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[aw] Prompt Optimization reported incomplete result

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#322 0 comentarios 0 reacciones 0 asignados Ver en GitHub

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Nadie ha tomado este issue todavía.

Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
45/100
Tipo de issue
Error
Claridad
Bastante claro
Estado de actividad
Activo
Stack tecnológico
github-actions, javascript, ollama

Línea de trabajo

Start by reading .github/workflows/prompt-optimization.md and inspect the linked Actions run, especially the model-cache restore and model verification steps. Trace why Ollama model weights are unavailable and the Hugging Face downloads are blocked in this workflow environment. Done when the workflow can run its evaluation, or reports an actionable failure without claiming the task is complete.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

agentic-workflows
Workflow Failure

Workflow: Prompt Optimization
Branch: main
Run: https://github.com/githubnext/gh-aw-wizard/actions/runs/37689104950

[!WARNING]
Task Could Not Be Completed: The agent reported that the task could not be performed due to an infrastructure or tool failure.

Reasons:

  • Required Ollama eval models were not available: ollama serve was not running and ~/.ollama/models was empty (cache restore produced no manifests). ollama pull for both hf.co GGUF proxies failed with 403 Forbidden because hf.co/huggingface.co are not in the firewall's allowed-domains list (only defaults/node/local domains are permitted). I cannot bypass the network firewall to fetch model weights, so no evaluation, hill-climbing, or PR/review work could be performed.

    Checks performed:

  • No open PR titled "Prompt optimization: ..." existed (gh pr list returned empty), so the existing-PR guard path did not apply.

  • curl to (127.0.0.1/redacted) initially failed with connection refused; no ollama process was running.

  • Found the ollama 0.33.2 binary at /opt/hostedtoolcache/ollama/0.33.2/x64/ollama (installed by ai-action/setup-ollama) but it was not on PATH and ollama serve had not been started.

  • Started ollama serve manually to verify API reachability (succeeded, version 0.33.2 responded on 127.0.0.1:11434).

  • ~/.ollama/models/manifests and blobs directories existed but were empty (0 blobs), confirming the "Restore Hugging Face model weights" actions/cache step and "Load and verify evaluation models" step either did not run or did not populate the cache in this session.

  • ollama pull hf.co/bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M failed: "Get (hf.co/redacted) Forbidden".

  • Direct curl to (hf.co/redacted) via the configured HTTPS proxy (172.30.0.10:3128) returned HTTP 403 from the squid proxy (ERR_ACCESS_DENIED); the GH_AW_ALLOWED_DOMAINS list does not include hf.co, huggingface.co, or cdn-lfs.huggingface.co.

  • No repository or working-directory files were modified; nothing to revert.

No PR, review comment, or review was created, consistent with the "Apply and validate" fallback instructions (revert and report when prerequisites cannot be met).

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/githubnext/gh-aw-wizard/actions/runs/37689104950
Manually invoke the agent

Debug this workflow failure using your favorite Agent CLI and the agentic-workflows prompt.

[!TIP]

Stop reporting this workflow as a failure

To stop a workflow from creating failure issues, set report-failure-as-issue: false in its frontmatter:

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

Generated from Prompt Optimization · copilot · 49.5 AIC · ◷

Lenguaje dominante
JavaScript
Estrellas
6
Forks
1
Merge medio
1 d 4 h
PR fusionados (30 d)
32

Preparar el entorno

Este proyecto no incluye contenedor de desarrollo, Dockerfile ni guía de contribución, así que la configuración corre por tu cuenta: empieza por su README y consulta nuestra guía para la primera contribución para los pasos generales.

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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