Building Your First Agentic UI
Building Your First Agentic UI
Creating an agentic UI might sound complex, but with AUIF, it's surprisingly straightforward. In this guide, we'll walk through building your first intelligent interface from scratch.
What You'll Build
We'll create a simple booking interface that combines traditional UI components with natural language processing. Users will be able to either:
- Use traditional form inputs and buttons
- Describe their needs in natural language
- Switch between both modes seamlessly
Prerequisites
Before we start, make sure you have:
- Node.js 18+ installed
- Basic knowledge of React
- An OpenAI API key (or compatible provider)
Step 1: Installation
First, install AUIF in your project:
npm install @auif/core @auif/react
Step 2: Set Up Your First Flow
Create a new file called booking-flow.ts and define your conversation flow using Glow (Graph Flow):
export const bookingFlow = {
start: {
message: "Hi! I can help you book a table. What day would you like to visit?",
actions: ["selectDate", "processNaturalLanguage"]
},
// ... more nodes
};
Step 3: Create the UI Component
Now let's create a React component that uses this flow:
import { AUIFProvider, ChatInterface } from '@auif/react';
export default function BookingInterface() {
return (
<AUIFProvider flow={bookingFlow}>
<ChatInterface />
</AUIFProvider>
);
}
Step 4: Add Traditional UI Components
The magic of AUIF is that you can mix AI chat with traditional UI:
<AUIFProvider flow={bookingFlow}>
<div className="booking-container">
<DatePicker onSelect={handleDateSelect} />
<ChatInterface />
</div>
</AUIFProvider>
Best Practices
Here are some tips for building effective agentic UIs:
- Start with the happy path - Define the ideal conversation flow first
- Add fallbacks - Handle edge cases gracefully
- Test both modes - Ensure both UI and chat work independently
- Use pre-cached responses - Speed up common queries
Next Steps
Now that you've built your first agentic UI, here are some things to explore:
- Add more complex conversation branches
- Implement RAG for context-aware responses
- Set up pre-cached responses for common queries
- Create custom UI components that integrate with the chat
Resources
Happy building! 🚀