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Description
Description
Recent run summaries show token usage concentrated in a small set of workflows (for example, Issue Monster at ~1.99M tokens, CI Optimization Coach at ~1.78M, Step Name Alignment at ~1.59M). Implement token-budget controls for top-cost workflows: add explicit max-turns, early-stop conditions, and concise prompt templates.
Expected Impact
Lower AI spend and faster run completion without reducing core coverage, plus better predictability for scheduled workflows.
Suggested Agent
daily-copilot-token-report + workflow-health-manager collaboration
Estimated Effort
Medium (1-4 hours)
Data Source
DeepReport analysis run §23445279565, run summaries under /tmp/gh-aw/aw-mcp/logs/run-*/run_summary.json analyzed on 2026-03-23.
Warning
⚠️ Firewall blocked 1 domain
The following domain was blocked by the firewall during workflow execution:
ab.chatgpt.com
To allow these domains, add them to the network.allowed list in your workflow frontmatter:
network:
allowed:
- defaults
- "ab.chatgpt.com"See Network Configuration for more information.
Note
🔒 Integrity filter blocked 1 item
The following item were blocked because they don't meet the GitHub integrity level.
search_issuessearch_issues: has lower integrity than agent requires. The agent cannot read data with integrity below "approved".
To allow these resources, lower min-integrity in your GitHub frontmatter:
tools:
github:
min-integrity: approved # merged | approved | unapproved | noneGenerated by DeepReport - Intelligence Gathering Agent · ◷
- expires on Mar 25, 2026, 3:39 PM UTC