Prompt Input

Allows a user to send a message with file attachments to a large language model. It includes a textarea, file upload capabilities, a submit button, and a dropdown for selecting the model.

The PromptInput component allows a user to send a message with file attachments to a large language model. It includes a textarea, file upload capabilities, a submit button, and a dropdown for selecting the model.

See scripts/prompt-input.tsx for this example.

npx ai-elements@latest add prompt-input

Build a fully functional chat app using PromptInput, Conversation with a model picker:

Add the following component to your frontend:

Create val
"use client";

import {
  Attachment,
  AttachmentPreview,
  AttachmentRemove,
  Attachments,
} from "@/components/ai-elements/attachments";
import {
  PromptInput,
  PromptInputActionAddAttachments,
  PromptInputActionMenu,
  PromptInputActionMenuContent,
  PromptInputActionMenuTrigger,
  PromptInputBody,
  PromptInputButton,
  PromptInputFooter,
  PromptInputHeader,
  type PromptInputMessage,
  PromptInputSelect,
  PromptInputSelectContent,
  PromptInputSelectItem,
  PromptInputSelectTrigger,
  PromptInputSelectValue,
  PromptInputSubmit,
  PromptInputTextarea,
  PromptInputTools,
  usePromptInputAttachments,
} from "@/components/ai-elements/prompt-input";
import { GlobeIcon } from "lucide-react";
import { useState } from "react";
import { useChat } from "@ai-sdk/react";
import {
  Conversation,
  ConversationContent,
  ConversationScrollButton,
} from "@/components/ai-elements/conversation";
import {
  Message,
  MessageContent,
  MessageResponse,
} from "@/components/ai-elements/message";

const PromptInputAttachmentsDisplay = () => {
  const attachments = usePromptInputAttachments();

  if (attachments.files.length === 0) {
    return null;
  }

  return (
    <Attachments variant="inline">
      {attachments.files.map((attachment) => (
        <Attachment
          data={attachment}
          key={attachment.id}
          onRemove={() => attachments.remove(attachment.id)}
        >
          <AttachmentPreview />
          <AttachmentRemove />
        </Attachment>
      ))}
    </Attachments>
  );
};

const models = [
  { id: "gpt-4o", name: "GPT-4o" },
  { id: "claude-opus-4-20250514", name: "Claude 4 Opus" },
];

const InputDemo = () => {
  const [text, setText] = useState<string>("");
  const [model, setModel] = useState<string>(models[0].id);
  const [useWebSearch, setUseWebSearch] = useState<boolean>(false);

  const { messages, status, sendMessage } = useChat();

  const handleSubmit = (message: PromptInputMessage) => {
    const hasText = Boolean(message.text);
    const hasAttachments = Boolean(message.files?.length);

    if (!(hasText || hasAttachments)) {
      return;
    }

    sendMessage(
      {
        text: message.text || "Sent with attachments",
        files: message.files,
      },
      {
        body: {
          model: model,
          webSearch: useWebSearch,
        },
      },
    );
    setText("");
  };

  return (
    <div className="max-w-4xl mx-auto p-6 relative size-full rounded-lg border h-[600px]">
      <div className="flex flex-col h-full">
        <Conversation>
          <ConversationContent>
            {messages.map((message) => (
              <Message from={message.role} key={message.id}>
                <MessageContent>
                  {message.parts.map((part, i) => {
                    switch (part.type) {
                      case "text":
                        return (
                          <MessageResponse key={`${message.id}-${i}`}>
                            {part.text}
                          </MessageResponse>
                        );
                      default:
                        return null;
                    }
                  })}
                </MessageContent>
              </Message>
            ))}
          </ConversationContent>
          <ConversationScrollButton />
        </Conversation>

