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[aw] Prompt Optimization reported incomplete result

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まだ誰も着手していません。

評価

難易度
4/5
見積もり時間
3〜5日
初心者へのやさしさ
35/100
issue の種類
バグ
明瞭さ
説明が足りない
活発さ
活発
技術スタック
github-actions, javascript, ollama
領域
ai, ci-cd, devops

調査の方向性

Start with .github/workflows/prompt-optimization.md and the failed run details, then read .github/skills/agentic-workflows/SKILL.md or the linked debugging guide. Inspect how the workflow provides Ollama, its model cache, GGUF proxies, and prompt-optimizer.mjs; done means the evaluation and scoring steps can run successfully in the workflow.

索引モデルが issue の本文から書いたものです。

説明

agentic-workflows
Workflow Failure

Workflow: Prompt Optimization
Branch: main
Run: https://github.com/githubnext/gh-aw-wizard/actions/runs/36779212881

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

Reasons:

  • The claimed prerequisite infra (restored Ollama cache, downloaded GGUF proxies, running Ollama server at 127.0.0.1:11434) did not actually exist; I could not run the hill-climbing optimization loop.

    No open PR titled "Prompt optimization:" existed, so the guard step was clear to proceed.

Attempting the described setup: ollama was not on PATH (only present at /opt/hostedtoolcache/ollama/0.33.2/x64/ollama, not installed to PATH). No ~/.ollama cache existed (no models, no blobs). No .gguf files were present anywhere on disk. Port 11434 had nothing listening (connection refused).

I started ollama serve manually to probe further:

  • It reported "total blobs: 0" — the model cache was empty, not restored.
  • GPU/inference discovery failed: "llama-server binary not found" (checked all standard paths) — the ollama installation is missing its inference backend (llama-server), so even with models present, standard chat completions via /v1/... would not work.
  • Attempting ollama pull hf.co/unsloth/SmolLM2-360M-Instruct-GGUF:Q4_K_M failed: "Get (hf.co/redacted) Forbidden" — outbound access to Hugging Face is blocked/forbidden in this sandbox, so I could not download the GGUF proxies myself as a workaround.

Given eval/scoring requires --eval-url (127.0.0.1/redacted) with both the Qwen2.5-1.5B and SmolLM2-360M GGUF proxies actually loadable and inferable, none of the prompt-optimizer.mjs --evaluate/--scoresteps could run. I made no repository content changes (only harness-owned metadata reformatting appeared in.github/skills/optimize-scenario-prompt/SKILL.md`, which I did not author and left untouched), and I did not create a pull request or review comment.

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/36779212881
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 · 32.9 AIC · ◷

主要言語
JavaScript
スター
6
フォーク
1
平均マージ
1日 5時間
マージ済み PR(30日)
21

環境構築

このプロジェクトには開発コンテナ、Dockerfile、コントリビューションガイドがありません。まず README を読み、一般的な手順ははじめてのコントリビューションガイドを参照してください。

はじめの一歩

  1. issue を最後まで読み、次にプロジェクトのコントリビューションガイドを読みます。
  2. 着手することを issue にコメントします — 二人が同じ作業をするのを防げます。
  3. リポジトリをフォークし、ブランチを切って変更します。
  4. issue 番号を参照したプルリクエストを送ります。

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