Daily Copilot Token Consumption Report — 2026-03-31

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Executive Summary

On 2026-03-31, Copilot-powered agentic workflows consumed 80,923,350 tokens across 111 workflow runs covering 66 unique workflows, totalling 1,627 agent turns and 890 action minutes (~14.8 hours of compute). This represents a -51.4% decrease in token consumption and -43.1% fewer runs compared to the previous snapshot (2026-02-20).

Key Highlights

Metric	Value
🔢 Total Tokens	80,923,350
🔄 Total Runs	111 (66 unique workflows)
💬 Total Turns	1,627
⏱️ Total Action Minutes	890 min (14.8 hrs)
📊 Avg Tokens / Run	729,039
💡 Avg Turns / Run	14.7

• 🏆 Highest token consumer: Copilot CLI Deep Research Agent (5,168,054 tokens, 68 turns — single run)
• 🔄 Most active workflow: Issue Monster (15 runs, 4,843,129 total tokens)
• ⚠️ Most turns in a run: Daily Syntax Error Quality Check (90 turns, 4,495,202 tokens)
• 📉 Trend: Token usage is significantly down (-51.4%) vs. prior period — fewer runs this cycle

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🏆 Top Workflows by Token Consumption

Top 10 Most Expensive Workflows

Rank	Workflow	Total Tokens	% of Total	Runs	Avg Tokens/Run	Avg Turns/Run
1	Copilot CLI Deep Research Agent	5,168,054	6.4%	1	5,168,054	68.0
2	Issue Monster	4,843,129	6.0%	15	322,875	8.7
3	Contribution Check	4,779,736	5.9%	6	796,622	24.8
4	Daily Syntax Error Quality Check	4,495,202	5.6%	1	4,495,202	90.0
5	Code Simplifier	4,202,294	5.2%	1	4,202,294	66.0
6	Daily Community Attribution Updater	3,452,781	4.3%	1	3,452,781	37.0
7	Dead Code Removal Agent	3,098,087	3.8%	1	3,098,087	46.0
8	Smoke Multi PR	2,831,029	3.5%	1	2,831,029	65.0
9	Auto-Triage Issues	2,818,847	3.5%	7	402,692	11.1
10	Slide Deck Maintainer	2,425,181	3.0%	1	2,425,181	42.0

The top 10 workflows account for ~44.1% of total token consumption (35,714,360 tokens).

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📊 Token Efficiency Analysis

The scatter plot above maps total tokens vs. total turns for all workflows (bubble size = number of runs). Workflows in the upper-right are high-cost and turn-heavy; those in the lower-left are lean and efficient.

Outliers to watch:

• Daily Syntax Error Quality Check: 90 turns in a single run — extremely high agentic exploration; could benefit from deterministic pre-steps
• Copilot CLI Deep Research Agent: 68 turns, 5.2M tokens — expected for deep research tasks
• Code Simplifier: 66 turns — consider adding tighter scope constraints
• Smoke Multi PR: 65 turns — smoke tests should be more bounded

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🌐 Token Distribution by Task Domain

Domain	Total Tokens	% of Total	Runs
General Automation	26,124,228	32.3%	—
Issue Response	14,998,182	18.5%	—
Research	10,784,563	13.3%	—
Code Fix	10,273,318	12.7%	—
Repo Maintenance	9,626,773	11.9%	—
Triage	7,250,619	9.0%	—
Release / Ops	1,865,667	2.3%	—

General Automation dominates at 32.3% of all tokens — a broad category worth decomposing to identify optimization targets.

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📈 Historical Trends

Historical Snapshot Comparison

Date	Total Tokens	Runs	Tokens/Run
2026-01-15	94,899,840	178	533,145
2026-01-22	101,969,175	239	426,649
2026-01-28	200,676,032	281	714,149
2026-02-11	237,834,034	378	629,191
2026-02-19	119,326,605	83	1,437,669
2026-02-20	166,507,574	195	854,398
2026-03-31	80,923,350	111	729,039

Observations:

• Peak consumption was 2026-02-11 at 237.8M tokens across 378 runs
• Today's 80.9M tokens is the lowest recorded — 40% below the 7-snapshot average (~143M)
• Runs decreased significantly from Feb peaks; today's run count (111) is near the lower end
• Tokens-per-run has stabilised in the 700K-730K range (Feb-Mar), suggesting workflow efficiency is consistent even as volume varies

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💡 Insights & Recommendations

