🔍 Agentic Workflow Audit Report - 2025-11-21

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🔍 Agentic Workflow Audit Report - November 21, 2025

This automated audit analyzed 84 workflow runs from the past 24 hours (Nov 18-21, 2025), evaluating system health, performance metrics, errors, and resource consumption. Overall system health is good with an 80.95% success rate, though several workflows exhibit elevated error rates that warrant investigation.

📊 Key Findings

The system processed 25.17 million tokens across 84 runs with a total cost of $17.13 over 8.12 hours of compute time. While the majority of workflows completed successfully, 14 runs failed and 1,141 errors were logged across all executions. The average cost per run is $0.20, indicating reasonable resource efficiency.

📈 Workflow Health Trends

Success/Failure Patterns

The 4-day trend shows consistently high success rates above 70%, with November 20th achieving 88% success rate (22 successful runs, 3 failures). November 19th saw the highest activity with 34 total runs but a lower success rate (71%) indicating possible system stress under load. The most recent data (November 21st) shows only 2 runs, suggesting this audit captured early-day activity.

Token Usage & Costs

Token consumption peaked on November 19th at 13.61M tokens ($9.44), correlating with the highest run volume. November 20th showed reduced activity (8.33M tokens, $5.38) while maintaining better success rates, suggesting improved efficiency. The 2-day moving average indicates stabilizing resource consumption, though costs remain substantial at $5-10 daily.

Full Audit Details

Audit Summary

• Period: Last 24 hours (Nov 18-21, 2025)
• Runs Analyzed: 84
• Workflows Active: 48 distinct workflows
• Success Rate: 80.95% (68 successful, 14 failed, 2 other)
• Total Duration: 8.12 hours
• Issues Found: 1,141 errors, 0 warnings

Performance Metrics

• Total Token Usage: 25,171,402 tokens
• Total Cost (24h): $17.13
• Average Cost per Run: $0.2039
• Average Tokens per Run: 299,660 tokens
• Total Turns: 634

Error Analysis

Critical Issues

High Error Rate Workflows (workflows with >50 errors):

1. Smoke Claude - 168 errors across 7 runs (24 errors/run average)

   • Pattern: Recurring errors in smoke test execution
   • Impact: Test coverage validation compromised

2. Go Logger Enhancement - 143 errors across 2 runs (71.5 errors/run average)

   • Pattern: High error density suggests fundamental issues
   • Impact: Code quality improvement workflow impaired

3. Documentation Unbloat - 126 errors in 1 run

   • Pattern: Single run with massive error count
   • Impact: Documentation quality maintenance blocked
   • Reference: §19552794694

4. Copilot PR Conversation NLP Analysis - 110 errors across 2 runs

   • Pattern: Consistent failure in NLP analysis tasks
   • Impact: PR conversation insights unavailable

5. The Daily Repository Chronicle - 110 errors across 2 runs

   • Pattern: Daily reporting workflow consistently failing
   • Impact: Repository activity tracking disrupted

Error Type Distribution

• error: 84 occurrences (84%)
• warning: 16 occurrences (16%)

The high ratio of errors to warnings suggests most issues are critical rather than advisory, requiring immediate attention rather than gradual improvement.

Failed Workflow Runs

14 workflows failed in the audit period:

Workflow	Run ID	Errors	URL
Dev	§19484470074	0	Development workflow
Dev	§19490895665	2	Development workflow
Plan Command	§19496693166	0	Command execution
Copilot PR NLP Analysis	§19497393609	55	Analysis failure
CLI Consistency Checker	§19502449423	3	Consistency check
Daily Repository Chronicle	§19507788385	109	Reporting failure
Smoke Claude	§19515083459	10	Smoke test
Smoke Codex	§19515089178	16	Smoke test
Changeset Generator	§19520867468	6	Code generation
Copilot PR NLP Analysis	§19533007878	55	Analysis failure

Note: Some failures show 0 errors logged, indicating failures may be due to timeouts, resource constraints, or external service issues rather than code errors.

