@tinybirdco/ai

Tinybird utilities for your AI-based applications.

Installation

``bash
npm install @tinybirdco/ai


or

yarn add @tinybirdco/ai

or

pnpm add @tinybirdco/ai
`

Usage

Check out LLM Performance Tracker template to get started: https://github.com/tinybirdco/llm-performance-tracker

This package provides a wrapper for the AI SDK by Vercel that enables integration with Tinybird's analytics platform. Here's how to use it in your Next.js application:

$3

`typescript
import { createOpenAI } from "@ai-sdk/openai";
import { wrapModel } from "@tinybirdco/ai/ai-sdk";
import { streamText } from "ai";

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

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

const openai = createOpenAI({
apiKey: process.env.OPENAI_API_KEY,
});

const model = wrapModel(openai("chatgpt-4o-latest"), {
host: process.env.TINYBIRD_HOST!,
token: process.env.TINYBIRD_TOKEN!,
});

const result = streamText({
model: model,
messages,
});

return result.toDataStreamResponse();
}
`

$3

Make sure to set up the following environment variables in your .env file:

`env
OPENAI_API_KEY=your_openai_api_key
TINYBIRD_HOST=your_tinybird_host
TINYBIRD_TOKEN=your_tinybird_token
``

Features

- Seamless integration with Vercel AI SDK
- Streaming support for real-time responses
- Easy configuration with Tinybird's analytics platform
- TypeScript support out of the box

License

MIT