Add usage type breakdown for error tracking billing dimension (#2251)

* Regenerate client from commit 66d9d069 of spec repo

* pre-commit fixes

---------

Co-authored-by: ci.datadog-api-spec <[email protected]> 24b9ffe

Author: api-clients-generation-pipeline[bot]

datadog_api_client.v1.model.html

@@ -24819,7 +24819,9 @@ <h2 id="submodules">Submodules<a class="headerlink" href="#submodules" title="Li
 <li><p><strong>date</strong> (<em>datetime</em><em>, </em><em>optional</em>) – The date for the usage.</p></li>
 <li><p><strong>dbm_host_top99p</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the 99th percentile of all Database Monitoring hosts over all hours in the current date for all organizations.</p></li>
 <li><p><strong>dbm_queries_count_avg</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the average of all normalized Database Monitoring queries over all hours in the current date for all organizations.</p></li>
+<li><p><strong>error_tracking_error_events_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the sum of all Error Tracking error events over all hours in the current date for the given org.</p></li>
 <li><p><strong>error_tracking_events_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the sum of all Error Tracking events over all hours in the current date for the given org.</p></li>
+<li><p><strong>error_tracking_rum_error_events_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the sum of all Error Tracking RUM error events over all hours in the current date for the given org.</p></li>
 <li><p><strong>fargate_tasks_count_avg</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the high-watermark of all Fargate tasks over all hours in the current date for all organizations.</p></li>
 <li><p><strong>fargate_tasks_count_hwm</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the average of all Fargate tasks over all hours in the current date for all organizations.</p></li>
 <li><p><strong>flex_logs_compute_large_avg</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the average number of Flex Logs Compute Large Instances over all hours in the current date for the given org.</p></li>
@@ -24974,7 +24976,9 @@ <h2 id="submodules">Submodules<a class="headerlink" href="#submodules" title="Li
 <li><p><strong>data_jobs_monitoring_host_hr_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the sum of all Data Jobs Monitoring hosts over all hours in the current date for the given org.</p></li>
 <li><p><strong>dbm_host_top99p_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the 99th percentile of all Database Monitoring hosts over all hours in the current month for the given org.</p></li>
 <li><p><strong>dbm_queries_avg_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the average of all distinct Database Monitoring normalized queries over all hours in the current month for the given org.</p></li>
+<li><p><strong>error_tracking_error_events_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the sum of all Error Tracking error events over all hours in the current date for the given org.</p></li>
 <li><p><strong>error_tracking_events_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the sum of all Error Tracking events over all hours in the current date for the given org.</p></li>
+<li><p><strong>error_tracking_rum_error_events_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the sum of all Error Tracking RUM error events over all hours in the current date for the given org.</p></li>
 <li><p><strong>fargate_tasks_count_avg</strong> (<em>int</em><em>, </em><em>optional</em>) – The average task count for Fargate.</p></li>
 <li><p><strong>fargate_tasks_count_hwm</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the high-water mark of all Fargate tasks over all hours in the current date for the given org.</p></li>
 <li><p><strong>flex_logs_compute_large_avg</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the average number of Flex Logs Compute Large Instances over all hours in the current date for the given org.</p></li>
@@ -25132,7 +25136,9 @@ <h2 id="submodules">Submodules<a class="headerlink" href="#submodules" title="Li
 <li><p><strong>dbm_host_top99p_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the 99th percentile of all Database Monitoring hosts over all hours in the current month for all organizations.</p></li>
 <li><p><strong>dbm_queries_avg_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the average of all distinct Database Monitoring Normalized Queries over all hours in the current month for all organizations.</p></li>
 <li><p><strong>end_date</strong> (<em>datetime</em><em>, </em><em>optional</em>) – Shows the last date of usage in the current month for all organizations.</p></li>
+<li><p><strong>error_tracking_error_events_agg_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the sum of all Error Tracking error events over all hours in the current month for all organizations.</p></li>
 <li><p><strong>error_tracking_events_agg_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the sum of all Error Tracking events over all hours in the current months for all organizations.</p></li>
+<li><p><strong>error_tracking_rum_error_events_agg_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the sum of all Error Tracking RUM error events over all hours in the current month for all organizations.</p></li>
 <li><p><strong>fargate_tasks_count_avg_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the average of all Fargate tasks over all hours in the current month for all organizations.</p></li>
 <li><p><strong>fargate_tasks_count_hwm_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the sum of the high-water marks of all Fargate tasks over all hours in the current month for all organizations.</p></li>
 <li><p><strong>flex_logs_compute_large_avg_sum</strong> (<em>int</em><em>, </em><em>optional</em>) – Shows the average number of Flex Logs Compute Large Instances over all hours in the current months for all organizations.</p></li>