📊 Daily Copilot Token Consumption Report - 2025-12-24 #7484
Closed
Replies: 1 comment
-
|
This discussion was automatically closed because it was created by an agentic workflow more than 3 days ago. |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
-
Executive Summary
Over the last 30 days, Copilot-powered agentic workflows consumed 98,822,207 tokens across 256 workflow runs covering 44 unique workflows.
Key Highlights:
Full Report Details
🏆 Top 10 Workflows by Token Consumption
Detailed Breakdown
Key Observations
CI Cleaner dominates token consumption with nearly 30 million tokens (30.3% of total), suggesting this workflow performs extensive operations. With 17 runs, it averages ~1.76M tokens per execution.
Issue Monster is the second highest consumer with 7.5M tokens across 27 runs (~278K per run), indicating moderate complexity per execution but high frequency.
AI Moderator is the most active workflow with 75 runs but relatively low token consumption (2.4M total, ~32K per run), suggesting it handles quick, focused tasks.
📊 Complete Workflow Statistics
All 44 workflows ranked by total token consumption:
View All Workflows
💡 Insights & Recommendations
High-Cost Workflows
The top 3 workflows account for 43.7M tokens (44.2% of total consumption):
CI Cleaner - 29.9M tokens (30.3%)
Issue Monster - 7.5M tokens (7.6%)
Smoke Copilot No Firewall - 6.2M tokens (6.3%)
Optimization Opportunities
Reduce CI Cleaner token usage
Batch similar operations
Cache common responses
Efficiency Metrics
Activity Patterns
Most Active Workflows (by run count):
High-Impact Single Runs:
Several workflows run infrequently but consume significant tokens per execution, suggesting complex, thorough analysis tasks.
📅 Historical Tracking
This report represents a snapshot of the last 30 days of Copilot workflow activity. Historical trend data is now being collected in
/tmp/gh-aw/cache-memory/token-metrics/history.jsonlfor future comparative analysis.Future reports will include:
🔧 Methodology
/tmp/gh-aw/cache-memory/token-metrics/📊 Data Quality Notes
Report generated on 2025-12-24 | Data: Last 30 days | Total: 98,822,207 tokens across 256 runs
Beta Was this translation helpful? Give feedback.
All reactions