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Get Started Free →Use when the agent should ask the user for structured input with an in-chat form, including single-select, multi-select, text fields, style pickers, or voice audition choices.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-19 | ✗→✓ | ▲ Improved | 8% | 0% |
| case-21 | ✗→✓ | ▲ Improved | -40% | 0% |
| case-15 | ✓→✗ | ▼ Worse | -20% | 0% |
| case-18 | ✓→✗ | ▼ Worse | 79% | 0% |
| case-06 | ✓→✓ | = Same ✓ | 98% | 0% |
Use the form tool instead of hand-writing markup: the editor chat renders the form as an interactive card and returns the user's structured answer.
Call ask_followup_questions. It serializes your fields into the editor's native form card; the user's submission comes back as their next message.
Plan the whole questionnaire before calling the tool. Send one final form, not a trial form followed by a corrected form. The tool supports at most 12 fields; if the user asks for more questions, merge related prompts into combined fields before the first call.
After calling ask_followup_questions, stop the turn and wait for the submitted answer to appear in chat. Do not apply a choice, create assets, or continue planning from a recommendation until the user's selection is present in the conversation.
Build a fields array. Write every visible string in the user's conversation language.
<form-single> -> { type: "single", variant: "default" }<form-multi> -> { type: "multi", variant: "default" }<form-text> / <form-textarea> -> { type: "text" }<form-visual> -> { type: "single", variant: "visual" }{ type: "single", variant: "voice" }{ type: "single", variant: "scenario" }For form-level text (title, prompt, fields[].label, submitLabel, and messagePrefix), write like OpenChatCut is a capable video-making partner inviting the user to describe what they want, not like a rigid survey.
Aim for:
closest video need or just tell me your idea; we can figure it out together."
prompt and concisequestion labels.
not claim unsupported abilities or guarantee a result before inputs are known.
"Motion Graphics", "MG 动画", model/product names, and platform names in their established forms.
prefer natural terms such as idea, direction, plan, story, shot list, audience, mood, or video need over internal production-document language.
Avoid stiff labels such as "Select video type", "Please choose the video type for this project", or "What type of video do you want to make?" for scenario intake unless the host has no room for warmer copy.
For a scenario-intake form, prefer copy like:
json{ "title": "What do you want to make?", "prompt": "Choose the closest video scenario, or choose Something else and describe your idea.", "submitLabel": "Start creating", "messagePrefix": "I want to start with this video direction:", "fields": [ { "id": "scenario", "label": "Which scenario fits your video best?", "type": "single", "variant": "scenario", "otherPlaceholder": "For example: turn my travel footage into an atmospheric vlog / make a launch video for a new product" } ] }
Do not include file-upload questions in forms. If a task actually needs source media and the project/chat does not already have it, ask the user separately to upload files in the editor (drag & drop or the upload button, or paste into the chat composer). File upload is not a default prerequisite for every questionnaire; only ask for it when the next editing step depends on missing media.
For choice fields:
id for the internal value the next tool call needs.label for what the user sees.variant: "default"), keepoptions label-only. Do not add per-option description unless the user cannot distinguish the choices from labels alone.
description mainly for voice cards. Visual style cards should usuallyuse only preview + label.
id: "__other__" and a label in the same language as the rest of the form, using the word the user would expect for an off-list answer. The widget will turn this option into a text entry when selected. Use otherPlaceholder if the text entry needs a placeholder.
For visual cards:
preview.manage_design_style withaction: "list" first, then map each returned preset to { id: preset.presetId, label: preset.name } (no thumbnails in this build).
For voice cards:
audioUrl for the sample file./voice-samples/doubao-liuchang.mp3or a public HTTPS URL. Do not pass localhost sample URLs; MCP host iframes do not reliably resolve editor-local media.
way the native OpenChatCut audition UI does: gender / age range / tone / use case, such as Female / young / friendly, general or 男 / 中年 / 低沉知识解说. Do not show provider names like ElevenLabs or Doubao in option descriptions.
id equal to the provider voice id needed by submit_voice.For native start-scenario cards:
such as talking-head editing, MG animation, long-video-to-shorts, product/app promo, AI short film, or explainer video.
workflows. The form must also let the user describe a different video need.
variant: "scenario".user's language. Include id: "__other__" only when you need to customize the off-list label; otherwise the backend appends a localized Other option.
built in. For any other user language, faithfully translate each scenario's English label, description, and starter prompt into the user's language and pass those localized values in the option objects. Preserve OpenChatCut product terms and workflow meaning; do not add new requirements. Use submitPrompt for the translated starter prompt. This override is specific to variant: "scenario"; ordinary option cards, voice cards, and visual style cards already get their visible text from the values you pass.
preview or audioUrl; the backend fills the nativefirst-screen preview image.
talking-head, motion-graphics, long-video-to-shorts,app-promo, ai-cinematic-short-film, explainer, plus __other__ for a free-form video need.
{ "id": "talking-head", "label": "Talking Head Editing" }, { "id": "motion-graphics", "label": "Motion Graphics" }, { "id": "long-video-to-shorts", "label": "Long Video to Shorts" }, { "id": "app-promo", "label": "Product / App Promo" }, { "id": "ai-cinematic-short-film", "label": "AI Short Film" }, { "id": "explainer", "label": "Explainer Video" }, { "id": "__other__", "label": "Something else" }.
ask_followup_questions is for structured answers only. It does not support native custom HTML, timeline parameter bridges, editor item selection, or file upload fields. For files already held by the agent runtime or attached directly to the chat outside this card, the media-import workflow is still valid: call import_media and run the helper/direct upload path. For files the user wants to place directly in a project, ask them to use the OpenChatCut editor upload UI.
json{ "title": "Your video idea", "prompt": "Choose or fill in what you have in mind so OpenChatCut can pick a good starting direction.", "submitLabel": "Send idea", "messagePrefix": "Continue with this video direction:", "fields": [ { "id": "goal", "label": "What's the main goal of this video?", "type": "single", "options": [ { "id": "product_intro", "label": "Product intro" }, { "id": "social_ad", "label": "Social ad" }, { "id": "__other__", "label": "Something else" } ] }, { "id": "elements", "label": "What should it include? (Select all that apply)", "type": "multi", "options": [ { "id": "broll", "label": "B-roll" }, { "id": "logo", "label": "Brand logo" }, { "id": "__other__", "label": "Something else" } ] } ] }
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