OpenAI Edge

A TypeScript module for querying OpenAI's API from an edge function environment i.e. using fetch (a standard Web API) instead of axios.

Edge functions are very fast and, unlike lambda functions, allow streaming data to the client.

Installation

yarn add openai-edge

npm install openai-edge

Methods

This module offers a subset of the methods available in the official Node package. The syntax and types are essentially the same but the methods return the standard Fetch Promise<Response>.

createChatCompletion
createCompletion
createEmbedding
createImage
createModeration

Examples

Here are some sample Next.js Edge API Routes using openai-edge.

1. Streaming chat with `gpt-3.5-turbo`

Note that when using the stream: true option, OpenAI responds with server-sent events. Here's an example react hook to consume SSEs and here's a full NextJS example.

import type { NextRequest } from "next/server"
import { Configuration, OpenAIApi } from "openai-edge"

const configuration = new Configuration({
  apiKey: process.env.OPENAI_API_KEY,
})
const openai = new OpenAIApi(configuration)

const handler = async (req: NextRequest) => {
  const { searchParams } = new URL(req.url)

  try {
    const completion = await openai.createChatCompletion({
      model: "gpt-3.5-turbo",
      messages: [
        { role: "system", content: "You are a helpful assistant." },
        { role: "user", content: "Who won the world series in 2020?" },
        {
          role: "assistant",
          content: "The Los Angeles Dodgers won the World Series in 2020.",
        },
        { role: "user", content: "Where was it played?" },
      ],
      max_tokens: 7,
      temperature: 0,
      stream: true,
    })

    return new Response(completion.body, {
      headers: {
        "Access-Control-Allow-Origin": "*",
        "Content-Type": "text/event-stream;charset=utf-8",
        "Cache-Control": "no-cache, no-transform",
        "X-Accel-Buffering": "no",
      },
    })
  } catch (error: any) {
    console.error(error)

    return new Response(JSON.stringify(error), {
      status: 400,
      headers: {
        "content-type": "application/json",
      },
    })
  }
}

export const config = {
  runtime: "edge",
}

export default handler

2. Text completion with Davinci

import type { NextRequest } from "next/server"
import { Configuration, OpenAIApi } from "openai-edge"

const configuration = new Configuration({
  apiKey: process.env.OPENAI_API_KEY,
})
const openai = new OpenAIApi(configuration)

const handler = async (req: NextRequest) => {
  const { searchParams } = new URL(req.url)

  try {
    const completion = await openai.createCompletion({
      model: "text-davinci-003",
      prompt: searchParams.get("prompt") ?? "Say this is a test",
      max_tokens: 7,
      temperature: 0,
      stream: false,
    })

    const data = await completion.json()

    return new Response(JSON.stringify(data), {
      status: 200,
      headers: {
        "content-type": "application/json",
      },
    })
  } catch (error: any) {
    console.error(error)

    return new Response(JSON.stringify(error), {
      status: 400,
      headers: {
        "content-type": "application/json",
      },
    })
  }
}

export const config = {
  runtime: "edge",
}

export default handler

3. Creating an Image with DALL·E

import type { NextRequest } from "next/server"
import { Configuration, OpenAIApi } from "openai-edge"

const configuration = new Configuration({
  apiKey: process.env.OPENAI_API_KEY,
})
const openai = new OpenAIApi(configuration)

const handler = async (req: NextRequest) => {
  const { searchParams } = new URL(req.url)

  try {
    const image = await openai.createImage({
      prompt: searchParams.get("prompt") ?? "A cute baby sea otter",
      n: 1,
      size: "512x512",
      response_format: "url",
    })

    const json = await image.json()
    const url = json?.data?.[0]?.url

    return new Response(JSON.stringify({ url }), {
      status: 200,
      headers: {
        "content-type": "application/json",
      },
    })
  } catch (error: any) {
    console.error(error)

    return new Response(JSON.stringify(error), {
      status: 400,
      headers: {
        "content-type": "application/json",
      },
    })
  }
}

export const config = {
  runtime: "edge",
}

export default handler

azomland/openai-edge