📊 Daily Copilot Token Consumption Report - 2025-12-30

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Executive Summary

Over the last 30 days, Copilot-powered agentic workflows consumed 167,544,550 tokens at an estimated cost of $1,675.45, across 366 workflow runs covering 47 unique workflows.

Key Highlights:

• Highest consuming workflow: Tidy (26,359,236 tokens, $263.59)
• Most active workflow: Issue Monster (86 runs)
• Average cost per run: $4.58
• Total errors: 1,943
• Total warnings: 2,027
• Data period: Last 30 days (366 workflow runs analyzed)

Full Report Details

📈 Analysis Overview

This report analyzes 366 workflow runs across 47 unique Copilot-powered workflows from the past 30 days. The analysis reveals patterns in token consumption, cost efficiency, and workflow reliability.

Key Findings

1. High Token Consumption: The repository's Copilot workflows consumed over 167 million tokens in the analysis period
2. Cost Distribution: Token costs show concentration in a few high-volume workflows
3. Reliability Metrics: 1,943 errors and 2,027 warnings were recorded across all runs

🏆 Top 10 Workflows by Token Consumption

Rank	Workflow	Total Tokens	Total Cost	Runs	Avg Tokens/Run	Avg Cost/Run
1	Tidy	26,359,236	$263.59	57	462,443	$4.62
2	CI Cleaner	22,412,100	$224.12	7	3,201,729	$32.02
3	Issue Monster	21,421,748	$214.22	86	249,090	$2.49
4	jsweep - JavaScript Unbloater	14,049,233	$140.49	7	2,007,033	$20.07
5	The Great Escapi	8,140,602	$81.41	4	2,035,150	$20.35
6	Spec-Kit Execute	7,755,454	$77.55	14	553,961	$5.54
7	Smoke Copilot No Firewall	6,259,797	$62.60	22	284,536	$2.85
8	Agent Performance Analyzer - Meta-Orchestrator	4,199,481	$41.99	4	1,049,870	$10.50
9	Smoke Copilot	3,914,026	$39.14	24	163,084	$1.63
10	Daily Malicious Code Scan Agent	3,716,805	$37.17	4	929,201	$9.29

📊 Per-Workflow Statistics (All 47 Workflows)

View All Workflows

Workflow	Total Tokens	Total Cost	Runs	Avg Tokens	Avg Cost	Avg Duration	Errors	Warnings
Tidy	26,359,236	$263.59	57	462,443	$4.62	3.9m	249	276
CI Cleaner	22,412,100	$224.12	7	3,201,729	$32.02	13.8m	32	14
Issue Monster	21,421,748	$214.22	86	249,090	$2.49	3.0m	182	225
jsweep - JavaScript Unbloater	14,049,233	$140.49	7	2,007,033	$20.07	7.5m	116	129
The Great Escapi	8,140,602	$81.41	4	2,035,150	$20.35	7.8m	27	37
Spec-Kit Execute	7,755,454	$77.55	14	553,961	$5.54	4.4m	186	189
Smoke Copilot No Firewall	6,259,797	$62.60	22	284,536	$2.85	2.9m	86	3
Agent Performance Analyzer - Meta-Orches	4,199,481	$41.99	4	1,049,870	$10.50	6.5m	121	130
Smoke Copilot	3,914,026	$39.14	24	163,084	$1.63	2.8m	68	75
Daily Malicious Code Scan Agent	3,716,805	$37.17	4	929,201	$9.29	4.6m	29	52
Smoke Copilot Playwright	3,278,416	$32.78	28	117,086	$1.17	3.3m	207	84
Documentation Noob Tester	3,072,647	$30.73	4	768,162	$7.68	7.5m	18	8
Layout Specification Maintainer	2,983,121	$29.83	2	1,491,560	$14.92	9.6m	15	15
The Daily Repository Chronicle	2,301,096	$23.01	1	2,301,096	$23.01	15.1m	180	236
Terminal Stylist	2,291,884	$22.92	4	572,971	$5.73	5.8m	15	8
Issue Template Optimizer	2,221,533	$22.22	3	740,511	$7.41	4.5m	9	14
Daily News	2,144,866	$21.45	2	1,072,433	$10.72	8.1m	13	6
Workflow Health Manager - Meta-Orchestra	2,047,960	$20.48	4	511,990	$5.12	5.5m	80	95
Spec Kit Executor	1,903,789	$19.04	4	475,947	$4.76	4.0m	35	47
Dictation Prompt Generator	1,876,809	$18.77	1	1,876,809	$18.77	7.9m	1	2
Sub-Issue Closer	1,843,392	$18.43	4	460,848	$4.61	3.0m	10	15
Smoke Copilot Safe Inputs	1,840,721	$18.41	23	80,031	$0.80	2.5m	46	69
Glossary Maintainer	1,698,694	$16.99	3	566,231	$5.66	4.2m	18	23
Campaign Manager - Meta-Orchestrator	1,644,883	$16.45	4	411,221	$4.11	4.6m	58	52
Plan Command	1,634,386	$16.34	13	125,722	$1.26	4.5m	2	26
Daily Firewall Logs Collector and Report	1,553,273	$15.53	3	517,758	$5.18	7.6m	6	13
Weekly Issue Summary	1,366,812	$13.67	1	1,366,812	$13.67	5.1m	8	17
Metrics Collector - Infrastructure Agent	1,309,378	$13.09	3	436,459	$4.36	3.2m	50	45
CLI Consistency Checker	1,205,548	$12.06	1	1,205,548	$12.06	6.4m	0	2
Daily Workflow Updater	1,162,567	$11.63	4	290,642	$2.91	2.9m	19	36
Copilot PR Prompt Pattern Analysis	1,107,862	$11.08	3	369,287	$3.69	5.4m	1	6
Automated Portfolio Analyst	1,046,366	$10.46	1	1,046,366	$10.46	30.7m	2	3
Breaking Change Checker	934,020	$9.34	1	934,020	$9.34	5.8m	5	7
Auto-Assign Issue	857,026	$8.57	4	214,256	$2.14	2.5m	6	15
Organization Health Report	805,825	$8.06	1	805,825	$8.06	6.0m	4	5
Daily Copilot Token Consumption Report	754,448	$7.54	1	754,448	$7.54	19.2m	2	2
Slide Deck Maintainer	677,669	$6.78	1	677,669	$6.78	4.7m	5	4
Q	644,348	$6.44	1	644,348	$6.44	5.7m	6	3
Artifacts Summary	589,011	$5.89	1	589,011	$5.89	4.8m	2	3
Go File Size Reduction Campaign (Project	579,248	$5.79	3	193,083	$1.93	3.3m	10	10
Repository Quality Improvement Agent	474,695	$4.75	1	474,695	$4.75	7.2m	2	2
MCP Inspector Agent	443,855	$4.44	1	443,855	$4.44	7.4m	4	6
Daily Team Status	351,011	$3.51	2	175,506	$1.76	2.9m	2	8
Dependabot Dependency Checker	247,026	$2.47	1	247,026	$2.47	2.8m	3	2
Issue Triage Agent	159,166	$1.59	1	159,166	$1.59	2.8m	1	2
Repository Tree Map Generator	152,682	$1.53	1	152,682	$1.53	4.2m	0	2
Daily Copilot PR Merged Report	110,035	$1.10	1	110,035	$1.10	2.8m	2	4

