aiui

name	aiui
description	Before writing a yes/no question, a numbered option list, or a multi-question request into the chat, open a native macOS dialog instead — `confirm` for yes/no (always for delete/force-push/drop/deploy), `ask` for one-of-N with per-option context, `form` for ≥ 2 related inputs / secrets / dates / sliders / sortable lists / table-row triage / image confirm.

aiui — Dialog design for Claude agents

aiui exposes three MCP tools that render native dialogs on the user's Mac:

• confirm — irreversible yes/no
• ask — single- or multi-choice with descriptions and optional free-text fallback
• form — composite window with typed fields and multiple action buttons

Default to a dialog, not to chat

The user installed aiui because they want the agent to use it. If you catch yourself about to write any of these in chat, stop and use aiui instead:

• "Would you like me to …?", "Should I proceed?", "Are you sure?" → confirm
• "Do you want option A or B?", numbered lists for the user to pick from → ask
• "Please tell me the …", "What's the …?" with more than one ask → form
• Any step that is destructive or hard to undo (delete, drop, force-push, rollback, prod deploy) → confirm with destructive: true, even if the user already gave loose approval. The dialog makes the consequence explicit and ships the structured answer back, no chat parsing.
• Any step that needs a secret for a moment (token, password) → form with a password field, never paste in chat.
• Any step that is a choice with consequences worth seeing side-by-side ("which deploy strategy?", "which migration path?") → ask with per-option description.
• Any step that wants the user to rank or sort items → form with a sortable list field.
• Any step that wants a date, datetime, range, color, or numeric value in a bounded interval → form with the matching field.

When chat actually wins

Skip the dialog for content the user reads, doesn't answer:

• Status reports, summaries, code snippets, logs, error traces — render in chat.
• Single free-text answers where the user would type the same thing into a dialog box anyway — just ask in chat.
• Anything where the answer is "go on", and the user is paying attention.

Tool choice

Intent	Tool
Yes/no, especially destructive	confirm
2–6 options, possibly with per-option context	ask
Multi-field input, multi-action footer	form
Per-item verdict on a batch of images/videos ("approve/revise/skip each")	gallery
Single free-text answer	just ask in chat
More than 8 fields	split into multiple form calls; do not cram one dialog

Writing labels and copy

• Imperative or noun, ≤ 6 words per label, no punctuation, no emoji.
• Parallel grammar within a dialog. Mixing styles ("Name" / "Please enter your age" / "What's your role?") reads as AI slop.
• Defaults a real user would actually pick, not "enter value here".
• description/static_text only when the label alone is ambiguous — avoid redundancy.

Action buttons (form only)

• Verb-based, concrete. "Create report" beats "OK".

• Styling (pick one per button):

  • primary: true → blue, the main action.
  • success: true → green, positive-outcome verbs ("Approve", "Publish").
  • destructive: true → red, irreversible verbs ("Delete", "Rollback").
  • none → neutral outlined button.

  Never style a save button red; never style a delete button green.

• Offer an escape hatch (skip_validation: true) so required-field validation never traps the user.

• ≤ 3 actions. If you're tempted to add a fourth, rethink the flow.

The list field — one widget, four modes

selectable	multi_select	sortable	Mode
–	–	–	Static info list
✓	–	–	Single-choice (radio)
✓	✓	–	Multi-choice (checkboxes)
–	–	✓	Ordering via drag handles
✓	✓	✓	Pick-and-order

Result is always {selected: [values], order: [values]} — order reflects drag changes, selected reflects checkbox state. Items can carry a thumbnail (data: URL or path) — perfect for shotlists, mood boards, carousel slides where the visual anchor matters more than the label.

The table field — column-aware row triage

When you'd otherwise dump 30 branches / 50 search results / 20 stale files into chat, hand it as a table instead. Columns carry the context (date, size, owner) that list can't, rows are clickable for selection, and the agent gets back the picked rows by their value.

columns: [{key, label, align?: "left"|"right"|"center"}]
rows:    [{value, values: {<key>: <string|number|null>}}]
multi_select?: true     # checkbox-per-row
sortable_by_column?: true   # click headers to sort

Result: {selected: [values], order: [values], sort: {column, dir}}. The order field reflects user-driven sorts so you can preserve their view if you reopen the form.