High-Turn Workflows Driving Costs

1. Daily Syntax Error Quality Check — 90 turns, 4.5M tokens

   • Observation: 90 agent turns in a single run is extremely high — this workflow is iterating heavily, likely doing exhaustive file-by-file scanning agentically
   • Recommendation: Move file discovery/listing to deterministic pre-steps; batch file analysis; consider a lighter model (e.g., claude-haiku-4-5) for syntax-only checks

2. Copilot CLI Deep Research Agent — 68 turns, 5.2M tokens

   • Observation: Deep research workflows are inherently token-heavy, but 68 turns suggests broad tool exploration
   • Recommendation: Scope research questions more tightly; set explicit turn limits via max_turns

3. Code Simplifier — 66 turns, 4.2M tokens (single run)

   • Observation: Code transformation tasks shouldn't need 66 turns unless the scope is very broad
   • Recommendation: Limit scope per run (e.g., process one package at a time); use agentic_fraction improvements to move data-gathering to pre-steps

4. Contribution Check — 24.8 avg turns over 6 runs (4.8M total)

   • Observation: Highest multi-run cost contributor at nearly 800K tokens/run average
   • Recommendation: Cache contribution data between runs; reduce redundant GitHub API calls

Model Downgrade Opportunities

Several workflows were flagged with model_downgrade_available assessments in the raw data. Consider lighter models for:

• Repo Maintenance domain workflows — gpt-4.1-mini or claude-haiku-4-5
• Triage workflows with read-only patterns — smaller models handle label/route tasks well
• Issue Response with simple templated responses — reduce to gpt-4.1-mini

Estimated potential savings: 15–30% of total tokens if model downgrades are applied to eligible workflows.

Workflows with No Token Data (14 workflows)

The following workflows ran but reported zero tokens (likely non-Copilot steps or completed before token logging):

• Daily Copilot Token Consumption Report, Daily News, Daily CLI Tools Exploratory Tester
• Smoke Copilot (7 runs — 56 action minutes with zero tokens is notable)
• Agent Performance Analyzer, Agent Persona Explorer, Workflow Normalizer
• Daily DIFC Integrity-Filtered Events Analyzer (24 turns, 0 tokens — unusual)
• Metrics Collector, MCP Inspector Agent, Super Linter Report, Weekly Blog Post Writer
• Daily Firewall Logs Collector and Reporter, Q

Recommendation: Investigate Smoke Copilot (56 action minutes, 0 tokens) — this may indicate a non-Copilot smoke test runner or a token reporting gap.

Per-Workflow Detailed Statistics (All 66 Workflows)

