🔍 Agentic Workflow Audit Report - October 18, 2025

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🔍 Agentic Workflow Audit Report - October 18, 2025

Audit Summary

• Period: Last 24 hours (Oct 17-18, 2025)
• Runs Analyzed: 19
• Workflows Active: 9 unique workflows
• Success Rate: 89.5% (17 successful, 2 cancelled)
• Total Cost: $2.49
• Total Tokens: 3,209,684
• Total Turns: 156
• Issues Found: 1 minor issue

🎯 Overall Status: HEALTHY ✅

The agentic workflow system is operating well with no critical issues, no missing tools, and no MCP server failures detected.

Missing Tools

✅ No missing tools detected - All tool requests were successfully handled.

MCP Server Failures

✅ No MCP server failures detected - All MCP servers responded successfully.

Issues Detected

Minor Issue: Token Limit Exceeded

Severity: Low (workflow completed successfully despite warnings)

Affected Workflow: Copilot Agent PR Analysis (run #18605582702)

Description: The workflow attempted to fetch large result sets from GitHub search/list APIs without pagination, causing responses to exceed the 25,000 token limit for MCP tool responses.

Token counts that exceeded limit:

• search_pull_requests: 218,145 tokens (8.7x over limit)
• list_pull_requests: 232,698 tokens (9.3x over limit)
• list_pull_requests: 41,494 tokens (1.7x over limit)
• search_pull_requests: 34,630 tokens (1.4x over limit)
• search_pull_requests: 29,571 tokens (1.2x over limit)
• search_pull_requests: 56,324 tokens (2.3x over limit)

Impact: Workflow had to retry multiple times but eventually completed successfully with 92 turns and $1.11 cost.

Recommendation: The workflow should use pagination parameters (perPage, page) when calling GitHub MCP tools:

{
  "perPage": 20,
  "page": 1
}

Error Analysis

Total Errors Reported: 336
Total Warnings Reported: 436

Important Note: The vast majority of these "errors" are false positives from the log parsing system. They represent JavaScript error-handling code (try/catch blocks, error handling functions) in the workflow validation scripts, not actual runtime errors.

Actual Critical Errors: 0

Error Breakdown by Type:

• JavaScript error handling code: ~95% (false positives)
• Token limit warnings: 6 instances (handled gracefully)
• Actual failures: 0

Recommendation: Consider refining error detection patterns to exclude JavaScript source code from error scanning.

Performance Metrics

Highest Cost Workflow

• Workflow: Copilot Agent PR Analysis
• Run ID: 18605582702
• Cost: $1.11
• Tokens: 1,987,475
• Turns: 92
• Duration: 5.5 minutes

Average Metrics by Engine

Engine	Runs	Success Rate	Avg Cost	Total Tokens
Claude	4	100%	$0.49	888,048
Copilot	14	85.7%	$0.21	334,131
Codex	1	100%	$0.00	0

Workflow Activity Breakdown

Most Active Workflows (Last 24h)

1. Dev - 9 runs (88.9% success, 1 cancelled)
2. Tidy - 4 runs (75% success, 1 cancelled)
3. Changeset Generator - 3 runs (100% success)
4. Copilot Agent PR Analysis - 1 run (100% success)
5. Issue Classifier - 1 run (100% success)

Tool Usage Statistics

Most Used Tools:

• github MCP tools: 330 calls across 7 runs
• safe_outputs tools: 14 calls across 5 runs
• TodoWrite: 11 calls across 2 runs
• github_search_pull_requests: 10 calls
• Read: 10 calls across 4 runs

Historical Context

Comparing with previous audits from /tmp/gh-aw/cache-memory/audits/:

• Oct 16: Very quiet (1 run) - likely timing between scheduled workflows
• Oct 15: 100% success rate, 10 runs, $3.54
• Oct 14 (afternoon): 75% success rate, 24 runs - degraded status
• Oct 14 (morning): 100% success rate, 9 runs

Trend: System has recovered from Oct 14 degradation and is operating normally.

Recommendations

1. For Copilot Agent PR Analysis workflow:

   • Add pagination to GitHub search/list API calls
   • Use perPage: 20 to keep responses under token limits
   • Consider batching PR analysis across multiple turns

2. For Error Detection System:

   • Update error patterns to exclude JavaScript source code
   • Focus on actual runtime errors, not code that handles errors
   • Reduce false positive noise in audit reports

3. General:

   • Continue monitoring token usage trends
   • No immediate action required for other workflows

Conclusion

The agentic workflow system is healthy and performing well. The only issue detected is a minor optimization opportunity in the Copilot Agent PR Analysis workflow to use pagination for large data sets. No critical issues, missing tools, or MCP failures were found.

All audit data has been stored in /tmp/gh-aw/cache-memory/audits/2025-10-18.json for future trend analysis.

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🤖 Automated audit performed by Agentic Workflow Audit Agent
Next scheduled audit: October 19, 2025 at 00:00 UTC

AI generated by Agentic Workflow Audit Agent

[github-actions[bot]]

This discussion was automatically closed because it was created by an agentic workflow more than 1 month ago.