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openai - npm Package Compare versions

Comparing version 1.1.1 to 1.1.3

postinstall.js

0

dist/index.d.ts
export * from './lib.js';
export * from './types.js';
export * from './lib.js';
export * from './types.js';

@@ -0,0 +0,0 @@ /// <reference types="node" />

@@ -0,0 +0,0 @@ import { ContentLabel, } from './types.js';

@@ -0,0 +0,0 @@ declare type LiteralUnion<T extends U, U = string> = T | (U & {});

@@ -0,0 +0,0 @@ export var ContentLabel;

11

package.json
{
"name": "openai",
"version": "1.1.1",
"version": "1.1.3",
"description": "Tiny OpenAI API wrapper",

@@ -12,3 +12,4 @@ "type": "module",

"lint": "eslint . --fix --cache && prettier --write src",
"lint:nofix": "eslint . && prettier --check src"
"lint:nofix": "eslint . && prettier --check src",
"postinstall": "node ./postinstall.js"
},

@@ -24,3 +25,4 @@ "repository": {

"gpt",
"ai"
"ai",
"openai"
],

@@ -44,4 +46,5 @@ "bugs": {

"form-data": "4.0.0",
"node-fetch": "3.1.0"
"node-fetch": "3.1.0",
"openai": "^1.1.2"
}
}

@@ -1,204 +0,7 @@

[![Build Status](https://github.com/ceifa/openai/actions/workflows/publish.yml/badge.svg)](https://github.com/ceifa/openai/actions/workflows/publish.yml)
[![npm](https://img.shields.io/npm/v/openai.svg)](https://npmjs.com/package/openai)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
# OpenAI
A tiny async production-ready wrapper for [OpenAI GPT-3 API](https://beta.openai.com/docs/api-reference/introduction).
> tl;dr: Please consider using [GPT-X](https://www.npmjs.com/package/gpt-x) instead
**This is an unofficial library and has no affiliations with OpenAI**
This package will be replaced soon by an official one from OpenAI. If you still want to use the unofficial version package, just switch to the new one called [GPT-X](https://www.npmjs.com/package/gpt-x), it will remain the same API for compatibility reasons.
## Installation
### Via npm
```sh
npm install openai
```
### Via yarn
```sh
yarn add openai
```
## Usage
### Initialize OpenAI
```js
import { OpenAI } from 'openai';
// or the commonJS way:
const { OpenAI } = require('openai');
// new OpenAI(apikey: string, organization?: string, version?: string)
const openai = new OpenAI(process.env.API_KEY, 'my-organization');
```
### Engine
Get all engines:
```js
const engines = await openai.getEngines();
```
Get specific engine:
```js
const engine = await openai.getEngine('curie');
```
### Completion
Make a completion:
```js
const completion = await openai.complete('curie', {
prompt: 'Q: Hello\nA:',
user: 'user-123'
});
```
The options argument(2nd) properties follow the exactly same names as shown on official docs.
Make a completion from a fine-tuned model:
```js
const completion = await openai.completeFromModel('FINE_TUNED_MODEL', {
prompt: 'Q: Hello\nA:'
});
```
Make a completion and stream the response:
```js
const stream = await openai.completeAndStream('curie', { // or completeFromModelAndStream
prompt: 'Q: Hello\nA:',
user: 'user-123'
});
stream.pipe(response)
```
Make a content filter:
```js
const isSafe = (await openai.contentFilter('hi I am cool')) === 0;
```
### Search
Make a search:
```js
const search = await openai.search('curie', {
query: 'the president',
documents: [
'whitehouse',
'school',
'hospital'
]
});
```
The options argument(2nd) properties follow the exactly same names as shown on official docs.
### Classification
Classify a document:
```js
const classification = await openai.classify({
examples: [
['A happy moment', 'Positive'],
['I am sad.', 'Negative'],
['I am feeling awesome', 'Positive']
],
labels: ['Positive', 'Negative', 'Neutral'],
query: 'It is a raining day :(',
search_model: 'ada',
model: 'curie'
});
```
The argument properties follow the exactly same names as shown on official docs.
### Answer
Answer a question:
```js
const answer = await openai.answer({
documents: ['Puppy A is happy.', 'Puppy B is sad.'],
question: 'which puppy is happy?',
search_model: 'ada',
model: 'curie',
examples_context: 'In 2017, U.S. life expectancy was 78.6 years.',
examples: [['What is human life expectancy in the United States?','78 years.']],
});
```
The argument properties follow the exactly same names as shown on official docs.
### File
Get all files:
```js
const files = await openai.getFiles();
```
Upload a single file:
```js
const result = await openai.uploadFile('filename.json', await fs.readFileSync('somefile.json'), 'fine-tune');
```
Get a single file by id:
```js
const file = await openai.getFile('file-29u89djwq');
```
Delete a single file by id:
```js
await openai.deleteFile('file-29u89djwq');
```
### Fine-tuning
Fine-tune from a file:
```js
const result = await openai.finetune({
training_file: 'file-29u89djwq'
});
```
The argument properties follow the exactly same names as shown on official docs.
Get all fine-tunes:
```js
const finetunes = await openai.getFinetunes();
```
Get a specific fine-tune:
```js
const finetune = await openai.getFinetune('ftjob-AF1WoRqd3aJ');
```
Cancel a fine-tune:
```js
await openai.cancelFinetune('ftjob-AF1WoRqd3aJ');
```
Get fine-tune events of a fine-tune:
```js
const events = await openai.getFinetuneEvents('ftjob-AF1WoRqd3aJ');
```
Enter in our community about Natural language generation to share and learn about OpenAI, prompt engineering and other providers: https://discord.gg/8ZwcSt9XkD
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