Files
openclaw/docs/tools/ask-user.md
Peter Steinberger 81362bf643 feat(apps,ui): question surface parity and composer takeover (#110681)
* feat(apple): question parity — persistent summaries, skip, reconnect fallback, macOS keyboard

* feat(android): question parity — persistent summaries, skip, reconnect fallback

* feat(ui): question panel replaces composer while expanded

* fix(apps): regenerate question parity contracts

* fix(apps): preserve question reconciliation state

* fix(apps): keep question terminal state monotonic

* test(android): satisfy question test formatting

* fix(security): restore skill audit file reads

* fix(apps): harden question parity edge cases

* fix(apps): preserve expired question summaries

* fix(apps): keep question recovery retries current

* fix(apps): retry stale question recovery snapshots

* fix(android): reset stale question retry budgets

* docs(tools): clarify question composer takeover

* fix(apps): satisfy question recovery release gates

* fix(apps): preserve unknown question outcomes

* fix(apps): harden question action state

* fix(apps): keep unavailable questions terminal

* fix(apps): finalize local question outcomes

* fix(apps): preserve question card API

* fix(apps): reconcile external question answers

* fix(apps): reset question backoff budget

* chore(apps): refresh native i18n inventory

* fix(android): distinguish question skip progress

* fix(android): reconcile locally expired questions

* fix(apps): keep question recovery state fresh

* docs: note question surface parity

* fix(ui): reconcile IME draft before question takeover

* docs: leave question parity notes to release workflow
2026-07-18 21:42:15 +01:00

3.5 KiB

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summary read_when title
How ask_user pauses an agent turn for a structured human decision
You want an agent to ask the user a structured question
You are answering or debugging an ask_user prompt
You need the ask_user schema, timeout, or channel behavior
Ask user

ask_user lets the agent ask the human one to three structured questions and wait for the answers. It is for decisions that genuinely belong to the user, not routine confirmation or information the agent can derive from the request, code, or a sensible default.

The tool is available only in the main session. Subagents and other non-primary runs do not receive it.

Answer a question

You can answer from any supported conversation surface:

  • The web Control UI docks a question panel directly above the composer. For multi-question prompts, the panel shows one question at a time and advances through a short stepper. After resolution, the panel closes and the chat keeps only a compact answer summary.
  • Telegram, Discord, and Slack render native buttons for a single-choice, single-question prompt.
  • A plain-text reply works on any channel. Reply with a number, an option label, or your own answer.

OpenClaw always enables a free-text Other answer. The agent must not add an Other option to the authored option list.

Platform behavior

Answers work on every supported conversation surface. The web Control UI uses a docked stepper that replaces the composer while expanded; collapsing it restores the full composer beneath a slim question bar. iOS, macOS, and Android show inline cards; multiple questions stay stacked as an intentional touch-friendly idiom. Every platform keeps the question-to-answer summary in the active chat timeline without timed eviction, and Skip is available everywhere.

Prompts that cannot use native buttons, including multi-question and multi-select prompts, degrade to readable text on channels. The Control UI keeps the full structured stepper.

Timeout and no answer

The default timeout is 900 seconds. timeoutSeconds is clamped to the range 30 through 3600 seconds.

If the question expires or is cancelled before an answer arrives, the tool returns status: "no_answer". The agent then continues with its best judgment. An aborted agent run cancels its pending Gateway question.

Tool schema

{
  questions: Array<{
    id: string; // unique snake_case answer key
    header: string; // short label; truncated to 12 characters
    question: string; // one sentence
    options: Array<{
      label: string;
      description?: string;
    }>; // 2-4 options
    multiSelect?: boolean;
  }>; // 1-3 questions
  timeoutSeconds?: number; // integer; default 900, clamped to 30-3600
}

With multiSelect: true, the user can choose more than one option. Answer values are returned as an array for every question.

Example answered result:

{
  "status": "answered",
  "answers": {
    "answers": {
      "deploy_target": {
        "answers": ["Staging (Recommended)"]
      }
    }
  }
}

Model guidance

The model-facing contract tells the agent to:

  • ask only when blocked on a genuinely user-owned decision;
  • prefer one question and use no more than three;
  • put the recommended option first and suffix its label with (Recommended);
  • omit an authored Other option because free text is added automatically;
  • continue with best judgment after no_answer.

The agent should not use ask_user to ask whether it may proceed or to confirm its own plan.