📊 Daily Copilot Token Consumption Report - January 23, 2026 #11486
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Executive Summary
Over the analysis period (last 30 days of data), Copilot-powered agentic workflows consumed 114,462,428 tokens at an estimated cost of $343.39, across 211 workflow runs covering 52 unique workflows.
Key Highlights:
🏆 Top 10 Workflows by Token Consumption
💡 Key Insights & Recommendations
1. High Per-Run Cost Workflows
The following workflows have exceptionally high token consumption per run:
CI Cleaner - $21.05 per run (18.4% of total costs)
Agent Persona Explorer - $27.54 per run (16.0% of total costs)
CLI Consistency Checker - $8.18 per run (single run consumed 2.7M tokens)
2. High-Frequency Workflows
Code Scanning Fixer - 40 runs ($23.45 total, $0.59/run)
Issue Monster - 35 runs ($16.79 total, $0.48/run)
Smoke Copilot - 28 runs ($17.27 total, $0.62/run)
3. Efficiency Opportunities
Auto-Triage Issues - 23 runs, only $0.24/run
AI Moderator - 5 runs, only $0.11/run
4. Cost Concentration Analysis
Top 3 workflows account for 40.2% of total costs:
Optimization Priority: Focus on the top 2 workflows for maximum impact. Even a 25% reduction in CI Cleaner and Agent Persona Explorer would save ~$30/month.
📊 Workflow Success Rates
Recommendation: Investigate Issue Monster's 77% failure rate to reduce wasted token consumption on failed runs.
View All Workflow Statistics
Complete Workflow Breakdown
🎯 Immediate Action Items
Priority 1 (High Impact):
Priority 2 (Quick Wins):
4. Implement incremental checking in CLI Consistency Checker: Reduce from 2.7M tokens to <500K tokens per run
5. Study efficient workflows: Document patterns from Auto-Triage Issues ($0.24/run) and AI Moderator ($0.11/run) for replication
Priority 3 (Monitoring):
6. Track trends: Continue daily reporting to identify cost trends and efficiency regressions
7. Set cost alerts: Alert when any workflow exceeds $10/run or shows >20% week-over-week increase
🔧 Methodology
/tmp/gh-aw/repo-memory/default/history.jsonl📈 Historical Tracking
This report marks the first day of persistent token tracking. Historical data is being stored in repo memory for future trend analysis. Future reports will include:
References:
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