        <PromptInput
          onSubmit={handleSubmit}
          className="mt-4"
          globalDrop
          multiple
        >
          <PromptInputHeader>
            <PromptInputAttachmentsDisplay />
          </PromptInputHeader>
          <PromptInputBody>
            <PromptInputTextarea
              onChange={(e) => setText(e.target.value)}
              value={text}
            />
          </PromptInputBody>
          <PromptInputFooter>
            <PromptInputTools>
              <PromptInputActionMenu>
                <PromptInputActionMenuTrigger />
                <PromptInputActionMenuContent>
                  <PromptInputActionAddAttachments />
                </PromptInputActionMenuContent>
              </PromptInputActionMenu>
              <PromptInputButton
                onClick={() => setUseWebSearch(!useWebSearch)}
                tooltip={{ content: "Search the web", shortcut: "⌘K" }}
                variant={useWebSearch ? "default" : "ghost"}
              >
                <GlobeIcon size={16} />
                <span>Search</span>
              </PromptInputButton>
              <PromptInputSelect
                onValueChange={(value) => {
                  setModel(value);
                }}
                value={model}
              >
                <PromptInputSelectTrigger>
                  <PromptInputSelectValue />
                </PromptInputSelectTrigger>
                <PromptInputSelectContent>
                  {models.map((model) => (
                    <PromptInputSelectItem key={model.id} value={model.id}>
                      {model.name}
                    </PromptInputSelectItem>
                  ))}
                </PromptInputSelectContent>
              </PromptInputSelect>
            </PromptInputTools>
            <PromptInputSubmit disabled={!text && !status} status={status} />
          </PromptInputFooter>
        </PromptInput>
      </div>
    </div>
  );
};

export default InputDemo;

Add the following route to your backend:

Create val
import { convertToModelMessages, streamText, UIMessage } from "ai";

// Allow streaming responses up to 30 seconds
export const maxDuration = 30;

export async function POST(req: Request) {
  const {
    model,
    messages,
    webSearch,
  }: {
    messages: UIMessage[];
    model: string;
    webSearch?: boolean;
  } = await req.json();

  const result = streamText({
    model: webSearch ? "perplexity/sonar" : model,
    messages: await convertToModelMessages(messages),
  });

  return result.toUIMessageStreamResponse();
}

• Auto-resizing textarea that adjusts height based on content
• File attachment support with drag-and-drop
• Image preview for image attachments
• Configurable file constraints (max files, max size, accepted types)
• Automatic submit button icons based on status
• Support for keyboard shortcuts (Enter to submit, Shift+Enter for new line)
• Customizable min/max height for the textarea
• Flexible toolbar with support for custom actions and tools
• Built-in model selection dropdown
• Built-in native speech recognition button (Web Speech API)
• Optional provider for lifted state management
• Form automatically resets on submit
• Responsive design with mobile-friendly controls
• Clean, modern styling with customizable themes
• Form-based submission handling
• Hidden file input sync for native form posts
• Global document drop support (opt-in)

See scripts/prompt-input-cursor.tsx for this example.

Buttons can display tooltips with optional keyboard shortcut hints. Hover over the buttons below to see the tooltips.

See scripts/prompt-input-tooltip.tsx for this example.

Create val
// Simple string tooltip
<PromptInputButton tooltip="Search the web">
  <GlobeIcon size={16} />
</PromptInputButton>

// Tooltip with keyboard shortcut hint
<PromptInputButton tooltip={{ content: "Search", shortcut: "⌘K" }}>
  <GlobeIcon size={16} />
</PromptInputButton>

// Tooltip with custom position
<PromptInputButton tooltip={{ content: "Search", side: "bottom" }}>
  <GlobeIcon size={16} />
</PromptInputButton>

Attachment components have been moved to a separate module. See the Attachment component documentation for details on <Attachments />, <Attachment />, <AttachmentPreview />, <AttachmentInfo />, and <AttachmentRemove />.

Optional global provider that lifts PromptInput state outside of PromptInput. When used, it allows you to access and control the input state from anywhere within the provider tree. If not used, PromptInput stays fully self-managed.

Access and manage file attachments within a PromptInput context.

Create val
const attachments = usePromptInputAttachments();

// Available methods:
attachments.files; // Array of current attachments
attachments.add(files); // Add new files
attachments.remove(id); // Remove an attachment by ID
attachments.clear(); // Clear all attachments
attachments.openFileDialog(); // Open file selection dialog

Access the full PromptInput controller from a PromptInputProvider. Only available when using the provider.

Create val
const controller = usePromptInputController();

// Available methods:
controller.textInput.value; // Current text input value
controller.textInput.setInput(value); // Set text input value
controller.textInput.clear(); // Clear text input
controller.attachments; // Same as usePromptInputAttachments

Access attachments context from a PromptInputProvider. Only available when using the provider.

Create val
const attachments = useProviderAttachments();

// Same interface as usePromptInputAttachments

Access referenced sources context within a PromptInput.

Create val
const sources = usePromptInputReferencedSources();

// Available methods:
sources.sources; // Array of current referenced sources
sources.add(sources); // Add new source(s)
sources.remove(id); // Remove a source by ID
sources.clear(); // Clear all sources