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Task Could Not Be Completed: The agent reported that the task could not be performed due to an infrastructure or tool failure.
Reasons:
Ollama server was not running at (127.0.0.1/redacted) as the task claimed (connection refused, no ollama process, empty model cache). Started ollama serve myself, but pulling both required GGUF proxy models (bartowski/Qwen2.5-1.5B-Instruct-GGUF and unsloth/SmolLM2-360M-Instruct-GGUF) from huggingface.co failed with 403 Forbidden — the sandbox's squid proxy blocks hf.co/huggingface.co entirely (ERR_ACCESS_DENIED). No cached/pre-downloaded model weights exist anywhere in the environment. Without a reachable eval endpoint serving these models, no evaluation, scoring, or hill-climbing could be performed, so no candidate prompt could be measured or adopted.
Checked: no ollama process running initially (verified via ps aux); binary present at /opt/hostedtoolcache/ollama/0.33.2/x64/ollama, started manually with OLLAMA_MODELS=/tmp/gh-aw/agent/ollama-models — server came up healthy ("Ollama is running") but with 0 blobs/models loaded. ollama pull hf.co/bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M failed: "pull model manifest: Get (hf.co/redacted) Forbidden". Direct curl to (hf.co/redacted) and (huggingface.co/redacted) through the configured HTTPS_PROXY (172.30.0.10:3128) returns HTTP 403 from squid (X-Squid-Error: ERR_ACCESS_DENIED). No .gguf files or Ollama manifest/blob directories found anywhere on disk. Confirmed no open PR titled "Prompt optimization:" existed, so this was a fresh optimization attempt, not a review-existing-PR path. Reverted the one incidental change to .github/skills/optimize-scenario-prompt/SKILL.md (front-matter reordering from skill loading) so the working tree is clean; no other repository files were modified, and no PR, review comment, or review was created.
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
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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/33684556510
Manually invoke the agent
Debug this workflow failure using your favorite Agent CLI and the agentic-workflows prompt.
Workflow Failure
Workflow: Prompt Optimization
Branch: main
Run: https://github.com/githubnext/gh-aw-wizard/actions/runs/33684556510
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 server was not running at (127.0.0.1/redacted) as the task claimed (connection refused, no ollama process, empty model cache). Started ollama serve myself, but pulling both required GGUF proxy models (bartowski/Qwen2.5-1.5B-Instruct-GGUF and unsloth/SmolLM2-360M-Instruct-GGUF) from huggingface.co failed with 403 Forbidden — the sandbox's squid proxy blocks hf.co/huggingface.co entirely (ERR_ACCESS_DENIED). No cached/pre-downloaded model weights exist anywhere in the environment. Without a reachable eval endpoint serving these models, no evaluation, scoring, or hill-climbing could be performed, so no candidate prompt could be measured or adopted.
Checked: no
ollamaprocess running initially (verified via ps aux); binary present at /opt/hostedtoolcache/ollama/0.33.2/x64/ollama, started manually with OLLAMA_MODELS=/tmp/gh-aw/agent/ollama-models — server came up healthy ("Ollama is running") but with 0 blobs/models loaded.ollama pull hf.co/bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_Mfailed: "pull model manifest: Get (hf.co/redacted) Forbidden". Direct curl to (hf.co/redacted) and (huggingface.co/redacted) through the configured HTTPS_PROXY (172.30.0.10:3128) returns HTTP 403 from squid (X-Squid-Error: ERR_ACCESS_DENIED). No .gguf files or Ollama manifest/blob directories found anywhere on disk. Confirmed no open PR titled "Prompt optimization:" existed, so this was a fresh optimization attempt, not a review-existing-PR path. Reverted the one incidental change to .github/skills/optimize-scenario-prompt/SKILL.md (front-matter reordering from skill loading) so the working tree is clean; no other repository files were modified, and no PR, review comment, or review was created.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.):
Manually invoke the agent
Debug this workflow failure using your favorite Agent CLI and the
agentic-workflowsprompt.agentic-workflowsskill from.github/skills/agentic-workflows/SKILL.mdor https://github.com/github/gh-aw/blob/main/.github/skills/agentic-workflows/SKILL.mddebug the agentic workflow prompt-optimization failure in https://github.com/githubnext/gh-aw-wizard/actions/runs/33684556510Tip
Stop reporting this workflow as a failure
To stop a workflow from creating failure issues, set
report-failure-as-issue: falsein its frontmatter: