Choose one of the following options:

Option 1 — Map the model to a known model using the models field:

Use the models frontmatter field to provide an alias from your custom model name to a model that exists in the built-in pricing table:

---
model: my-custom-model
max-ai-credits: 500
models:
  my-custom-model:
    model: gpt-4.1
---

Option 2 — Use a model already in the built-in pricing table:

Switch to a model name that the AWF pricing system recognizes directly (e.g. gpt-4.1, claude-sonnet-4-5, gemini-2.0-flash).

Option 3 — Set a default AI credits price as a fallback:

Add defaultAiCreditsPricing to supply a price for any unrecognized models:

---
model: my-custom-model
max-ai-credits: 500
models:
  my-custom-model:
    defaultAiCreditsPricing: 3.0
---

This failure was triggered by a guardrail limit (max-turns / timeout). 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/github/gh-aw/actions/runs/29050289232

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/github/gh-aw/actions/runs/29050289232

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 daily-performance-summary failure in https://github.com/github/gh-aw/actions/runs/29050289232