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openai-streams
Advanced tools
Tools for working with OpenAI streams in Node.js and TypeScript.
Now with ChatGPT API support! See Use with ChatGPT API. (Whisper coming soon!)
This library returns OpenAI API responses as streams only. Non-stream endpoints
like edits
etc. are simply a stream with only one chunk update.
OPENAI_API_KEY
from process.env
.Uses ReadableStream
by default for browser, Edge Runtime, and Node 18+, with
a NodeJS.Readable
version available at openai-streams/node
.
yarn add openai-streams
# -or-
npm i --save openai-streams
await OpenAI(
/** 'completions', 'chat', etc. */
ENDPOINT,
/** max_tokens, temperature, messages, etc. */
PARAMS,
/** apiBase, apiKey, mode, controller, etc */
OPTIONS
);
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",
{
/* endpoint params */
},
{ apiKey: process.env.MY_SECRET_API_KEY }
);
Call the API via await OpenAI(endpoint, params, options?)
.
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 with raw
streaming mode:
await OpenAI(
"chat",
{
messages: [
/* ... */
],
},
{ mode: "raw" }
);
This will also work in the browser, but you'll need users to paste their OpenAI
key and pass it in via the { apiKey }
option.
import { OpenAI } from "openai-streams";
export default async function handler() {
const stream = await OpenAI("completions", {
model: "text-davinci-003",
prompt: "Write a happy sentence.\n\n",
max_tokens: 100,
});
return new Response(stream);
}
export const config = {
runtime: "edge",
};
If you cannot use an Edge runtime or want to consume Node.js streams for another
reason, use openai-streams/node
:
import type { NextApiRequest, NextApiResponse } from "next";
import { OpenAI } from "openai-streams/node";
export default async function test(_: NextApiRequest, res: NextApiResponse) {
const stream = await OpenAI("completions", {
model: "text-davinci-003",
prompt: "Write a happy sentence.\n\n",
max_tokens: 25,
});
stream.pipe(res);
}
See the example in
example/src/pages/api/hello.ts
.
By default, with mode = "tokens"
, you will receive just the message deltas.
For full events, use mode = "raw"
.
See: https://platform.openai.com/docs/guides/chat/introduction
const stream = await OpenAI("chat", {
model: "gpt-3.5-turbo",
messages: [
{
role: "system",
content: "You are a helpful assistant that translates English to French.",
},
{
role: "user",
content: 'Translate the following English text to French: "Hello world!"',
},
],
});
In tokens
mode, you will just receive the response chunks, which look like this
(separated with newlines for illustration):
Hello
!
How
can
I
assist
you
today
?
Use mode = "raw"
for access to raw events.
for await (const chunk of yieldStream(stream)) { ... }
. We recommend following this
pattern if you find it intuitive.FAQs
Tools for working with OpenAI streams in Node.js and TypeScript.
The npm package openai-streams receives a total of 252 weekly downloads. As such, openai-streams popularity was classified as not popular.
We found that openai-streams demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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