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
or
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>
.
openai.createCompletion
openai.createImage
(since v0.2.0
)
Examples
Here are some sample
Next.js Edge API Routes
using openai-edge
.
1. Streaming text completion with Davinci
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.createCompletion({
model: "text-davinci-003",
prompt: searchParams.get("prompt") ?? "Say this is a test",
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. 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