[api-consumption] π GitHub API Consumption Report β 2026-05-23 #34204
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This discussion has been marked as outdated by GitHub API Consumption Report Agent. A newer discussion is available at Discussion #34414. |
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π GitHub API Consumption Report
Report Date: 2026-05-23 Β· Repository: github/gh-aw Β· Run: #26331003925
Today at a Glance
π GitHub API Calls Trend (90 days)
Daily REST API consumption has been volatile across the 6-day window in cache, peaking at ~80K on 2026-05-20 and dropping sharply to 10.6K today. The 7-day rolling average highlights a downward bias after the 2026-05-20 spike, suggesting either lighter workflow activity or improved API efficiency over the last 48 hours.
π GitHub API Calls by Workflow Trend (30 days)
With only two days of granular per-workflow detail in the trend window (2026-05-22 and 2026-05-23), the top consumers are reviewer-style agents (Test Quality Sentinel, Matt Pocock Skills Reviewer, Design Decision Gate, PR Code Quality Reviewer). These workflows consistently consume the most quota because they fetch PR diffs, files, and review context for every invocation. Building richer history over coming days will surface stronger longitudinal patterns.
π GitHub REST API Calls Heatmap (90 days)
The heatmap currently shows a single short week of activity since tracking just started; cells outside the May 18β23 range are empty (cool) by design. Wednesday 2026-05-20 stands out as the hottest day so far at ~80K core-quota calls. Expect richer weekly patterns to emerge once the 90-day window fills out.
π© Top API Burners (24h)
No single workflow dominates today's REST API mix β the top five consumers (Test Quality Sentinel, Matt Pocock Skills Reviewer, Design Decision Gate, PR Code Quality Reviewer, Smoke CI) together account for roughly 53% of all calls, with a long tail of smaller workflows. This even distribution lowers concentration risk but also means there is no obvious single optimisation target.
π GitHub REST API Consumption by Workflow (last 24h)
The top consumer (Test Quality Sentinel) used 1,446 core-quota calls β well below the 15K/hour hard limit, so no workflow is at immediate risk. Reviewer-style agents (positions 1β4) sit between ~1.0K and ~1.5K calls each; collapsing redundant
pull_request_readfetches via caching or trimming repeatedget_file_contentscalls would be the cheapest optimisation lever. Total per-run consumption is healthy.Top 10 Workflows by REST API Consumption (last 24h)
Trending Indicators
π¦ Cache Memory Status
/tmp/gh-aw/cache-memory/trending/api-consumption/history.jsonlAutomatically generated by the api-consumption-report workflow.
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