Inline-context fields: markdown, image, static_text

These don't ask anything — they sit between input fields to give context for the inputs that follow.

• markdown — rendered Markdown block (lists, code, links, tables). Use for "here's the diff I generated, now decide" patterns. Not a standalone display tool — if you'd be tempted to open a window just to show the user a markdown blob, render it in chat instead.
• image — read-only single image preview (src: data: URL or path, optional label, alt, max_height). Use when the agent generated a chart, screenshot, or diagram and needs visual sign-off before the next decision.
• static_text — plain styled note with tone: "info"|"warn"|"muted". Lighter weight than markdown when no formatting is needed.

Schematic diagrams: mermaid

For graph-shaped visualisations — flowcharts, sequence diagrams, state machines, gantt, ER, class diagrams, mind-maps — use the mermaid field instead of ASCII boxes-and-arrows. Spec: {kind: "mermaid", source: "<DSL>", label?, max_height?}. The source is a Mermaid-DSL string; aiui pipes it through mermaid.render(), sanitises the SVG, and embeds inline. Read-only, sits between input fields like markdown / image.

UI-layout mockups: wireframe

Orthogonal to mermaid — mermaid is for graphs, wireframe is for layouts. When you'd otherwise sketch a UI mockup with ASCII boxes-and-pipes (dashboard tiles, hardware-UI panels, login-screen sketch, app-surface layout), use wireframe instead. Real CSS-Grid panels, no monospace approximation.

Spec: {kind: "wireframe", panels: [{title?, content?, col_span?, row_span?, tone?}], columns?, gap?, label?, max_height?}.

Each panel has optional title (uppercase header), content (multi-line monospace body, escape \n for line-breaks), col_span / row_span (default 1), and tone ∈ {"default","muted","highlight"}.

{
  "kind": "wireframe",
  "label": "U-Boot-Funkbude",
  "columns": 3,
  "panels": [
    {"title": "EMPFANG", "col_span": 2, "content": "14:32:07 [SCHWACH] …\n14:32:11 [STARK]   WX MIDWAY"},
    {"title": "STATUS",  "col_span": 1, "content": "Tiefe: 18 m\nKurs:  270°"},
    {"title": "AKTION",  "col_span": 3, "content": "[T]auchen [A]uftauchen [K]urs", "tone": "highlight"}
  ]
}

Read-only, sits between input fields. Anti-pattern: ASCII boxes-and-pipes for anything layout-shaped — that is exactly what this field replaces.

Visual pickers: image_grid

For "pick one (or more) of these N generated images" — logo variants, thumbnail candidates, asset triage. Spec: images: [{value, src, label?}], multi_select?, columns? (default 3). Result: {selected: [values]}.

image_grid picks among candidates. For a separate verdict per item (approve this, revise that, skip the third, optional note each) use the gallery tool below instead.

Batch review: gallery

A standalone tool (not a form field) for reviewing a batch of images and/or videos and collecting one decision per item in a single window — instead of firing confirm once per asset.

Spec: items: [{value, src?, label?, detail?, max_height?}], actions? (per-item buttons, default Approve / Revise / Skip), comment? (free-text per item), columns?. Each item's value must be non-empty and unique — it keys the result. src follows the standard image rules; videos (data:video/ URL, http(s):// URL, or a local .mp4/.mov/.m4v/.webm path) render with native controls. Local videos of any size work — the bridge pushes them to aiui's media cache on the Mac and the dialog streams them back, so a remote clip plays without hosting it anywhere.

Result: {cancelled, decisions: {"<value>": {decision, comment?}}}. Only touched items appear — an untouched item means "no verdict", not a default.

Starting window size: size

form and gallery take an optional size hint — "s", "m", "l" — and aiui picks good local defaults, clamped to the screen. (Explicit width/height in logical px override it; rarely needed.) The hint is a floor: the window opens at max(content-estimate, hint), so it never opens smaller than the content needs, but a sparse dialog can be told to start roomy. Windows are always resizable — but many users don't realise that, so opening at a comfortable size is what separates "polished" from "looks broken". Use "m"/"l" for forms with images/tables/wireframes/many fields, or galleries with a large batch; leave unset for short forms.

datetime field

Lückenfüller between date and date_range. Cron, scheduling, reminders — one field instead of splitting into two text fields with manual validation. Native <input type="datetime-local">, returns ISO YYYY-MM-DDTHH:MM.

