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[aw] GPL Dependency Cleaner (gpclean) has no AI credits pricing for model (gpt-6.1-sol) #66765
Model has no AI credits pricing: The agent failed because model gpt-6.1-sol is not in the built-in pricing table and no default fallback pricing is configured. The AWF API proxy rejected every inference request with HTTP 400.
This is a configuration issue — retrying will not help. The model must have pricing before the workflow can run.
How to fix this
Option 1 — Add pricing in the workflow frontmatter:
models:
providers:
openai:
models:
'gpt-6.1-sol':
cost:
# Placeholder values — replace with actual pricing for this modelinput: "0e0"# $0.00 per million input tokensoutput: "0e0"# $0.00 per million output tokenscache_read: "0e0"# $0.00 per million cache-read tokenscache_write: "0e0"# $0.00 per million cache-write tokens
Use the provider key matching your engine: github-copilot (Copilot), anthropic (Claude), openai (Codex), or google (Gemini). Only input and output are required; the rest default to zero (or output for reasoning).
Option 2 — Map the model to a known model using the models field:
If gpt-6.1-sol is an alias for a model already in the built-in pricing table, use the models frontmatter field to provide the mapping:
models:
'gpt-6.1-sol':
- claude-sonnet-4-5
Option 3 — Switch to a model already in the built-in pricing table:
Replace gpt-6.1-sol in the workflow frontmatter with a model name that the AWF pricing system recognizes (e.g. claude-sonnet-4-5, gpt-4.1, gemini-2.0-flash).
Warning
Task Could Not Be Completed: The agent reported that the task could not be performed due to an infrastructure or tool failure.
Error details:
engine_driver_failure
Agent finished without emitting a terminal safe output; task completion could not be confirmed.
Driver exit code: 1. The engine driver exited before a terminal safe output was recorded.
Engine error: Model has no AI credits pricing (missing_model_pricing_error)
Failure classification: engine_outage
Last engine error type: missing_model_pricing_error
Retry attempts observed: 0
This is a structured incompletion signal (report_incomplete), not a real task outcome. Any other safe outputs emitted alongside this signal (e.g., comments) describe the failure state, not a completed review or action.
Action Required
Assign this issue to an agent to debug and fix the issue.
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/37723044256
Manually invoke the agent
Debug this workflow failure using your favorite Agent CLI and the agentic-workflows prompt.
Workflow Failure
Workflow: GPL Dependency Cleaner (gpclean)
Branch: main
Run: https://github.com/github/gh-aw/actions/runs/37723044256
Warning
Model has no AI credits pricing: The agent failed because model
gpt-6.1-solis not in the built-in pricing table and no default fallback pricing is configured. The AWF API proxy rejected every inference request with HTTP 400.This is a configuration issue — retrying will not help. The model must have pricing before the workflow can run.
How to fix this
Option 1 — Add pricing in the workflow frontmatter:
Use the provider key matching your engine:
github-copilot(Copilot),anthropic(Claude),openai(Codex), orgoogle(Gemini). Onlyinputandoutputare required; the rest default to zero (oroutputforreasoning).Option 2 — Map the model to a known model using the
modelsfield:If
gpt-6.1-solis an alias for a model already in the built-in pricing table, use themodelsfrontmatter field to provide the mapping:Option 3 — Switch to a model already in the built-in pricing table:
Replace
gpt-6.1-solin the workflow frontmatter with a model name that the AWF pricing system recognizes (e.g.claude-sonnet-4-5,gpt-4.1,gemini-2.0-flash).Warning
Task Could Not Be Completed: The agent reported that the task could not be performed due to an infrastructure or tool failure.
Error details:
This is a structured incompletion signal (
report_incomplete), not a real task outcome. Any other safe outputs emitted alongside this signal (e.g., comments) describe the failure state, not a completed review or action.Action Required
Assign this issue to an agent to debug and fix the issue.
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 gpclean failure in https://github.com/github/gh-aw/actions/runs/37723044256Tip
Stop reporting this workflow as a failure
To stop a workflow from creating failure issues, set
report-failure-as-issue: falsein its frontmatter: