docs/content/copilot/reference/copilot-usage-metrics/copilot-usage-metrics.md

title, allowTitleToDifferFromFilename, shortTitle, intro, permissions, versions, type, topics

title	allowTitleToDifferFromFilename	shortTitle	intro	permissions	versions	type	topics
Data available in Copilot usage metrics	true	Copilot usage metrics data	You can display and export {% data variables.product.prodname_copilot_short %} usage metrics data in the dashboard and via APIs.	Enterprise owners and billing managers	fpt ghec * *	reference	Copilot Enterprise

{% data reusables.copilot.usage-metrics-preview %}

The {% data variables.product.prodname_copilot_short %} usage metrics dashboard and APIs display and export data using a consistent set of fields. This reference lists all available metrics and describes how to interpret their values in both dashboard visuals and NDJSON or API exports.

For guidance on how to read and interpret these metrics, see AUTOTITLE.

Dashboard metrics

These metrics appear directly in the {% data variables.product.prodname_copilot_short %} usage dashboard.

Metric	Description
Agent adoption	Percentage of {% data variables.product.prodname_copilot_short %}-licensed active users who tried an agent in the current calendar month.
Average chat requests per active user	Average number of chat requests per active user.
Code completions (suggested/accepted)	Total number of inline code suggestions shown and accepted.
Code completion acceptance rate	Percentage of suggestions accepted by users.
Daily active users	Number of unique users who used {% data variables.product.prodname_copilot_short %} on a given day.
Weekly active users	Number of unique users who used {% data variables.product.prodname_copilot_short %} during a seven-day window.
Total active users	Licensed users active in the current calendar month.
Language usage	Distribution of programming languages used with {% data variables.product.prodname_copilot_short %}.
Language usage per day	Daily breakdown of languages used.
Model usage	Distribution of AI models used for chat.
Model usage per day	Daily breakdown of chat model usage.
Model usage per chat mode	Model usage by {% data variables.product.prodname_copilot_short %} feature (Ask, Edit, Agent).
Model usage per language	Distribution of languages broken down by model.
Most used chat model	The most frequently used chat model in the current calendar month.
Requests per chat mode	Number of chat requests by mode (Ask, Edit, Agent).

API and export fields

These fields appear in the exported NDJSON reports and in the {% data variables.product.prodname_copilot_short %} usage metrics APIs. They provide granular daily records for each user in the enterprise.

Field	Description
agent_edit	A dedicated bucket in the API and reports. Captures lines added and deleted directly by {% data variables.product.prodname_copilot_short %} Agent and Edit mode. These are not included in suggested metrics, since agent edits don’t follow a simple suggestion to acceptance flow.
report_start_day / report_end_day	Start and end dates for the 28-day reporting period.
day	Calendar day this record represents.
enterprise_id	Unique ID of the enterprise or organization.
user_id / user_login	Unique identifier and {% data variables.product.github %} username for the user.
user_initiated_interaction_count	Number of explicit prompts sent to {% data variables.product.prodname_copilot_short %}. Only counts messages or prompts actively sent to the model. Does not include opening the chat panel, switching modes (for example, Ask, Edit, or Agent), using keyboard shortcuts to open the inline UI, or making configuration changes.
code_generation_activity_count	Number of distinct {% data variables.product.prodname_copilot_short %} output events generated. Includes: All generated content, including comments and docstrings. Multiple blocks: Each distinct code block from a single user prompt counts as a separate generation. Note: This metric is not directly comparable to user_initiated_interaction_count, since one prompt can produce multiple generations.
code_acceptance_activity_count	Number of suggestions or code blocks accepted by users. Counts: All built-in accept actions, such as “apply to file,” “insert at cursor,” “insert into terminal,” and use of the Copy button. Does not count: Manual OS clipboard actions (for example, Ctrl+C). Granularity: Each acceptance action increments the count once, regardless of how many code blocks were generated by the initial prompt.
loc_suggested_to_add_sum	Lines of code {% data variables.product.prodname_copilot_short %} suggested to add (completions, inline chat, chat panel, etc.; excludes Agent edits).
loc_suggested_to_delete_sum	Lines of code {% data variables.product.prodname_copilot_short %} suggested to delete (future support planned).
loc_added_sum	Lines of code actually added to the editor (accepted completions, applied code blocks, agent/edit mode).
loc_deleted_sum	Lines of code deleted from the editor (currently from Agent edits).
totals_by_ide	Breakdown of metrics by IDE used.
totals_by_feature	Breakdown of metrics by {% data variables.product.prodname_copilot_short %} feature (e.g., inline chat, chat panel).
totals_by_language_feature	Breakdown combining language and feature dimensions.
totals_by_model_feature / totals_by_language_model	Model-specific breakdowns for chat activity (not completions).
last_known_ide_version / last_known_plugin_version	The most recent IDE and {% data variables.copilot.copilot_chat_short %} extension version detected for each user.