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  • License Apache-2.0

Client library for the OpenAI API

Package Exports

  • openai
  • openai/dist/cjs/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (openai) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

OpenAI Node API Library

NPM version

The OpenAI Node library provides convenient access to the OpenAI REST API from applications written in server-side JavaScript. It includes TypeScript definitions for all request params and response fields.

⚠️ Important note: this library is meant for server-side usage only, as using it in client-side browser code will expose your secret API key. See here for more details.

Documentation

To learn how to use the OpenAI API, check out our API Reference and Documentation.

Installation

npm install --save openai
# or
yarn add openai

Usage

import OpenAI from 'openai';

const openAI = new OpenAI({
  apiKey: 'my api key', // defaults to process.env["OPENAI_API_KEY"]
});

async function main() {
  const completion = await openAI.completions.create({
    model: 'text-davinci-002',
    prompt: 'Say this is a test',
    max_tokens: 6,
    temperature: 0,
  });

  console.log(completion.choices);
}
main().catch(console.error);

Streaming Responses

We provide support for streaming responses using Server Side Events (SSE).

import OpenAI from 'openai';

const client = new OpenAI();

const stream = await client.completions.create({
  prompt: 'Say this is a test',
  model: 'text-davinci-003',
  stream: true,
});
for await (const part of stream) {
  process.stdout.write(part.choices[0]?.text || '');
}

If you need to cancel a stream, you can break from the loop or call stream.controller.abort().

Usage with TypeScript

Importing, instantiating, and interacting with the library are the same as above. If you like, you may reference our types directly:

import OpenAI from 'openai';

const openAI = new OpenAI({
  apiKey: 'my api key', // defaults to process.env["OPENAI_API_KEY"]
});

async function main() {
  const params: OpenAI.CompletionCreateParams = {
    model: 'text-davinci-002',
    prompt: 'Say this is a test',
    max_tokens: 6,
    temperature: 0,
  };
  const completion: OpenAI.Completion = await openAI.completions.create(params);
}
main().catch(console.error);

Documentation for each method, request param, and response field are available in docstrings and will appear on hover in most modern editors.

File Uploads

Request parameters that correspond to file uploads can be passed as either a FormData.Blob or a FormData.File instance.

We provide a fileFromPath helper function to easily create FormData.File instances from a given class.

import OpenAI, { fileFromPath } from 'openai';

const openAI = new OpenAI();

const file = await fileFromPath('input.jsonl');
await openAI.files.create({ file: file, purpose: 'fine-tune' });

Handling errors

When the library is unable to connect to the API, or if the API returns a non-success status code (i.e., 4xx or 5xx response), a subclass of APIError will be thrown:

async function main() {
  const fineTune = await openAI.fineTunes
    .create({ training_file: 'file-XGinujblHPwGLSztz8cPS8XY' })
    .catch((err) => {
      if (err instanceof OpenAI.APIError) {
        console.log(err.status); // 400
        console.log(err.name); // BadRequestError

        console.log(err.headers); // {server: 'nginx', ...}
      }
    });
}
main().catch(console.error);

Error codes are as followed:

Status Code Error Type
400 BadRequestError
401 AuthenticationError
403 PermissionDeniedError
404 NotFoundError
422 UnprocessableEntityError
429 RateLimitError
>=500 InternalServerError
N/A APIConnectionError

Retries

Certain errors will be automatically retried 2 times by default, with a short exponential backoff. Connection errors (for example, due to a network connectivity problem), 409 Conflict, 429 Rate Limit, and >=500 Internal errors will all be retried by default.

You can use the maxRetries option to configure or disable this:

// Configure the default for all requests:
const openAI = new OpenAI({
  maxRetries: 0, // default is 2
});

// Or, configure per-request:
openAI.embeddings.create({ model: 'text-similarity-babbage-001',input: 'The food was delicious and the waiter...' }, {
  maxRetries: 5,
});

Timeouts

Requests time out after 60 seconds by default. You can configure this with a timeout option:

// Configure the default for all requests:
const openAI = new OpenAI({
  timeout: 20 * 1000, // 20 seconds (default is 60s)
});

// Override per-request:
openAI.edits.create({ model: 'text-davinci-edit-001',input: 'What day of the wek is it?',instruction: 'Fix the spelling mistakes' }, {
  timeout: 5 * 1000,
});

On timeout, an APIConnectionTimeoutError is thrown.

Note that requests which time out will be retried twice by default.

Configuring an HTTP(S) Agent (e.g., for proxies)

By default, this library uses a stable agent for all http/https requests to reuse TCP connections, eliminating many TCP & TLS handshakes and shaving around 100ms off most requests.

If you would like to disable or customize this behavior, for example to use the API behind a proxy, you can pass an httpAgent which is used for all requests (be they http or https), for example:

import http from 'http';
import HttpsProxyAgent from 'https-proxy-agent';

// Configure the default for all requests:
const openAI = new OpenAI({
  httpAgent: new HttpsProxyAgent(process.env.PROXY_URL),
});

// Override per-request:
openAI.models.list({
  baseURL: 'http://localhost:8080/test-api',
  httpAgent: new http.Agent({ keepAlive: false }),
})

Status

This package is in beta. Its internals and interfaces are not stable and subject to change without a major semver bump; please reach out if you rely on any undocumented behavior.

We are keen for your feedback; please open an issue with questions, bugs, or suggestions.

Requirements

The following runtimes are supported:

  • Node.js version 12 or higher.
  • Deno v1.28.0 or higher (experimental). Use import OpenAI from "npm:openai".

If you are interested in other runtime environments, please open or upvote an issue on GitHub.