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📊 Copilot Token Usage Report2026-04-19 #2094

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Description

@github-actions

Overview

Period: 2026-04-18T18:01Z to 2026-04-19T10:23Z (~16 hours)
Runs analyzed: 50 (46 had token data)
Total tokens: 10,260,541 across all workflows
Effective tokens: 11,799,241 (includes cache multipliers)
Total Actions minutes: 253 min
Total errors: 10 across all runs

i️ No cost data is available — estimated_cost is 0 for all runs (likely because the api-proxy cost calculation is not configured for this engine). Token counts remain meaningful for relative comparisons.


Workflow Summary

Workflow Runs Total Tokens Avg Tokens/Run Avg Turns Errors Actions Min
Build Test Suite 8 4,466K 558K 1.0 2 46
Smoke Services 9 1,796K 200K 0.9 6 38
Smoke Copilot 10 1,285K 128K 1.0 0 39
Smoke Copilot BYOK 9 1,127K 125K 1.0 0 36
Pelis Agent Factory Advisor 1 323K 323K 1.0 0 6
Firewall Issue Dispatcher 3 312K 104K 1.0 0 12
Daily Claude Token Optimization Advisor 1 208K 208K 1.0 0 26
Daily Claude Token Usage Analyzer 1 196K 196K 1.0 0 17
Smoke Chroot 5 341K 68K 0.8 2 24
Dependency Security Monitor 1 121K 121K 1.0 0 4
Issue Duplication Detector 1 84K 84K 1.0 0 4
Daily Copilot Token Usage Analyzer 1 0 0 0 0 1

🔍 Optimization Opportunities

  1. Build Test Suite — 558K tokens/run (highest per-run), 4.47M total

    • At 558K avg tokens/run with 142 total API requests across 8 runs, this is the dominant consumer
    • High cache read ratio (4.09M / 4.77M input = ~86%) is a positive sign — caching is working well
    • 2 cancelled runs contributed 0 tokens; consider whether retries inflate totals
    • Review if the system prompt or tool surface can be reduced
  2. Smoke Services — 200K tokens/run, 6/9 runs had errors (67% error rate ⚠️)

    • 3 cancelled runs and 1 failure indicate reliability issues
    • Error rate exceeds 30% threshold — investigate root cause
    • High cache read ratio (1.56M / 1.79M = ~88%) suggests stable prompts
  3. Pelis Agent Factory Advisor — 323K tokens in a single run (highest single-run count)

    • Only 1 run in the period so no trend data; monitor for consistent high usage
  4. Daily Claude Token Optimization/Usage Analyzers — ~200K tokens each for reporting workflows

    • These are meta-analysis workflows that consume significant tokens to analyze other runs
    • Consider whether prompts can be trimmed or outputs compressed

Per-Workflow Details

Build Test Suite

Smoke Services

Smoke Copilot

  • Runs: 10
  • Total tokens: 1,285K (avg 128K/run)
  • Input/Output/Cache-read: 1,275K / 10K / 1,028K
  • API requests: 50 total (avg 5/run)
  • Error rate: 0/10 ✅

Smoke Copilot BYOK

  • Runs: 9
  • Total tokens: 1,127K (avg 125K/run)
  • Input/Output/Cache-read: 1,119K / 8K / 900K
  • API requests: 44 total (avg 5/run)
  • Error rate: 0/9 ✅

Smoke Chroot

  • Runs: 5
  • Total tokens: 341K (avg 68K/run)
  • Input/Output/Cache-read: 339K / 2K / 224K
  • API requests: 12 total
  • Error rate: 2/5 runs ⚠️

Pelis Agent Factory Advisor

  • Runs: 1 — §run
  • Total tokens: 323K
  • Input/Output/Cache-read: 317K / 7K / 273K
  • API requests: 9

Firewall Issue Dispatcher

  • Runs: 3
  • Total tokens: 312K (avg 104K/run)
  • Input/Output/Cache-read: 311K / 2K / 232K
  • API requests: 12 total
  • Error rate: 0/3 ✅

Daily Claude Token Optimization Advisor

  • Runs: 1
  • Total tokens: 208K
  • Input/Output/Cache-read: 200K / 9K / 149K
  • API requests: 6

Daily Claude Token Usage Analyzer

  • Runs: 1
  • Total tokens: 196K
  • Input/Output/Cache-read: 192K / 5K / 154K
  • API requests: 6

Dependency Security Monitor

  • Runs: 1
  • Total tokens: 121K
  • Input/Output/Cache-read: 120K / 1K / 88K

Issue Duplication Detector

  • Runs: 1
  • Total tokens: 84K
  • Input/Output/Cache-read: 83K / 1K / 53K
Workflows Without Token Data

Runs where token_usage was null or 0 — these may not have the api-proxy enabled or had incomplete runs:

Workflow Run Status
Daily Copilot Token Usage Analyzer §24626857097 in_progress (current run)
Smoke Services §24615924148 cancelled
Smoke Chroot §24615841413 cancelled
Build Test Suite §24615841394 cancelled

All missing-data cases are either the current in-progress run or cancelled runs — no instrumentation gaps detected.


Historical Trend

This is the first Copilot token usage report. No historical comparison is available.


Cache Efficiency Summary

All workflows show strong cache utilization (typically 80–88% of input tokens served from cache), which is a good sign. The high cache ratio suggests prompts are stable across runs, and the prompt caching feature is working effectively.

Workflow Cache Hit Rate
Build Test Suite 86%
Smoke Services 88%
Smoke Copilot 81%
Smoke Copilot BYOK 80%

References:

  • §24626857097 — Daily Copilot Token Usage Analyzer (current run)

Generated by Daily Copilot Token Usage Analyzer · ● 298.9K ·

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