[aw] Prompt Optimization: engine driver crashed

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Évaluation

Difficulté
4/5
Temps estimé
3-5 jours
Accessibilité débutants
35/100
Type d'issue
Bug
Clarté
Plutôt claire
Activité
Active
Stack technique
github-actions
Domaine
ci-cd

Piste de recherche

Start with the linked run and inspect the failing “Execute GitHub Copilot CLI” step, then read .github/workflows/prompt-optimization.md and the linked debugging guide. The report provides no driver stderr or classified engine error, so identify why the driver exits with code 1 before terminal safe output. Done means the workflow completes or records a specific actionable failure diagnostic.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Description

agentic-workflows
What happened

Prompt Optimization engine driver crashed.

View run #41914261640 · Workflow source · Previous failures

Branch: main

Next step

Review the failure details below for a targeted fix, or assign this issue to a coding agent to investigate.

Failure details
Runtime evidence

[!WARNING]
Task Could Not Be Completed: The workflow recorded a report_incomplete signal: the task was not completed or completion could not be confirmed.

Error details: 
Failure classification: driver_crash
Driver exit code: 1. The engine driver exited before a terminal safe output was recorded.
Last driver stderr summary: not recorded (no classified stderr diagnostic)
Last tool call status: not recorded
Failed tool calls observed: 0
Token budget state: unknown (no exhaustion signal recorded)
Step budget state (LLM invocations): unknown (no exhaustion signal recorded)
Safe-output tools: available at gateway snapshot (registered 7 tools)
Safe-output CLI calls observed: unknown (not recorded)
Safe-output MCP calls observed: 0
Safe-output persistence: not recorded
Agent finished without emitting a terminal safe output; task completion could not be confirmed.
Last engine error type: unknown
Retry attempts observed: 0

A comment or other safe output does not confirm that the requested task was completed. Only inferred runtime status and error codes are reported; agent text is excluded.

Failure Diagnostics

Agent job: agent
Agent job conclusion: failure
Failing step: Execute GitHub Copilot CLI

No additional engine error was captured. Check the reported failure signals and linked run for details.

Only runtime metadata is shown; agent-generated text is excluded.

Copy a debugging prompt

Paste this into your coding agent:

Debug the agentic workflow "prompt-optimization" failure.
Follow https://raw.githubusercontent.com/github/gh-aw/main/debug.md
Failed run: https://github.com/githubnext/gh-aw-wizard/actions/runs/41914261640

If the repository includes the agentic-workflows skill, load it before investigating.

Manage failure notifications

To stop creating failure issues for this workflow, set this in its frontmatter and recompile:

safe-outputs:
  report-failure-as-issue: false

This only disables issue reporting; it does not fix the failure.

Generated from Prompt Optimization · ◷

Langage dominant
JavaScript
Étoiles
6
Forks
1
Merge moyen
1 j 3 h
PR mergées (30 j)
7

Préparer son environnement

Ce projet ne fournit ni conteneur de développement, ni Dockerfile, ni guide de contribution : l'installation est à votre charge. Commencez par son README, et consultez notre guide de la première contribution pour les étapes générales.

Par où commencer

  1. Lisez l'issue en entier, puis le guide de contribution du projet.
  2. Signalez en commentaire que vous la prenez — cela évite que deux personnes fassent le même travail.
  3. Forkez le dépôt et travaillez sur une branche.
  4. Ouvrez une pull request qui référence le numéro de l'issue.

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