[api-consumption] π GitHub API Consumption Report β 2026-07-04 #43378
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This discussion has been marked as outdated by GitHub API Consumption Report Agent. A newer discussion is available at Discussion #43533. |
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π GitHub API Consumption Report
Report Date: 2026-07-04 Β· Repository: github/gh-aw Β· Run: #28704332984
Today at a Glance
π GitHub API Calls Trend (90 days)
Daily core-quota consumption trends upward across the 90-day window, with the 07-04 bar (182,812) standing well above the 7-day rolling average β this peak is driven mostly by today's fuller collection window rather than a genuine per-run spike. Setting the coverage artifact aside, per-run consumption (~609 core/run) remains in line with recent days, and the 30-day rolling line stays comparatively flat.
π GitHub API Calls by Workflow Trend (30 days)
The reviewer-class workflows β PR Code Quality Reviewer, Matt Pocock Skills Reviewer, Test Quality Sentinel, and Impeccable Skills Reviewer β consistently sit at the top of daily quota consumption over the last 30 days. Design Decision Gate and Smoke CI round out the leading cohort, with the whole group climbing on 07-04 in lockstep with the broader capture window.
π GitHub REST API Calls Heatmap (90 days)
Weekday cells are consistently darker than weekends, reflecting API load that tracks active PR review during the work week. The most recent week's Friday cell is the hottest in the map β again a function of today's deeper collection β while earlier weeks show a steadier, lower-intensity MondayβFriday band.
π© Top API Burners (24h)
The top six reviewer/CI workflows each consume 19kβ25k core quota and together account for the large majority of the day's 182,812 total. Consumption is fairly evenly spread across those six (no single workflow exceeds ~14% of the total), so concentration risk is moderate β the load is broad rather than dominated by one runaway workflow.
π GitHub REST API Consumption by Workflow (last 24h)
PR Code Quality Reviewer (24,992) and Matt Pocock Skills Reviewer (22,245) lead consumption, each across 23 runs. No individual run approaches the 15,000/hr core limit, but the reviewer workflows' high per-run averages (~1,000+ core/run) make them the prime candidates for optimisation β caching repeated repo/PR reads or batching API queries would meaningfully cut the aggregate footprint.
Top 10 Workflows by REST API Consumption (last 24h)
Trending Indicators
π¦ Cache Memory Status
/tmp/gh-aw/cache-memory/trending/api-consumption/history.jsonliοΈ Data completeness & method
github_rate_limit_usage.core_consumedsummed per run from each run'srun_summary.json(actual quota consumed, not raw request count).run_summary.run.SafeItemsCountβ reported 0 across all 300 runs in the window (consistent with prior history entries).Automatically generated by the api-consumption-report workflow.
Warning
Firewall blocked 1 domain
The following domain was blocked by the firewall during workflow execution:
awmgmcpgSee Network Configuration for more information.
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