Tabs — long forms without scroll fatigue

Drop fields=… and pass tabs=[{label, fields: [...]}, ...] instead. One submit covers all tabs; validation jumps to the first invalid tab automatically. Tabs are display structure, not a wizard — no per-tab confirmation, no per-tab actions, all values land in one response.

Use when a single dialog naturally falls into 2-4 distinct topical groups (e.g. "Identity / Permissions / Notifications" on a user-create form). Don't reach for tabs to cram a 30-field form into 5 tabs — split into multiple form calls instead.

Password fields

For short-lived secrets (one-off API tokens, test passwords), prefer form with a password field over asking in chat: the value is masked on screen while the user types, so it doesn't appear in screen recordings or to a shoulder-surfer.

Be honest with the user, though — the value still returns to you as plaintext in the tool response. For long-lived or high-value secrets, use the secret field with a target (below) so the value never enters the conversation.

Secrets & file-write: secret field + target (#135)

When a value must NOT pass through this conversation — a credential the user pastes that should land in a file, not your transcript — use a secret field with a target. Any input field may carry target; for a secret field the value is write-only (result: {written, target, bytes}, never the value).

{ "kind": "secret", "name": "pat", "label": "GitHub PAT für byte5ai",
  "target": { "mode": "create", "path": "~/.github_tokens/byte5ai",
              "perm": "0600", "overwrite": true } }

• mode:"create" — write raw value (needs overwrite:true to clobber).
• mode:"substitute" — replace a placeholder occurring exactly once in an existing file (YAML/TOML/INI/env); 0 or >1 → error (never misapplied). Pick a distinctive sentinel (__AIUI_SECRET_GITHUB_PAT__, not a common word) so the single match is unambiguous, not just lucky.
• Destination is always your own host: the aiui module there (native app locally, bridge on a remote SSH host) writes it as a LOCAL file op, so create and substitute both work identically local and remote — no foreign host. The user sees the path and approves by submitting. Errors: {written:false, error}.

Replaces the fragile "guess a shell one-liner to stash a token" pattern. QoL + confused-deputy guard, not a hard guarantee.

Anti-patterns (slop vs. clean)

Slop	Clean
confirm(title="Are you sure?")	confirm(title="Drop table 'orders'?", destructive=True, message="18,432 rows will be removed.")
ask(question="Choose one", options=[{"label": "Option 1"}, …])	ask(question="Which migration strategy?", options=[{"label":"In-place","description":"Fast, no rollback."}, …])
form with 15 text fields	Split into logical steps, or push back to chat entirely
Button labels "OK" / "Cancel"	"Deploy" / "Discard" — name what happens
static_text echoing the title	static_text adds context the labels can't carry alone

Quick-reference example

aiui.form(
    title="New feature draft",
    header="Discovery",
    fields=[
        {"kind": "text", "name": "job", "label": "User job",
         "multiline": True, "required": True},
        {"kind": "select", "name": "scope", "label": "Scope",
         "options": [{"label": "Quick win", "value": "qw"},
                     {"label": "Feature", "value": "f"},
                     {"label": "Epic", "value": "e"}],
         "default": "f"},
        {"kind": "list", "name": "stakeholders", "label": "Stakeholders",
         "items": [{"label": "Product", "value": "prod"},
                   {"label": "Design", "value": "design"},
                   {"label": "Engineering", "value": "eng"}],
         "selectable": True, "multi_select": True,
         "default_selected": ["prod", "eng"]},
        {"kind": "date", "name": "deadline", "label": "Target date"},
    ],
    actions=[
        {"label": "Cancel", "value": "cancel", "skip_validation": True},
        {"label": "Save draft", "value": "draft", "skip_validation": True},
        {"label": "Create", "value": "commit", "primary": True},
    ],
)

Response: {cancelled: false, action: "commit", values: {job: "…", scope: "f", stakeholders: {selected: [...], order: [...]}, deadline: "…"}}.