[aw] Prompt Optimization reported incomplete result
Los mantenedores suelen responder en 1 día
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
- Área
- ai-infra-agents, ci-cd
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
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 servehad not been started. -
Started
ollama servemanually 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_Mfailed: "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.
- Start your agent
- Load the
agentic-workflowsskill from.github/skills/agentic-workflows/SKILL.mdor https://github.com/github/gh-aw/blob/main/.github/skills/agentic-workflows/SKILL.md - Type
debug the agentic workflow prompt-optimization failure in https://github.com/githubnext/gh-aw-wizard/actions/runs/37689104950
[!TIP]
Stop reporting this workflow as a failure
To stop a workflow from creating failure issues, set
report-failure-as-issue: falsein 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
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
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