Workflow	Total Tokens	% Total	Runs	Avg Tokens	Avg Turns	Action Mins
Copilot CLI Deep Research Agent	5,168,054	6.4%	1	5,168,054	68.0	13
Issue Monster	4,843,129	6.0%	15	322,875	8.7	106
Contribution Check	4,779,736	5.9%	6	796,622	24.8	39
Daily Syntax Error Quality Check	4,495,202	5.6%	1	4,495,202	90.0	16
Code Simplifier	4,202,294	5.2%	1	4,202,294	66.0	18
Daily Community Attribution Updater	3,452,781	4.3%	1	3,452,781	37.0	11
Dead Code Removal Agent	3,098,087	3.8%	1	3,098,087	46.0	16
Smoke Multi PR	2,831,029	3.5%	1	2,831,029	65.0	9
Auto-Triage Issues	2,818,847	3.5%	7	402,692	11.1	34
Slide Deck Maintainer	2,425,181	3.0%	1	2,425,181	42.0	9
Daily Testify Uber Super Expert	2,305,311	2.8%	1	2,305,311	35.0	10
Daily Compiler Quality Check	2,268,706	2.8%	1	2,268,706	35.0	10
Documentation Noob Tester	2,144,841	2.7%	1	2,144,841	40.0	13
Functional Pragmatist	1,930,625	2.4%	1	1,930,625	35.0	12
Release	1,865,667	2.3%	4	466,417	10.8	47
Architecture Diagram Generator	1,686,859	2.1%	1	1,686,859	31.0	17
CLI Consistency Checker	1,648,335	2.0%	1	1,648,335	25.0	10
jsweep - JavaScript Unbloater	1,556,121	1.9%	1	1,556,121	25.0	12
Daily Malicious Code Scan Agent	1,416,816	1.8%	1	1,416,816	27.0	6
Glossary Maintainer	1,414,679	1.7%	1	1,414,679	21.0	11
PR Triage Agent	1,381,092	1.7%	4	345,273	7.8	20
Copilot PR Conversation NLP Analysis	1,379,008	1.7%	1	1,379,008	26.0	18
Workflow Health Manager - Meta-Orchestrator	1,326,460	1.6%	1	1,326,460	22.0	9
Delight	1,325,477	1.6%	1	1,325,477	22.0	7
Copilot PR Prompt Pattern Analysis	1,232,993	1.5%	1	1,232,993	26.0	7
Dev	1,179,123	1.5%	1	1,179,123	26.0	13
Terminal Stylist	1,152,872	1.4%	1	1,152,872	21.0	9
Agent Container Smoke Test	1,120,924	1.4%	7	160,132	4.4	33
GPL Dependency Cleaner (gpclean)	1,088,657	1.3%	1	1,088,657	25.0	6
Daily MCP Tool Concurrency Analysis	1,023,343	1.3%	1	1,023,343	19.0	8
Weekly Issue Summary	1,013,862	1.3%	1	1,013,862	21.0	11
CI Optimization Coach	1,010,799	1.2%	1	1,010,799	16.0	12
Daily CLI Performance Agent	957,948	1.2%	1	957,948	19.0	7
Smoke Update Cross-Repo PR	848,030	1.0%	2	424,015	14.5	12
The Daily Repository Chronicle	811,944	1.0%	1	811,944	16.0	7
Daily Secrets Analysis Agent	759,587	0.9%	1	759,587	17.0	6
Update Astro	753,201	0.9%	1	753,201	18.0	8
Daily Copilot PR Merged Report	662,687	0.8%	1	662,687	13.0	6
Repository Quality Improvement Agent	658,393	0.8%	1	658,393	12.0	10
Daily Workflow Updater	619,817	0.8%	1	619,817	15.0	9
Daily Regulatory Report Generator	558,891	0.7%	1	558,891	9.0	8
Daily Semgrep Scan	474,669	0.6%	1	474,669	11.0	5
GitHub Remote MCP Authentication Test	467,322	0.6%	1	467,322	18.0	5
Issue Triage Agent	462,024	0.6%	1	462,024	13.0	6
Smoke Create Cross-Repo PR	457,406	0.6%	2	228,703	9.5	11
Daily Project Performance Summary Generator	410,068	0.5%	1	410,068	8.0	7
Sub-Issue Closer	382,023	0.5%	1	382,023	10.0	5
Repository Tree Map Generator	356,118	0.4%	1	356,118	9.0	6
Daily Safe Output Integrator	355,824	0.4%	1	355,824	7.0	5
Constraint Solving — Problem of the Day	149,396	0.2%	1	149,396	4.0	5
Draft PR Cleanup	113,084	0.1%	1	113,084	3.0	4
The Great Escapi	78,008	0.1%	1	78,008	2.0	4
(14 workflows with 0 tokens)	0	—	14+	—	—	—

Methodology & Data Notes

Methodology

• Data Source: Pre-downloaded workflow run logs from gh-aw audit covering last 30 days
• Engine Filter: Copilot engine workflows
• Token field: token_usage per run (not available for all runs)
• Cost data: Not available in this dataset (cost reported as 0 in summary)
• Analysis Date: 2026-03-31T11:36Z
• Historical Data: 7 snapshots from Jan–Mar 2026

Data Quality Notes

• 14 workflows reported zero token usage — may be non-Copilot execution steps, failed runs before token logging, or infrastructure/smoke workflows
• Cost figures are not available in the current log format (cost = 0); token counts are the primary efficiency metric
• The current run (Daily Copilot Token Consumption Report, run §23794580649) was in_progress at time of data collection and is excluded from token counts

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🎯 Action Items

1. Investigate Daily Syntax Error Quality Check — 90 turns is a red flag; move file enumeration to deterministic pre-steps
2. Scope Code Simplifier per run — run per-package rather than whole-repo; cap at 30 turns
3. Review Contribution Check — 6 runs × ~797K tokens is the largest multi-run cost; cache results or reduce frequency
4. Investigate Smoke Copilot — 7 runs, 56 action minutes, 0 tokens logged is anomalous
5. Consider model downgrades for triage, maintenance, and simple response workflows (~15–30% potential savings)

References:

• §23794580649 — This report run

AI generated by Daily Copilot Token Consumption Report · history

• expires on Apr 3, 2026, 11:44 AM UTC

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This discussion has been marked as outdated by Daily Copilot Token Consumption Report.

A newer discussion is available at Discussion #23864.