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[aw] Prompt Optimization reported incomplete result

Aperta
  • Qualcosa non va?
#300 0 commenti 0 reazioni 0 assegnatari Vedi su GitHub

I maintainer di solito rispondono entro 1 giorno

Nessuno ha ancora preso questa issue.

Valutazione

Difficoltà
4/5
Tempo stimato
3-5 giorni
Idoneità per principianti
48/100
Tipo di issue
Bug
Chiarezza
Abbastanza chiara
Stato di attività
Attiva
Stack tecnologico
github-actions, javascript
Ambito
ci-cd, devops

Direzione di ricerca

Start with .github/workflows/prompt-optimization.md and the failed run, then inspect scripts/prompt-optimizer.mjs and the referenced debug guidance. Reproduce the unreachable Ollama condition and verify that the workflow can reach its evaluation server, run the --evaluate or --score command, and complete without reporting an incomplete result.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

agentic-workflows
Workflow Failure

Workflow: Prompt Optimization
Branch: main
Run: https://github.com/githubnext/gh-aw-wizard/actions/runs/36351370853

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

Reasons:

  • Ollama eval server unreachable from the agent sandbox

    The prompt-optimization task requires an OpenAI-compatible Ollama server at (127.0.0.1/redacted) with hf.co/bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M and hf.co/unsloth/SmolLM2-360M-Instruct-GGUF:Q4_K_M loaded. From inside the sandboxed agent container, curl to (127.0.0.1/redacted) gets Connection refused, and the squid firewall access log shows the proxied request to host.docker.internal:11434 (resolving to 172.17.0.1:11434, the host gateway) returning a 503 TCP_MISS_ABORTED, i.e. nothing is listening on port 11434 on the host side reachable from this container. No local ollama binary/process/model cache is present under this container image either (checked /opt/hostedtoolcache/ollama/0.33.2/x64/ollama -- installed but its own ollama serve was never started in this container, and it cannot reach the host Ollama instance through the firewall). This means the earlier workflow steps that were supposed to restore the Ollama cache, download the GGUF proxies, and start the OpenAI-compatible server did not leave a reachable server for this task. I could not run any --evaluate or --score command from scripts/prompt-optimizer.mjs, so no hill-climbing, no candidate scoring, and no DEFAULT_SCENARIO_INSTRUCTIONS change was attempted. No PR guard search found an existing open Prompt optimization PR to review either, so no review comment was needed. No repository files were modified; nothing to revert.

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/36351370853
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 · 69.1 AIC · ◷

Lingua principale
JavaScript
Stelle
6
Fork
1
Merge medio
1g 4h
PR unite (30g)
19

Preparare l'ambiente

Questo progetto non fornisce container di sviluppo, Dockerfile né guida per i contributori, quindi l'ambiente è a tuo carico: parti dal suo README e consulta la nostra guida al primo contributo per i passaggi generali.

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

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