

  • Required roles: To access the Developer tools metrics page in the Google Cloud console, you need the Gemini Enterprise Admin (roles/discoveryengine.agentspaceAdmin) role.

Access the metrics dashboard

To view AI developer tools metrics in the Google Cloud console, do the following:

  1. In the Google Cloud console, go to the Gemini Enterprise page.

    Go to Gemini Enterprise

  2. Select the Google Cloud project where you enabled AI developer tools.

  3. In the navigation menu, click Developer tools metrics.

  4. Use the time-range controls in the top-right corner of the dashboard to adjust the reporting timeframe:

    Control Description
    Time-range selector menu By default, the dashboard displays data for Last 1 day with automatic live refreshing enabled. Click the menu to do any of the following:
    • Type a custom duration directly into the Relative time filter field (for example, 15m, 1h, 1d, or 1w).
    • Select a preset relative timeframe: Today, Yesterday, Last 15 minutes, Last 30 minutes, Last 1 hour, Last 3 hours, Last 6 hours, Last 12 hours, Last 1 day, Last 2 days, Last 7 days, or Last 14 days.
    • Click Start and end times to specify a custom start and end date and time for the reporting window.
    • Click Around a time to specify a date and time and display metrics centered around that timestamp.
    • Click Time zone to select a different display timezone for the charts (for example, PDT (UTC-7)).
    Left and right arrows Shift the reporting timeframe backward () or forward () in time by the duration selected in the menu. For example, if Last 1 day is selected, clicking shifts the charts backward by one day.
    Zoom out of time range Click to zoom out of a specific time range. All charts update to show data for the zoomed-out time range. To zoom in and reset the view, select a duration from the Time-range selector menu.
    Auto-refresh Toggle automatic live refreshing of dashboard data on or off when viewing a relative timeframe. When an absolute time range is selected (such as custom start and end times or a historical window), auto-refresh is disabled because auto-refresh isn't supported for absolute time ranges.

Explore chart data

Each chart on the Developer tools metrics dashboard provides interactive controls to help you inspect time series, correlate metrics with logs, and analyze underlying data:

Control Description
Information Next to the chart title, click Information to view details about the filters, groupings, and aggregation properties applied to the chart's metric query.
Create alert policy On metric line charts, click Create alert policy in the chart toolbar to open the alerting workflow in Cloud Monitoring pre-populated with the chart's time-series query. You can then configure threshold conditions and notification channels for the metric.
Explore data In the chart toolbar, click Explore data to open the metric query in Metrics Explorer. In Metrics Explorer, you can inspect, filter, group, and modify the underlying time-series query across different dimensions, or save customized views to a custom dashboard.
View in full screen In the chart toolbar, click More chart options, and then select View in full screen to expand the chart to fill your screen for detailed inspection of time series and legend data.
Inspect related logs You can correlate metric data with log entries written around the same timeframe to troubleshoot activity and errors:
  • Dashboard view: In the chart toolbar, click More chart options, and then select Inspect related logs to open a split-view panel displaying the chart alongside correlated log entries.
  • Data-point tooltip: On any chart time series, hold your pointer over a specific data point, and then select Inspect related logs from the tooltip. In this mode, the split-view panel filters log entries to a window five minutes before and after the selected timestamp.

Available metrics

The following table lists all metrics available on the dashboard.

Section Metric name Description
Active Users (Adoption) An active user is a unique user who initiated at least one AI developer tool action (such as an API request, prompt, or tool execution) during the reporting timeframe.
Hourly active users (average) Displays the average number of unique active users per hour over the selected timeframe.
Daily active users (average) Displays the average number of unique active users per day over the selected timeframe.
Weekly active users (average) Displays the average number of unique active users per week over the selected timeframe.
Monthly active users (average) Displays the average number of unique active users per month (28-day active users) over the selected timeframe.
Hourly Active Users A trend line chart that shows the number of unique active users by hour over the selected timeframe.
Daily Active Users A trend line chart that shows the number of unique active users by day over the selected timeframe.
Weekly Active Users A trend line chart that shows the number of unique active users by week over the selected timeframe.
Monthly Active Users A trend line chart that shows the number of unique active users by month (28-day active users) over the selected timeframe.
Tools & API calls Total Tokens The total number of combined input and output tokens consumed by AI developer tools over the selected timeframe.
Daily Token Usage A line chart showing daily token consumption over time.
Daily API Calls A line chart showing the daily count of API calls made by AI developer tools, including an error breakdown by error_type label (for example, quota limits, authentication errors, or client errors).
Daily Tool Calls A line chart showing the daily count of tool calls initiated by AI developer tools.
Daily Tool Calls Accepted A line chart showing the daily count of agent-proposed tool call suggestions that users accepted and executed.

Limitations

The following limitations apply to AI developer tools metrics:

  • The Daily Tool Calls and Daily Tool Calls Accepted metrics don't display data.

What's next