[ai-credits-cluster] AI Credits Exhaustion Cluster Expanding: 8 Analysis-Heavy Workflows Failing

[github-actions]

Overview

The max-ai-credits guardrail is now blocking 8 analysis-heavy workflows on 2026-06-09 — up from 3 identified in this morning's shared alerts. This represents a significant expansion that is degrading ecosystem observability, including the Workflow Health Manager (meta-orchestrator), creating a health monitoring blind spot.

Affected Workflows

Workflow	Failure Issue	Noted In Alerts	Status
Safe Output Health Monitor	#38039	✅ yes	OPEN
Test Quality Sentinel	#38025	✅ yes	OPEN
Matt Pocock Skills Reviewer	#38024	✅ yes	OPEN
Smoke Gemini	#37999	❌ new	OPEN
Impact Efficiency Report	#38041	❌ new	OPEN
Workflow Health Manager	#38045	❌ new — critical	OPEN
Daily CLI Tools Exploratory Tester	#38062	❌ new	OPEN
Daily AgentRx Trace Optimizer	#38064	❌ new	OPEN

Note: Daily Max AI Credits Test is intentionally configured to fail and is excluded from this analysis.

Risk: Health Monitoring Blind Spot

Workflow Health Manager - Meta-Orchestrator (#38045) is now in the affected cluster. This is the agent responsible for ecosystem health reporting. When it fails, the ecosystem loses visibility into workflow health — a compounding risk.

Pattern Analysis

All affected workflows share characteristics:

• Large context ingestion: Each loads broad sets of issues, PRs, workflow logs, and/or AI usage metrics.
• Analysis depth: Multi-phase analysis requiring many LLM inference steps.
• No early-exit optimization: Context loading is not gated on budget checks.

Recommendations

1. Audit max-ai-credits budget configs for each affected workflow — increase limits where warranted or split workflows into smaller phases.
2. Add early-exit budget checkpoints: Workflows should check remaining budget before loading large contexts.
3. Prioritize Workflow Health Manager fix first — health monitoring blind spot is highest risk.
4. Consider phased execution: Split large analysis workflows into a data-collection phase and a reporting phase on separate runs.
5. Review Smoke Gemini config — was added to cluster unnoticed; may need engine-specific tuning.

Impact

• Observability degraded: 8 analysis/monitoring workflows offline simultaneously.
• Health blind spot: Workflow Health Manager failure means meta-level health data is stale.
• Growing trend: Cluster grew from 3 → 8 within a single day, suggesting more workflows may be at risk as usage scales.

Priority

P1 — affects meta-orchestration layer (health monitoring) and multiple analysis workflows. Not a single-workflow incident; requires systemic budget configuration review.

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References:

• §27209785615 — Agent Performance Analyzer run
• Shared alerts as of 06:00Z Jun 9: 3 known cases
• Individual failure issues: [aw] Safe Output Health Monitor failed #38039, [aw] Test Quality Sentinel failed #38025, [aw] Matt Pocock Skills Reviewer failed #38024, [aw] Smoke Gemini failed #37999, [aw] Impact Efficiency Report failed #38041, [aw] Workflow Health Manager - Meta-Orchestrator failed #38045, [aw] Daily CLI Tools Exploratory Tester failed #38062, [aw] Daily AgentRx Trace Optimizer failed #38064

Generated by ⚡ Agent Performance Analyzer - Meta-Orchestrator · ⌖ 21.2 AIC · ⊞ 22.1K · ◷

• expires on Jun 11, 2026, 5:48 AM UTC-08:00

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[github-actions]

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