add ai_credits_used and update schema output

Author: imranmaszeri

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

@@ -111,6 +111,9 @@ Per-user reports contain one record per user for the reporting period. The 28-da
 | `used_copilot_code_review_active` | `boolean` | Yes | Whether the user actively engaged with {% data variables.copilot.copilot_code-review_short %} that day. A user is considered active if they manually requested a {% data variables.product.prodname_copilot_short %} review, or applied a {% data variables.product.prodname_copilot_short %} review suggestion. Null when there is no {% data variables.copilot.copilot_code-review_short %} signal for the user that day. |
 | `used_copilot_code_review_passive` | `boolean` | Yes | Whether the user had {% data variables.product.prodname_copilot_short %} automatically assigned to review their pull request that day, without actively engaging with the review. Null when there is no {% data variables.copilot.copilot_code-review_short %} signal for the user that day. |
 | `ai_adoption_phase` | `object` | No | The user's AI adoption phase for the day. Always present; defaults to the "No Cohort" phase. See [AI adoption phase fields](#ai-adoption-phase-fields). |
+| `ai_credits_used` | `number` | No | Total AI credits consumed by the user on this day. |
+| `used_copilot_cloud_agent` | `boolean` | No | Whether the user used Copilot cloud agent that day. |
+| `used_copilot_coding_agent` | `boolean` | No | Whether the user used Copilot cloud agent that day. Carries the same value as `used_copilot_cloud_agent`; both names are retained for backward compatibility. |
 | `totals_by_cli` | `object` | Yes | CLI-specific metrics for the user. Omitted when the user had no {% data variables.copilot.copilot_cli_short %} usage that day. See [{% data variables.copilot.copilot_cli_short %} metrics fields](#copilot-cli-metrics-fields). |
 | `totals_by_ide` | `array` | No | Per-IDE breakdown of the user's activity. See [Activity breakdown objects](#activity-breakdown-objects). |
 | `totals_by_feature` | `array` | No | Per-feature breakdown of the user's activity. See [Activity breakdown objects](#activity-breakdown-objects). |

content/copilot/reference/copilot-usage-metrics/example-schema.md

@@ -85,12 +85,17 @@ The following are example schemas for the user-level and enterprise-level data r
   "used_agent": false,
   "used_chat": false,
   "used_cli": true,
+  "used_copilot_coding_agent": false,
+  "used_copilot_cloud_agent": false,
+  "ai_adoption_phase": {
+    "phase_number": 2,
+    "phase": "Phase 2",
+    "version": "v1"
+  },
   "user_id": 1,
   "user_login": "login1",
   "user_initiated_interaction_count": 0,
-  "etl_id": "green",
-  "day_partition": "2025-10-01",
-  "entity_id_partition": 1
+  "ai_credits_used": 500
 }]
 ```
 
@@ -175,10 +180,7 @@ The following are example schemas for the user-level and enterprise-level data r
   } ],
   "enterprise_id" : "1",
   "report_end_day" : "2025-10-01",
-  "report_start_day" : "2025-09-04",
-  "etl_id" : "green",
-  "day_partition" : "2025-10-01",
-  "entity_id_partition" : 1
+  "report_start_day" : "2025-09-04"
 }, {
   "day_totals" : [ {
     "code_acceptance_activity_count" : 1,
@@ -243,10 +245,7 @@ The following are example schemas for the user-level and enterprise-level data r
   } ],
   "enterprise_id" : "2",
   "report_end_day" : "2025-10-01",
-  "report_start_day" : "2025-09-04",
-  "etl_id" : "green",
-  "day_partition" : "2025-10-01",
-  "entity_id_partition" : 2
+  "report_start_day" : "2025-09-04"
 } ]
 ```