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Unknown Model for AI Credits Pricing: The agent failed because the requested model is not in the built-in AI credits pricing table and max-ai-credits is active. The AWF API proxy rejected the request with an HTTP 400 error.
This is a configuration issue, not a transient error — retrying will not help.
How to fix this
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:
Agent Timed Out: The agent job exceeded the maximum allowed execution time (30 minutes).
To increase the timeout, add or update the timeout-minutes setting in your workflow's frontmatter:
---
timeout-minutes: 40
---
Action Required
Assign this issue to an agent to debug and fix the issue.
Optimize token consumption
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
Debug with any coding agent
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
Manually invoke the agent
Debug this workflow failure using your favorite Agent CLI and the agentic-workflows prompt.
Workflow Failure
Workflow: Daily Project Performance Summary Generator (Using MCP Scripts)
Branch: main
Run: https://github.com/github/gh-aw/actions/runs/29050289232
Warning
Unknown Model for AI Credits Pricing: The agent failed because the requested model is not in the built-in AI credits pricing table and
max-ai-creditsis active. The AWF API proxy rejected the request with an HTTP 400 error.This is a configuration issue, not a transient error — retrying will not help.
How to fix this
Choose one of the following options:
Option 1 — Map the model to a known model using the
modelsfield:Use the
modelsfrontmatter field to provide an alias from your custom model name to a model that exists in the built-in pricing table: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
defaultAiCreditsPricingto supply a price for any unrecognized models:Agent Timed Out: The agent job exceeded the maximum allowed execution time (30 minutes).
To increase the timeout, add or update the
timeout-minutessetting in your workflow's frontmatter:Action Required
Assign this issue to an agent to debug and fix the issue.
Optimize token consumption
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:
Debug with any coding agent
Use this prompt with any coding agent (GitHub Copilot, Claude, Gemini, etc.):
Manually invoke the agent
Debug this workflow failure using your favorite Agent CLI and the
agentic-workflowsprompt.agentic-workflowsskill from.github/skills/agentic-workflows/SKILL.mdor https://github.com/github/gh-aw/blob/main/.github/skills/agentic-workflows/SKILL.mddebug the agentic workflow daily-performance-summary failure in https://github.com/github/gh-aw/actions/runs/29050289232Tip
Stop reporting this workflow as a failure
To stop a workflow from creating failure issues, set
report-failure-as-issue: falsein its frontmatter: