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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>
210 lines
6.2 KiB
Markdown
210 lines
6.2 KiB
Markdown
# Sources
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A component that allows a user to view the sources or citations used to generate a response.
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The `Sources` component allows a user to view the sources or citations used to generate a response.
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See `scripts/sources.tsx` for this example.
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## Installation
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```bash
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npx ai-elements@latest add sources
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```
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## Usage with AI SDK
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Build a simple web search agent with Perplexity Sonar.
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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 { useChat } from "@ai-sdk/react";
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import {
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Source,
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Sources,
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SourcesContent,
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SourcesTrigger,
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} from "@/components/ai-elements/sources";
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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 {
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Conversation,
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ConversationContent,
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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 { useState } from "react";
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import { DefaultChatTransport } from "ai";
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const SourceDemo = () => {
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const [input, setInput] = useState("");
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const { messages, sendMessage, status } = useChat({
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transport: new DefaultChatTransport({
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api: "/api/sources",
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}),
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});
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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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<div className="flex-1 overflow-auto mb-4">
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<Conversation>
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<ConversationContent>
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{messages.map((message) => (
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<div key={message.id}>
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{message.role === "assistant" && (
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<Sources>
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<SourcesTrigger
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count={
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message.parts.filter(
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(part) => part.type === "source-url"
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).length
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}
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/>
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{message.parts.map((part, i) => {
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switch (part.type) {
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case "source-url":
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return (
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<SourcesContent key={`${message.id}-${i}`}>
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<Source
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key={`${message.id}-${i}`}
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href={part.url}
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title={part.url}
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/>
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</SourcesContent>
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);
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}
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})}
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</Sources>
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)}
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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":
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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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</div>
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))}
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</ConversationContent>
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<ConversationScrollButton />
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</Conversation>
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</div>
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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="Ask a question and search the..."
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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 SourceDemo;
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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 { convertToModelMessages, streamText, UIMessage } from "ai";
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import { perplexity } from "@ai-sdk/perplexity";
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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: "perplexity/sonar",
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system:
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"You are a helpful assistant. Keep your responses short (< 100 words) unless you are asked for more details. ALWAYS USE SEARCH.",
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messages: await convertToModelMessages(messages),
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});
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return result.toUIMessageStreamResponse({
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sendSources: true,
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});
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}
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```
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## Features
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- Collapsible component that allows a user to view the sources or citations used to generate a response
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- Customizable trigger and content components
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- Support for custom sources or citations
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- Responsive design with mobile-friendly controls
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- Clean, modern styling with customizable themes
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## Examples
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### Custom rendering
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See `scripts/sources-custom.tsx` for this example.
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## Props
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### `<Sources />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `...props` | `React.HTMLAttributes<HTMLDivElement>` | - | Any other props are spread to the root div. |
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### `<SourcesTrigger />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `count` | `number` | Required | The number of sources to display in the trigger. |
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| `...props` | `React.ComponentProps<typeof CollapsibleTrigger>` | - | Any other props are spread to the CollapsibleTrigger component. |
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### `<SourcesContent />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `...props` | `React.HTMLAttributes<HTMLDivElement>` | - | Any other props are spread to the content container. |
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### `<Source />`
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `...props` | `React.AnchorHTMLAttributes<HTMLAnchorElement>` | - | Any other props are spread to the anchor element. |
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