openai-streams v6.2.0

OpenAI Streams

Github | NPM | Docs

This library returns OpenAI API responses as streams only. Non-stream endpoints like edits etc. are simply a stream with only one chunk update.

It simplifies the following:

1. Prioritizing streaming and type inference.
2. Auto-loads OPENAI_API_KEY from process.env.
3. Uses the same function for all endpoints, and switches the type based on the OpenAI(endpoint, ...) signature.

Overall, the library aims to make it as simple to call the API as possible and stream updates in.

Installation

yarn add openai-streams

# or

npm i --save openai-streams

Usage

1. Set the OPENAI_API_KEY env variable (or pass the { apiKey } option).

   The library will throw if it cannot find an API key. Your program will load this at runtime from process.env.OPENAI_API_KEY by default, but you may override this with the { apiKey } option.

   IMPORTANT: For security, you should only load this from a process.env variable.

   await OpenAI(
     "completions", 
     {/* params */}, 
     { apiKey: process.env.MY_SECRET_API_KEY }
   )

2. Call the API via await OpenAI(endpoint, params).

   The params type will be inferred based on the endpoint you provide, i.e. for the "edits" endpoint, import('openai').CreateEditRequest will be enforced.

Example: Consuming streams in Next.js Edge functions

import { OpenAI } from "openai-streams";

export default async function handler() {
  const stream = await OpenAI(
    "completions",
    {
      model: "text-davinci-003",
      prompt: "Write a sentence.\n\n",
      max_tokens: 100
    },
  );

  return new Response(stream);
}

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

See the example in example/src/pages/api/hello.ts. See also src/pages/api/demo.ts in nextjs-openai.

Notes

1. Internally, streams are often manipulated using generators via for await (const chunk of yieldStream(stream)) { ... }. We recommend following this pattern if you find it intuitive.