🔍 Agentic Workflow Audit Report - November 12, 2025

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🔍 Agentic Workflow Audit Report - November 12, 2025

This audit analyzed 87 completed workflow runs from the last 24 hours (November 11-12, 2025) to assess workflow health, identify issues, and track performance trends.

Executive Summary

The agentic workflow system maintains a 82.76% success rate with 72 successful runs and 14 failures. However, there are 1,172 errors detected across 26 workflows, with several critical issues requiring immediate attention. Two workflows show 100% failure rates and need urgent investigation.

📈 Workflow Health Trends

Success/Failure Patterns

The chart shows workflow execution patterns over the past 5 days. Success rates remain relatively stable around 80-85%, with November 11 showing the highest success count (42 runs). The failure rate has been consistent, averaging 2-3 failed runs per day.

Workflow Activity Trends

Workflow activity shows steady utilization with November 11 having the highest activity (49 total runs). The 3-day moving average indicates consistent workflow usage without major spikes or drops. Note: Token usage data is not currently being captured in workflow metrics.

Full Audit Report

Audit Statistics

• Period: Last 24 hours (November 11-12, 2025)
• Runs Analyzed: 87
• Workflows Active: 36
• Success Rate: 82.76%
• Issues Found: 1,172 errors + 2 missing tools

⚠️ Critical Issues

1. Workflows with 100% Failure Rate

The following workflows failed on every execution in the last 24 hours:

Workflow	Failures	Total Runs	Failure Rate
Copilot PR Prompt Pattern Analysis	2	2	100.0%
The Daily Repository Chronicle	2	2	100.0%
Changeset Generator	1	1	100.0%
Copilot PR Conversation NLP Analysis	1	1	100.0%
Duplicate Code Detector	1	1	100.0%

Impact: These workflows are completely non-functional and require immediate investigation.

2. Workflows with High Failure Rates

Workflow	Failures	Total Runs	Failure Rate
Daily Documentation Updater	1	2	50.0%
Go Logger Enhancement	1	2	50.0%
CLI Consistency Checker	1	2	50.0%

3. Partially Affected Workflows

Workflow	Failures	Total Runs	Failure Rate
Q	1	6	16.7%
Smoke Codex	1	7	14.3%
Smoke Claude	1	8	12.5%
Smoke Copilot	1	9	11.1%

Error Analysis

Error Distribution by Pattern

Error Pattern	Count	Affected Workflows
Other Error	1,094	26
HTTP Proxy Warning	18	8
Squid Log Name Warning	18	8
Token Limit Exceeded	16	3
Not Found Error	14	7
MCP Tool Response Size	8	1
Connection/Timeout Error	4	2

Critical Error: Token Limit Exceeded

16 occurrences across 3 workflows

Example error:

MCP tool "search_pull_requests" response (47718 tokens) exceeds maximum allowed tokens (25000)

Affected workflows:

• Daily Documentation Updater
• Other workflows using large GitHub API responses

Root cause: GitHub MCP tool responses (especially from search operations) are exceeding the 25,000 token limit.

Recommendation:

• Implement pagination in search queries to limit result sizes
• Use perPage parameter with smaller values (e.g., 10-20 instead of 100)
• Apply jq filters to reduce response size before processing

HTTP Proxy and Squid Warnings

36 total warnings (18 HTTP, 18 Squid)

These are configuration warnings from Squid proxy, not functional errors:

• HTTP requires the use of Via
• log name now starts with a module name. Use 'stdio:/var/log/squid/access.log'

Recommendation: Update Squid configuration to eliminate these warnings.

Missing Tools

1. Python Data Visualization Libraries

Workflow: Daily Firewall Logs Collector and Reporter
Request Count: 1
Reason: Required for generating firewall activity trend charts as specified in the workflow instructions

Recommendation: Install Python libraries (pandas, matplotlib, seaborn) in the firewall reporter workflow environment or provide access to the shared Python environment.

