Svelte 5 + AI SDK Integration Guide
Goal: Integrate Svelte AI Elements with Vercel AI SDK to build a streaming AI chat interface using OpenRouter models and shadcn-svelte
Project Setup
Create a new SvelteKit project with Tailwind CSS support:
When prompted, select:
- Which template? → SvelteKit minimal
- Add type checking? → Yes, using TypeScript
- Add additional options? → Add Tailwind CSS
UI Setup with shadcn-svelte
Install and configure shadcn-svelte for beautiful, accessible UI components:
This will create a lib/components/ui directory with pre-built components that integrate seamlessly with Tailwind CSS.
Follow the prompts to configure components.json:
AI SDK Integration & OpenRouter Setup
Install the Vercel AI SDK and set up OpenRouter for accessing AI models:
Create a .env.local file:
Note: Sign up at OpenRouter to get your free API key. OpenRouter provides access to multiple AI models through a single API.
Text Streaming Configuration
Configure streamText and UIMessage[] to handle real-time AI responses:
This configuration allows your app to stream AI responses in real-time, providing a smooth user experience similar to ChatGPT's interface.
File Structure & Backend API
Create the backend API endpoint in src/routes/api/chat/+server.ts:
This server endpoint handles incoming chat messages and streams AI responses back to the frontend using the AI SDK's streaming capabilities.
Frontend Chat Interface
Build the chat interface in src/routes/+page.svelte using AI SDK's Svelte integration:
The Chat class from AI SDK automatically handles message state, streaming, and form submission, making it incredibly easy to build chat interfaces.
For more details, refer to the official Vercel AI SDK Svelte documentation.
Add Actions, Message, Prompt Input Component
Enhance your chat interface with actions, messages, and a prompt input from Svelte AI Elements:
🎉 You're all set!
Your AI-powered Svelte app is ready with streaming responses and beautiful UI.
Free AI Models for Testing
Experiment with these free models from OpenRouter while building and testing your applications. Perfect for development and prototyping.
Fast & Efficient
Perfect for rapid prototyping and development
Specialized
Optimized for specific use cases
- Code-focused
- Long context
Additional Resources
Essential Links
Key resources to enhance your AI development journey
I hope this guide was helpful!
Found any issues or have questions? Feel free to reach out to me: @Sikandar_Bhide (Bhide Svelte)