[aw] Codex PR Review exceeded daily AI credits budget

Set max-daily-ai-credits in your workflow frontmatter to a higher value, then recompile:

max-daily-ai-credits: 20K

Common suffix shorthands: K = thousands, M = millions (e.g. 2M = 2,000,000).

After editing the workflow source file, regenerate the compiled lock file:

gh aw compile

Commit and push the updated .lock.yml file.

[!NOTE]
Raising the limit increases the number of AI inference calls the workflow can make
per 24-hour window. Review your Copilot or model provider billing
before significantly increasing the threshold (for example, before doubling the current
value or setting it far above expected usage).

The max-daily-ai-credits frontmatter option sets a per-workflow spending cap measured in AI Credits across the 24-hour window before the current run. The cap is scoped to the repository and workflow — it aggregates usage across all runs of this workflow regardless of who triggered them.

When the aggregated AI Credits usage across all completed runs of this workflow in the last 24 hours exceeds the threshold, the activation job sets the daily_ai_credits_exceeded output to true and the agent job is skipped for that run. The conclusion job still runs and creates this report.

The guardrail is evaluated at activation time, not retrospectively, so a single very large run that pushes usage over the threshold only blocks subsequent runs in the same window — it does not cancel a run that is already in progress.

[!CAUTION]
Disabling this guardrail removes the per-workflow spending cap. Only disable it if you have
an alternative mechanism for controlling AI cost usage or if the workflow is intentionally
uncapped.

Set max-daily-ai-credits: -1 in the workflow frontmatter to explicitly disable the guardrail, then recompile:

max-daily-ai-credits: -1

gh aw compile

Alternatively, remove the max-daily-ai-credits key entirely to fall back to the enterprise-wide default (if one is configured) or to run with no per-workflow cap.

This failure was triggered by a guardrail limit (max-daily-ai-credits). Use this prompt with any coding agent (GitHub Copilot, Claude, Gemini, etc.) to analyze token usage and reduce costs:

Optimize the agentic workflow token consumption using https://raw.githubusercontent.com/github/gh-aw/main/optimize.md

The workflow run is at https://github.com/mysql/mysql-server/actions/runs/35241283222

Use this prompt with any coding agent (GitHub Copilot, Claude, Gemini, etc.):

Debug the agentic workflow failure using https://raw.githubusercontent.com/github/gh-aw/main/debug.md

The failed workflow run is at https://github.com/mysql/mysql-server/actions/runs/35241283222

Debug this workflow failure using your favorite Agent CLI and the agentic-workflows prompt.

• Start your agent
• Load the agentic-workflows skill from .github/skills/agentic-workflows/SKILL.md or https://github.com/github/gh-aw/blob/main/.github/skills/agentic-workflows/SKILL.md
• Type debug the agentic workflow codex-pr-review failure in https://github.com/mysql/mysql-server/actions/runs/35241283222