Using Bun 1.0 for Serving APIs with Vercel AI SDK and OpenAI

Just a few days ago, the much-anticipated Bun 1.0 was launched, bringing a fresh perspective to the world of JavaScript. This new Javascript runtime and toolkit, etc. promises the fastest execution times and better developer experience.

Although I come from a backend development background and wouldn’t consider myself a seasoned JavaScript expert, I’ve always had an interest in exploring the various tools and frameworks. So, when Bun 1.0 made its debut a few days ago, I felt compelled to dive in and see what it had to offer, especially given that this realm is somewhat new to me.

Since I am playing around with OpenAI, I created a simple API using Bun and the Vercel AI SDK. The API serves chat completion requests from the chat web application I built using NextJS 13 and shadcn/ui.

It was really nice since it supports streaming out of the box! Since I already implemented the API in Next13, it was pretty straightforward to port the code to Bun.

const response = await openai.chat.completions.create({
                    model: 'gpt-3.5-turbo',
                    messages,
                    stream: true,
                });

// Assuming OpenAIStream is a function that processes the response for streaming - not working yet
const stream = OpenAIStream(response);

// Return the streaming response - not working yet
return new StreamingTextResponse(stream,
    { headers: corsResponseHeaders });

Here’s a demo of the Chat application I built. The API being consumed by the web application in the left is the one created using Bun.

Here's the full source code of the API I built using Bun and Vercel AI SDK.

import OpenAI from 'openai';
import { OpenAIStream, StreamingTextResponse } from 'ai';

const openai = new OpenAI({ apiKey: Bun.env.OPENAI_API_KEY });

const corsResponseHeaders = {
    "Access-Control-Allow-Origin": "*",
    "Access-Control-Allow-Methods": "POST, GET, OPTIONS",
    "Access-Control-Allow-Headers": "X-PINGOTHER, Content-Type",
    "Access-Control-Max-Age": "86400"
}

const server = Bun.serve({
    port: 3001,
    async fetch(req) {
        if (req.method === 'POST') {
            try {

                const { messages } = await req.json();

                const response = await openai.chat.completions.create({
                    model: 'gpt-3.5-turbo',
                    messages,
                    stream: true,
                });

                // Assuming OpenAIStream is a function that processes the response for streaming - not working yet
                const stream = OpenAIStream(response);

                // Return the streaming response - not working yet
                return new StreamingTextResponse(stream,
                    { headers: corsResponseHeaders });               

            } catch (error) {
                console.log("Error: ", error);
                // Return an error response
                return new Response("Internal Server Error",
                    {
                        status: 500,
                        headers: corsResponseHeaders
                    },

                );
            }
        } else {
            // Handle other request methods or return a default response
            return new Response("Not Found", { status: 404,
                headers: corsResponseHeaders });
        }
    },
});

console.log(`Listening on localhost: ${server.port}`);

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[reposted from] https://techblogs.donvitocodes.com/using-bun-1-0-for-serving-apis-with-vercel-ai-sdk-and-openai-e6d01fedd2ca

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Using Bun 1.0 for Serving APIs with Vercel AI SDK and OpenAI

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