[aw] Issue Duplication Detector: timed out
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Nessuno ha ancora preso questa issue.
Valutazione
- Difficoltà
- 2/5
- Tempo stimato
- 1-3 ore
- Idoneità per principianti
- 35/100
Direzione di ricerca
Start with the linked workflow source, .github/workflows/issue-duplication-detector.md, and inspect its frontmatter alongside run 40349762517’s failure details. The report identifies an agent timeout and an engine outage, but does not establish whether increasing timeout-minutes or another targeted fix is appropriate. Done when the failure is understood and the workflow completes its requested task with a terminal safe output.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Descrizione
What happened
Issue Duplication Detector timed out.
View run #40349762517 · Workflow source · Previous failures
Branch: main
Next step
Review the failure details below for a targeted fix, or assign this issue to a coding agent to investigate.
Failure details
Agent Timed Out: The agent job exceeded the maximum allowed execution time (10 minutes).
To increase the timeout, add or update the timeout-minutes setting in your workflow's frontmatter:
---
timeout-minutes: 20
---
Runtime evidence
[!WARNING]
Task Could Not Be Completed: The workflow recorded areport_incompletesignal: the task was not completed or completion could not be confirmed.
Error details:
Failure classification: engine_outage
Driver exit code: 0
Last tool call status: not recorded
Failed tool calls observed: 0
Token budget state: unknown (no exhaustion signal recorded)
Step budget state (LLM invocations): unknown (no exhaustion signal recorded)
Safe-output tools: available at gateway snapshot (registered 5 tools)
Safe-output CLI calls observed: unknown (not recorded)
Safe-output MCP calls observed: 0
Safe-output persistence: not recorded
Agent finished without emitting a terminal safe output; task completion could not be confirmed.
Retry attempts observed: 0
A comment or other safe output does not confirm that the requested task was completed. Only inferred runtime status and error codes are reported; agent text is excluded.
Optimize token consumption
This failure was triggered by a guardrail limit (max-turns / timeout). Use this prompt with any coding agent (GitHub Copilot, Claude, Gemini, etc.) to analyze token usage and reduce costs:
Optimize the agentic workflow token consumption using https://raw.githubusercontent.com/github/gh-aw/main/optimize.md
The workflow run is at https://github.com/github/gh-aw-firewall/actions/runs/40349762517
Copy a debugging prompt
Paste this into your coding agent:
Debug the agentic workflow "issue-duplication-detector" failure.
Follow https://raw.githubusercontent.com/github/gh-aw/main/debug.md
Failed run: https://github.com/github/gh-aw-firewall/actions/runs/40349762517
If the repository includes the agentic-workflows skill, load it before investigating.
Manage failure notifications
To stop creating failure issues for this workflow, set this in its frontmatter and recompile:
safe-outputs:
report-failure-as-issue: false
This only disables issue reporting; it does not fix the failure.
Generated from Issue Duplication Detector · ◷
- expires on Nov 2, 2026, 3:41 PM UTC
- Lingua principale
- TypeScript
- Stelle
- 150
- Fork
- 76
- Merge medio
- 3h 25m
- PR unite (30g)
- 441
Preparare l'ambiente
- Nessun Dockerfile né file Docker Compose
- Nessun modello di pull request
- Leggi la guida per i contributori
Come iniziare
- Leggi tutta la issue e poi la guida ai contributi del progetto.
- Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
- Fai un fork del repository e lavora su un branch.
- Apri una pull request che faccia riferimento al numero della issue.
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