Files
temetro/.agents/skills/ai-elements/references/sources.md
T
Khalid Abdi 929bec8f31 feat: AI-added records save with placeholders + "Added by AI" provenance
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>
2026-06-14 19:27:17 +03:00

6.2 KiB

Sources

A component that allows a user to view the sources or citations used to generate a response.

The Sources component allows a user to view the sources or citations used to generate a response.

See scripts/sources.tsx for this example.

Installation

npx ai-elements@latest add sources

Usage with AI SDK

Build a simple web search agent with Perplexity Sonar.

Add the following component to your frontend:

"use client";

import { useChat } from "@ai-sdk/react";
import {
  Source,
  Sources,
  SourcesContent,
  SourcesTrigger,
} from "@/components/ai-elements/sources";
import {
  PromptInput,
  type PromptInputMessage,
  PromptInputTextarea,
  PromptInputSubmit,
} from "@/components/ai-elements/prompt-input";
import {
  Conversation,
  ConversationContent,
  ConversationScrollButton,
} from "@/components/ai-elements/conversation";
import {
  Message,
  MessageContent,
  MessageResponse,
} from "@/components/ai-elements/message";
import { useState } from "react";
import { DefaultChatTransport } from "ai";

const SourceDemo = () => {
  const [input, setInput] = useState("");
  const { messages, sendMessage, status } = useChat({
    transport: new DefaultChatTransport({
      api: "/api/sources",
    }),
  });

  const handleSubmit = (message: PromptInputMessage) => {
    if (message.text.trim()) {
      sendMessage({ text: message.text });
      setInput("");
    }
  };

  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">
        <div className="flex-1 overflow-auto mb-4">
          <Conversation>
            <ConversationContent>
              {messages.map((message) => (
                <div key={message.id}>
                  {message.role === "assistant" && (
                    <Sources>
                      <SourcesTrigger
                        count={
                          message.parts.filter(
                            (part) => part.type === "source-url"
                          ).length
                        }
                      />
                      {message.parts.map((part, i) => {
                        switch (part.type) {
                          case "source-url":
                            return (
                              <SourcesContent key={`${message.id}-${i}`}>
                                <Source
                                  key={`${message.id}-${i}`}
                                  href={part.url}
                                  title={part.url}
                                />
                              </SourcesContent>
                            );
                        }
                      })}
                    </Sources>
                  )}
                  <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>
                </div>
              ))}
            </ConversationContent>
            <ConversationScrollButton />
          </Conversation>
        </div>

        <PromptInput
          onSubmit={handleSubmit}
          className="mt-4 w-full max-w-2xl mx-auto relative"
        >
          <PromptInputTextarea
            value={input}
            placeholder="Ask a question and search the..."
            onChange={(e) => setInput(e.currentTarget.value)}
            className="pr-12"
          />
          <PromptInputSubmit
            status={status === "streaming" ? "streaming" : "ready"}
            disabled={!input.trim()}
            className="absolute bottom-1 right-1"
          />
        </PromptInput>
      </div>
    </div>
  );
};

export default SourceDemo;

Add the following route to your backend:

import { convertToModelMessages, streamText, UIMessage } from "ai";
import { perplexity } from "@ai-sdk/perplexity";

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

export async function POST(req: Request) {
  const { messages }: { messages: UIMessage[] } = await req.json();

  const result = streamText({
    model: "perplexity/sonar",
    system:
      "You are a helpful assistant. Keep your responses short (< 100 words) unless you are asked for more details. ALWAYS USE SEARCH.",
    messages: await convertToModelMessages(messages),
  });

  return result.toUIMessageStreamResponse({
    sendSources: true,
  });
}

Features

  • Collapsible component that allows a user to view the sources or citations used to generate a response
  • Customizable trigger and content components
  • Support for custom sources or citations
  • Responsive design with mobile-friendly controls
  • Clean, modern styling with customizable themes

Examples

Custom rendering

See scripts/sources-custom.tsx for this example.

Props

<Sources />

Prop Type Default Description
...props React.HTMLAttributes<HTMLDivElement> - Any other props are spread to the root div.

<SourcesTrigger />

Prop Type Default Description
count number Required The number of sources to display in the trigger.
...props React.ComponentProps<typeof CollapsibleTrigger> - Any other props are spread to the CollapsibleTrigger component.

<SourcesContent />

Prop Type Default Description
...props React.HTMLAttributes<HTMLDivElement> - Any other props are spread to the content container.

<Source />

Prop Type Default Description
...props React.AnchorHTMLAttributes<HTMLAnchorElement> - Any other props are spread to the anchor element.