[aw] Prompt Optimization reported incomplete result
メンテナーはふだん 1 日以内に返信
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
- 45/100
- issue の種類
- バグ
- 明瞭さ
- おおむね明確
- 活発さ
- 活発
- 技術スタック
- github-actions, javascript, ollama
- 領域
- ai-infra-agents, ci-cd
調査の方向性
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.
索引モデルが issue の本文から書いたものです。
説明
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 · ◷
- 主要言語
- JavaScript
- スター
- 6
- フォーク
- 1
- 平均マージ
- 1日 4時間
- マージ済み PR（30日）
- 32
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
- 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。
- 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。
- リポジトリをフォークし、ブランチを切って変更します。
- issue 番号を参照したプルリクエストを送ります。
githubnext/gh-aw-wizard のほかの issue
-
deep-research
難易度 1/5 1時間未満 初心者へのやさしさ 65/100
githubnext/gh-aw-wizard#314 ·
メンテナーはふだん 1 日以内に返信
-
agentic-workflows
難易度 1/5 1時間未満 初心者へのやさしさ 35/100
githubnext/gh-aw-wizard#319 ·
メンテナーはふだん 1 日以内に返信
-
agentic-workflows
難易度 4/5 3〜5日 初心者へのやさしさ 35/100
githubnext/gh-aw-wizard#317 · コメント 1 件 ·
メンテナーはふだん 1 日以内に返信
-
agentic-workflows
難易度 4/5 3〜5日 初心者へのやさしさ 38/100
githubnext/gh-aw-wizard#309 · コメント 1 件 ·
メンテナーはふだん 1 日以内に返信
-
Codex + autoオープン
難易度 3/5 1〜2日 初心者へのやさしさ 42/100
githubnext/gh-aw-wizard#308 ·
メンテナーはふだん 1 日以内に返信
githubnext/gh-aw-wizard の issue をすべて見る
似ている issue
-
難易度 2/5 1〜3時間 初心者へのやさしさ 82/100
answerLoops/answerLoops#344 ·
メンテナーはふだん 1 日以内に返信
-
Engineering
難易度 2/5 1〜3時間 初心者へのやさしさ 66/100
techmatters/terraso-web-client#3095 ·
-
bug
難易度 2/5 1〜3時間 初心者へのやさしさ 78/100
-
Service process inherits the caller's cwd at first use, holding that folder open on Windows (EBUSY)オープン
難易度 2/5 1〜3時間 初心者へのやさしさ 76/100
-
難易度 2/5 1〜3時間 初心者へのやさしさ 78/100
nextcloud/viewer#3424 · コメント 1 件 ·
メンテナーはふだん 1 日以内に返信