💡 Insights & Recommendations

High-Cost Workflows

The following workflows account for the majority of token consumption:

1. Tidy - $263.59 (15.7% of total)

   • Runs: 57 executions
   • Avg tokens per run: 462,443
   • Errors: 249, Warnings: 276
   • Observation: This workflow is a significant consumer of tokens

2. CI Cleaner - $224.12 (13.4% of total)

   • Runs: 7 executions
   • Avg tokens per run: 3,201,729
   • Errors: 32, Warnings: 14
   • Observation: This workflow is a significant consumer of tokens

3. Issue Monster - $214.22 (12.8% of total)

   • Runs: 86 executions
   • Avg tokens per run: 249,090
   • Errors: 182, Warnings: 225
   • Observation: This workflow is a significant consumer of tokens

4. jsweep - JavaScript Unbloater - $140.49 (8.4% of total)

   • Runs: 7 executions
   • Avg tokens per run: 2,007,033
   • Errors: 116, Warnings: 129
   • Observation: This workflow is a significant consumer of tokens

5. The Great Escapi - $81.41 (4.9% of total)

   • Runs: 4 executions
   • Avg tokens per run: 2,035,150
   • Errors: 27, Warnings: 37
   • Observation: This workflow is a significant consumer of tokens

Top 5 workflows represent 55.1% of total costs.

Optimization Opportunities

Based on the analysis, here are potential optimization opportunities:

1. High-frequency workflows: Workflows running frequently (scheduled) could benefit from:

   • Caching intermediate results
   • Reducing context size
   • Optimizing prompts for efficiency

2. Error-prone workflows: 23 workflows have elevated error counts

   • Review error logs to identify patterns
   • Implement retry logic with backoff
   • Add validation steps to prevent failures

3. Token efficiency: Average tokens per run varies significantly

   • Review workflows with high token usage for optimization
   • Consider breaking large workflows into smaller steps
   • Use more specific prompts to reduce token consumption

Reliability Trends

• Overall error rate: 530.87% of runs encountered errors
• Warning rate: 553.83% of runs had warnings
• Workflows with zero errors: 2 out of 47

📅 Historical Comparison

Note: This is the first report. Future reports will include trend comparisons showing:

• Week-over-week token usage changes
• Cost trend analysis
• Efficiency improvements
• Run pattern evolution

🔧 Methodology

• Data Source: GitHub Actions workflow run logs from last 30 days
• Engine Filter: Copilot engine only (excludes other AI engines)
• Memory Storage: /tmp/gh-aw/repo-memory/default/history.jsonl
• Analysis Date: 2025-12-30 11:19:31 UTC
• Historical Data: 47 workflows tracked
• Cost Model: Estimated at $0.01 per 1,000 tokens (placeholder rate)

📊 Data Quality Notes

• All 366 workflow runs successfully processed
• Token usage data available for all runs
• Cost estimates based on placeholder rate (actual costs may vary)
• Duration data converted from nanoseconds to human-readable format
• Error and warning counts extracted from workflow logs

🎯 Next Steps

1. Monitor top consumers: Track the top 10 workflows for optimization opportunities
2. Error reduction: Investigate workflows with high error rates
3. Efficiency gains: Compare token usage trends in future reports
4. Cost optimization: Implement caching and prompt optimization strategies
5. Trend tracking: Daily reports will build historical data for better insights

AI generated by Daily Copilot Token Consumption Report

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This discussion was automatically closed because it expired on 2026-01-02T11:21:35.137Z.