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Reduce unnecessary model or tool calls in the prompt.
Trim large inputs or excess context that does not change the outcome.
Split large tasks across smaller runs when possible.
Warning
Task Could Not Be Completed: The agent reported that the task could not be performed due to an infrastructure or tool failure.
Reasons:
Agent finished without emitting any valid safe outputs; task completion could not be confirmed.
{"type":"error","error":"Ran into this error: Authentication error: Authentication failed for (apiproxy/redacted) Status: 403 Forbidden. Response: Maximum AI credits exceeded (5.447150 / 5)..\n\nPlease retry if you think this is a transient or recoverable error."}
Ran into this error: Authentication error: Authentication failed for (apiproxy/redacted) Status: 403 Forbidden. Response: Maximum AI credits exceeded (5.447150 / 5)..
Please retry if you think this is a transient or recoverable error.
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.
Warning
Engine Failure: The goose engine terminated before producing output.
Driver exit code: 1
Error details:
Ran into this error: Authentication error: Authentication failed for http://api-proxy:10002/chat/completions. Status: 403 Forbidden. Response: Maximum AI credits exceeded (5.447150 / 5)..
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-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/github/gh-aw/actions/runs/37264898160
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/37264898160
Manually invoke the agent
Debug this workflow failure using your favorite Agent CLI and the agentic-workflows prompt.
Workflow Failure
Workflow: Smoke Goose
Branch: pelikhan-goose-engine-upgrade
Run: https://github.com/github/gh-aw/actions/runs/37264898160
Warning
AI Credits Budget Exceeded
The workflow hit the configured
max-ai-creditsguardrail. Used5.45of5max (over by0.447).Increase the limit
Update
max-ai-creditsin your workflow frontmatter:Tips for reducing AI credit usage
Warning
Task Could Not Be Completed: The agent reported that the task could not be performed due to an infrastructure or tool failure.
Reasons:
Agent finished without emitting any valid safe outputs; task completion could not be confirmed.
{"type":"error","error":"Ran into this error: Authentication error: Authentication failed for (apiproxy/redacted) Status: 403 Forbidden. Response: Maximum AI credits exceeded (5.447150 / 5)..\n\nPlease retry if you think this is a transient or recoverable error."}
Ran into this error: Authentication error: Authentication failed for (apiproxy/redacted) Status: 403 Forbidden. Response: Maximum AI credits exceeded (5.447150 / 5)..
Please retry if you think this is a transient or recoverable error.
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.Warning
Engine Failure: The
gooseengine terminated before producing output.Driver exit code: 1
Error details:
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-ai-credits). 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 smoke-goose failure in https://github.com/github/gh-aw/actions/runs/37264898160Tip
Stop reporting this workflow as a failure
To stop a workflow from creating failure issues, set
report-failure-as-issue: falsein its frontmatter: