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929bec8f31
Stop blocking AI imports/proposals on missing non-critical fields. Records the chat agent drafts now save with safe placeholders, auto-generated file numbers, and a source="ai" marker that surfaces an "Added by AI" badge so a clinician can review/edit them later. Backend: - add `source` (manual|ai) column to patients/appointments/prescriptions (migration 0014) + canonical types, services, validation schemas - relax patient/appointment validation: empty file number allowed, demographic + type/provider/initials fall back to placeholders (initials derived from name) - patients.generateFileNumber() auto-assigns an MRN when one is missing - proposeAppointment accepts a name when no file number resolves; AI commits + /api/ai/import stamp source="ai" Frontend: - `source` on Appointment/Patient/Prescription types; AI commits send source="ai" - reusable <AiBadge> shown on the Patients table/detail and prescriptions list Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
225 lines
7.4 KiB
Markdown
225 lines
7.4 KiB
Markdown
# Conversation
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Wraps messages and automatically scrolls to the bottom. Also includes a scroll button that appears when not at the bottom.
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The `Conversation` component wraps messages and automatically scrolls to the bottom. Also includes a scroll button that appears when not at the bottom.
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<Preview path="conversation" className="p-0" />
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## Installation
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```bash
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npx ai-elements@latest add conversation
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```
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## Usage with AI SDK
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Build a simple conversational UI with `Conversation` and [`PromptInput`](/components/prompt-input):
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Add the following component to your frontend:
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```tsx title="app/page.tsx"
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"use client";
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import {
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Conversation,
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ConversationContent,
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ConversationDownload,
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ConversationEmptyState,
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ConversationScrollButton,
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} from "@/components/ai-elements/conversation";
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import {
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Message,
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MessageContent,
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MessageResponse,
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} from "@/components/ai-elements/message";
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import {
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PromptInput,
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type PromptInputMessage,
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PromptInputTextarea,
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PromptInputSubmit,
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} from "@/components/ai-elements/prompt-input";
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import { MessageSquare } from "lucide-react";
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import { useState } from "react";
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import { useChat } from "@ai-sdk/react";
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const ConversationDemo = () => {
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const [input, setInput] = useState("");
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const { messages, sendMessage, status } = useChat();
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const handleSubmit = (message: PromptInputMessage) => {
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if (message.text.trim()) {
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sendMessage({ text: message.text });
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setInput("");
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}
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};
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return (
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<div className="max-w-4xl mx-auto p-6 relative size-full rounded-lg border h-[600px]">
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<div className="flex flex-col h-full">
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<Conversation>
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<ConversationContent>
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{messages.length === 0 ? (
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<ConversationEmptyState
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icon={<MessageSquare className="size-12" />}
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title="Start a conversation"
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description="Type a message below to begin chatting"
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/>
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) : (
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messages.map((message) => (
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<Message from={message.role} key={message.id}>
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<MessageContent>
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{message.parts.map((part, i) => {
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switch (part.type) {
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case "text": // we don't use any reasoning or tool calls in this example
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return (
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<MessageResponse key={`${message.id}-${i}`}>
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{part.text}
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</MessageResponse>
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);
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default:
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return null;
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}
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})}
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</MessageContent>
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</Message>
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))
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)}
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</ConversationContent>
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<ConversationDownload messages={messages} />
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<ConversationScrollButton />
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</Conversation>
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<PromptInput
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onSubmit={handleSubmit}
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className="mt-4 w-full max-w-2xl mx-auto relative"
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>
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<PromptInputTextarea
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value={input}
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placeholder="Say something..."
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onChange={(e) => setInput(e.currentTarget.value)}
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className="pr-12"
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/>
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<PromptInputSubmit
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status={status === "streaming" ? "streaming" : "ready"}
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disabled={!input.trim()}
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className="absolute bottom-1 right-1"
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/>
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</PromptInput>
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</div>
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</div>
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);
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};
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export default ConversationDemo;
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```
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Add the following route to your backend:
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```tsx title="api/chat/route.ts"
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import { streamText, UIMessage, convertToModelMessages } from "ai";
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// Allow streaming responses up to 30 seconds
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export const maxDuration = 30;
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export async function POST(req: Request) {
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const { messages }: { messages: UIMessage[] } = await req.json();
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const result = streamText({
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model: "openai/gpt-4o",
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messages: await convertToModelMessages(messages),
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});
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return result.toUIMessageStreamResponse();
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}
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```
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## Features
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- Automatic scrolling to the bottom when new messages are added
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- Smooth scrolling behavior with configurable animation
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- Scroll button that appears when not at the bottom
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- Download conversation as Markdown
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- Responsive design with customizable padding and spacing
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- Flexible content layout with consistent message spacing
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- Accessible with proper ARIA roles for screen readers
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- Customizable styling through className prop
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- Support for any number of child message components
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## Props
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### `<Conversation />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `contextRef` | `React.Ref<StickToBottomContext>` | - | Optional ref to access the StickToBottom context object. |
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| `instance` | `StickToBottomInstance` | - | Optional instance for controlling the StickToBottom component. |
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| `children` | `((context: StickToBottomContext) => ReactNode) | ReactNode` | - | Render prop or ReactNode for custom rendering with context. |
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| `...props` | `Omit<React.HTMLAttributes<HTMLDivElement>, ` | - | Any other props are spread to the root div. |
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### `<ConversationContent />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `children` | `((context: StickToBottomContext) => ReactNode) | ReactNode` | - | Render prop or ReactNode for custom rendering with context. |
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| `...props` | `Omit<React.HTMLAttributes<HTMLDivElement>, ` | - | Any other props are spread to the root div. |
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### `<ConversationEmptyState />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `title` | `string` | - | The title text to display. |
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| `description` | `string` | - | The description text to display. |
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| `icon` | `React.ReactNode` | - | Optional icon to display above the text. |
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| `children` | `React.ReactNode` | - | Optional additional content to render below the text. |
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| `...props` | `ComponentProps<` | - | Any other props are spread to the root div. |
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### `<ConversationScrollButton />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `...props` | `ComponentProps<typeof Button>` | - | Any other props are spread to the underlying shadcn/ui Button component. |
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### `<ConversationDownload />`
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A button that downloads the conversation as a Markdown file.
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```tsx
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import { ConversationDownload } from "@/components/ai-elements/conversation";
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<Conversation>
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<ConversationContent>
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{messages.map(...)}
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</ConversationContent>
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<ConversationDownload messages={messages} />
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<ConversationScrollButton />
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</Conversation>
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```
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `messages` | `UIMessage[]` | Required | Array of messages to include in the download. |
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| `filename` | `string` | - | The filename for the downloaded file. |
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| `formatMessage` | `(message: UIMessage, index: number) => string` | - | Custom function to format each message in the output. |
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| `...props` | `Omit<ComponentProps<typeof Button>, ` | - | Any other props are spread to the underlying shadcn/ui Button component. |
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### `messagesToMarkdown`
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A utility function to convert messages to Markdown format. Useful for custom download implementations.
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```tsx
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import { messagesToMarkdown } from "@/components/ai-elements/conversation";
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const markdown = messagesToMarkdown(messages);
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// With custom formatter
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const customMarkdown = messagesToMarkdown(
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messages,
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(msg, i) =>
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`[${msg.role}]: ${msg.parts
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.filter((p) => p.type === "text")
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.map((p) => p.text)
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.join("")}`
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);
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```
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