2. Agentic Workflows MCP Server Logs Tool

Workflow: Daily Firewall Logs Collector and Reporter
Request Count: 1
Reason: Need to collect firewall-enabled workflow runs for analysis. The gh CLI is not available in this environment.

Status: ✅ RESOLVED - The MCP server with logs tool is now available and functional.

MCP Server Health

Status: ✅ Healthy

• MCP Server Failures: 0
• All MCP servers are functioning correctly
• GitHub MCP server is operational
• gh-aw MCP server is operational with logs, status, compile, and audit tools

Firewall Analysis

Firewall Logs: Not collected for this audit period

• Allowed Domains: 0 tracked
• Denied Domains: 0 tracked

Note: Firewall logging appears to be disabled or not collected in the analyzed workflows.

Performance Metrics

Token Usage and Cost

⚠️ Data Not Available: Token usage and cost metrics are not being captured in workflow run data.

• Total Tokens: 0 (not recorded)
• Total Cost (24h): $0.00 (not recorded)
• Average Token Usage: 0 (not recorded)

Recommendation: Investigate why token usage metrics are not being tracked. This data is essential for cost analysis and optimization.

Workflow Efficiency

• Average Turns: Data not available in metrics
• Most Active Workflow: Smoke Claude (8 runs)
• Peak Activity: November 11, 2025 (49 runs)

Recommendations

🔴 High Priority (Immediate Action Required)

1. Fix 100% Failure Rate Workflows

   • Investigate Copilot PR Prompt Pattern Analysis (2/2 failures)
   • Investigate The Daily Repository Chronicle (2/2 failures)
   • Check Changeset Generator, Copilot PR Conversation NLP Analysis, and Duplicate Code Detector
   • Review recent changes that may have broken these workflows

2. Resolve Token Limit Errors

   • Implement pagination in search_pull_requests calls
   • Add perPage: 10 parameter to GitHub search operations
   • Use jq filters or response filtering to reduce payload size
   • Consider using minimal_output: true for GitHub tools where available

3. Enable Token Usage Tracking

   • Investigate why token metrics show 0 for all runs
   • Ensure TokenUsage and EstimatedCost are being properly calculated and stored
   • This data is critical for cost monitoring and optimization

🟡 Medium Priority (Address This Week)

4. Install Missing Python Libraries

   • Add pandas, matplotlib, seaborn to Daily Firewall Logs Collector workflow
   • Consider creating a shared Python environment for all workflows

5. Fix Squid Proxy Warnings

   • Update Squid configuration to use Via headers
   • Update log path configuration to use modern format

6. Investigate High Error Count

   • 1,094 "Other Error" occurrences need categorization
   • Review error logs for these workflows to identify patterns
   • Many appear to be serialized JSON in error messages - review logging format

🟢 Low Priority (Future Improvements)

7. Enable Firewall Logging

   • Configure firewall-enabled workflows to log access attempts
   • Track allowed and denied domains for security monitoring

8. Improve Error Reporting

   • Categorize "Other Error" types more specifically
   • Implement structured error logging for better analysis

9. Optimize Workflow Success Rates

   • Target 95%+ success rate across all workflows
   • Implement retry logic for transient failures
   • Add better error handling in workflow scripts

Historical Context

Comparing with previous audits from cache memory:

• October 2025: Similar success rates observed (80-85%)
• Trend: Token limit errors are a recurring issue
• Improvement: MCP server stability has improved (0 failures)

Next Steps

• Investigate and fix 5 workflows with 100% failure rate
• Implement pagination for GitHub API calls to prevent token limit errors
• Enable token usage tracking in workflow metrics
• Install Python visualization libraries in firewall reporter
• Update Squid proxy configuration
• Review and categorize the 1,094 "Other Error" occurrences

---

Audit Completed: 2025-11-12 at 00:42 UTC
Audit Agent: Agentic Workflow Audit Agent
Next Scheduled Audit: 2025-11-13 at 00:00 UTC

References:

• §19188988906
• §19189007943
• §19272752901

AI generated by Agentic Workflow Audit Agent

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