github / github/copilot-cli

Autopilot task-completion enforcement can override explicit user instructions

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area:agents area:non-interactive
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Beschreibung

Describe the bug

In Copilot CLI autopilot mode, the task-completion enforcement behavior can cause the agent to continue taking action after the user has explicitly narrowed the task to research/explanation only.

In my case, the user explicitly instructed the agent to do nothing besides respond and asked for an explanation/research task. After the agent answered, a follow-up enforcement message appeared:

“You have not yet marked the task as complete using the task_complete tool. If you were planning, stop planning and start implementing.”

That message appears to push the agent toward implementation/action even when the active user request is intentionally non-implementation work.

Why this is a problem

This can lead to the agent making unintended workspace changes despite the user explicitly asking for diagnostic or explanatory help only. The issue is especially risky because the enforcement message is framed as higher-priority continuation guidance, so the agent may treat it as expanding the user’s requested scope.

Suggested improvement

Adjust the completion enforcement prompt/logic so it preserves the current user’s scope constraints. For example:

  • If the user asks for research/explanation only, completing the answer should be considered sufficient.
  • If the user explicitly says not to modify files or take action, the continuation message should not direct the agent to “start implementing.”
  • The agent should be encouraged to call task_complete with a concise summary when the requested non-code task is complete.

Notes

This may be related to autopilot/task-completion behavior introduced or changed recently. The problematic phrase above is included because it seems useful for locating the relevant enforcement path.

Affected version

GitHub Copilot CLI 1.0.77.

Steps to reproduce the behavior
  1. Start a Copilot CLI session with autopilot mode enabled.
  2. Ask for a research-only or explanation-only task, and explicitly prohibit action. For example:

    Please help me understand this behavior. Do not edit files, run implementation steps, or make changes. Just explain what is happening.

  3. Let the agent provide a complete explanatory answer without calling task_complete.
  4. Observe that task-completion enforcement sends a follow-up message similar to:

    “You have not yet marked the task as complete using the task_complete tool. If you were planning, stop planning and start implementing.”

  5. Observe that the agent may interpret this as a directive to take implementation/action-oriented steps, despite the user’s explicit “do not act” instruction.
Expected behavior

If the active user request is clearly research-only, explanation-only, or explicitly says not to modify anything, task-completion enforcement should allow the agent to finish by calling task_complete with a research summary, rather than nudging it toward implementation.

At minimum, the enforcement text should not say “start implementing” when the current task has no implementation component or when the user has explicitly prohibited changes.

Actual behavior

The agent was nudged to continue with implementation-oriented behavior after completing an explanatory/research response, despite the user saying to do nothing except respond.

Additional context
  • Copilot CLI: 1.0.77
  • Mode: autopilot enabled
  • OS: Linux devcontainer
  • Shell: bash
  • Terminal emulator: Herdr-managed terminal session

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Rechercherichtung

Durchsuche das Repository nach der zitierten „start implementing“-Nachricht und dem Durchsetzungspfad für autopilot/task-completion und reproduziere anschließend das Verhalten mithilfe der forschungsorientierten Schritte im Issue. Als erledigt gilt, wenn eine Anfrage, die nur eine Erklärung verlangt, mit einer task_complete-Zusammenfassung abgeschlossen werden kann, ohne implementierungsorientierte Anleitung zu erhalten oder Aktionen gegen explizite Benutzereinschränkungen auszulösen.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

Bewertung

Tech-Stack
shell
Bereich
ai, cli
Issue-Typ
Bug
Schwierigkeit
4/5
Geschätzter Aufwand
3-5 Tage
Aktivitätsstatus
Ruhig
Klarheit
Größtenteils klar
Anfängerfreundlichkeit
45/100

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