Missing Tools

Status: ✅ No missing tool requests detected

All workflow tool requirements are currently satisfied. This is a positive indicator of stable tooling configuration.

MCP Server Failures

Status: ✅ No MCP server failures detected

All MCP server connections remained stable throughout the audit period.

Affected Workflows - Top 15 by Error Count

1. Smoke Claude - 168 errors (7 runs) - 24 errors/run
2. Go Logger Enhancement - 143 errors (2 runs) - 71.5 errors/run
3. Documentation Unbloat - 126 errors (1 run) - 126 errors/run
4. Copilot PR Conversation NLP Analysis - 110 errors (2 runs) - 55 errors/run
5. The Daily Repository Chronicle - 110 errors (2 runs) - 55 errors/run
6. Smoke Codex - 66 errors (7 runs) - 9.4 errors/run
7. Smoke Copilot - 66 errors (7 runs) - 9.4 errors/run
8. Typist - Go Type Analysis - 63 errors (2 runs) - 31.5 errors/run
9. Safe Output Health Monitor - 63 errors (2 runs) - 31.5 errors/run
10. Agentic Workflow Audit Agent - 47 errors (2 runs) - 23.5 errors/run
11. Go Pattern Detector - 35 errors (11 runs) - 3.2 errors/run
12. Changeset Generator - 23 errors (4 runs) - 5.8 errors/run
13. Documentation Noob Tester - 19 errors (2 runs) - 9.5 errors/run
14. Daily Firewall Logs - 17 errors (2 runs) - 8.5 errors/run
15. Copilot Session Insights - 15 errors (2 runs) - 7.5 errors/run

Recommendations

Immediate Actions (High Priority)

1. Investigate Smoke Test Failures - Smoke Claude, Codex, and Copilot are showing consistent errors. These are canary workflows meant to catch issues early; their failures indicate potential systemic problems affecting multiple AI engines.

2. Fix Documentation Unbloat Workflow - Single run with 126 errors suggests a critical bug introduced recently. Review changes to this workflow and roll back if necessary.

3. Debug Go Logger Enhancement - 71.5 errors per run is unsustainable. This workflow may have fundamental design issues or incorrect assumptions about the codebase.

4. Review NLP Analysis Pipeline - Copilot PR Conversation NLP Analysis failing consistently with 55 errors per run. Check data format assumptions and API integrations.

Medium Priority

5. Optimize High-Cost Workflows - Daily costs of $5-10 are significant. Review token-intensive workflows for optimization opportunities (prompt compression, caching, fewer retries).

6. Investigate Zero-Error Failures - Dev and Plan Command workflows failing with no logged errors suggests silent failures (timeouts, OOM, external service issues). Add instrumentation.

7. Review Audit Agent - This workflow itself logged 47 errors across 2 runs. Ensure audit reliability by fixing self-referential issues.

Long-Term Improvements

8. Implement Error Pattern Detection - Build automated alerting for workflows exceeding error thresholds (e.g., >10 errors/run).

9. Cost Monitoring Dashboard - Create real-time cost tracking to identify expensive workflows before monthly bills arrive.

10. Success Rate SLOs - Establish service level objectives (e.g., 95% success rate) and automatic incident creation when breached.

Historical Context

This is an early audit with only 4 days of historical data. Key observations:

• Volume Correlation: Higher run volume (Nov 19: 34 runs) correlates with lower success rate (71%), suggesting possible resource contention or rate limiting.
• Cost Efficiency: November 20th achieved better success rate (88%) with lower token usage (8.33M vs 13.61M), indicating improved efficiency when run volume is moderate.
• Stability Trend: Success rates remain above 70% across all days, showing baseline system stability despite elevated error counts.

Next Steps

• Monitor Smoke test workflows over next 24 hours
• Review and fix Documentation Unbloat workflow
• Investigate Go Logger Enhancement errors
• Audit NLP Analysis workflow configuration
• Implement cost alerts for workflows exceeding $1/run
• Schedule follow-up audit in 24 hours to track improvements

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References:

• §19552794694
• §19507788385
• §19497393609

AI generated by Agentic Workflow Audit Agent