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URL: https://orhanerday.gitbook.io/openai-php-api-1

⇱ Docs | openai-php-api

For the complete documentation index, see llms.txt. This page is also available as Markdown.

OpenAI API Client in PHP

ChatGPT API is currently supported, click here for the implementation introductions.

A message from creator, Thank you for visiting the @orhanerday/open-ai repository! If you find this repository helpful or useful, we encourage you to star it on GitHub. Starring a repository is a way to show your support for the project. It also helps to increase the visibility of the project and to let the community know that it is valuable. Thanks again for your support and we hope you find the repository useful! Orhan

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Comparison With Other Packages

Project Name
Required PHP Version
Description
Type (Official / Community)
Support

orhanerday/open-ai

PHP 7.4+

Most downloaded, forked, contributed, huge community supported, and used PHP SDK for OpenAI GPT-3 and DALL-E. It also supports chatGPT-like streaming.

Community

Available, (Community driven Discord Server or personal mail orhan@duck.com)

openai-** /c***t

PHP 8.1+

OpenAI PHP API client.

Community

-

About this package

Fully open-source and secure community-maintained, PHP SDK for accessing the OpenAI GPT-3 API.

For more information, you can read laravel news blog post.

Free support is available. Join our discord server

To get started with this package, you'll first want to be familiar with the OpenAI API documentation and examples. Also you can get help from our discord channel that called #api-support

News

  • orhanerday/open-ai added to community libraries php section.

  • orhanerday/open-ai featured on PHPStorm blog post, thanks JetBrains!

Requires PHP 7.4+

Join our discord server

Click here to join the Discord server

Support this project

As you may know, OpenAI PHP is an open-source project wrapping tool for OpenAI. We rely on the support of our community to continue developing and maintaining the project, and one way that you can help is by making a donation.

Donations allow us to cover expenses such as hosting costs(for testing), development tools, and other resources that are necessary to keep the project running smoothly. Every contribution, no matter how small, helps us to continue improving OpenAI PHP for everyone.

If you have benefited from using OpenAI PHP and would like to support its continued development, we would greatly appreciate a donation of any amount. You can make a donation through;

  • Click here for the Coinbase QR Bitcoin > 34w2DftWGkDqDbYMixkmdWWMLmaP9uTRz7

  • Click here for the Coinbase QR Dogecoin > DHiqcZox9M8kYDn7BkesnN6Z2kJ7dYG9Lc

  • Click here for the Coinbase QR Ethereum > 0x135E2D5d7AC40c6850f844BA589D68e91a268Ceb

Thank you for considering a donation to Orhanerday/OpenAI PHP SDK. Your support is greatly appreciated and helps to ensure that the project can continue to grow and improve.

Sincerely,

Orhan Erday / Creator.

Endpoint Support

Installation

You can install the package via composer:

Quick Start ⚡

Before you get starting, you should set OPENAI_API_KEY as ENV key, and set OpenAI key as env value with the following commands;

Powershell

Cmd

Linux or macOS

Getting issues while setting up env? Please read the article or you can check my StackOverflow answer for the Windows® ENV setup.

Create your index.php file and paste the following code part into the file.

Run the server with the following command

Usage

Load your key from an environment variable.

According to the following code $open_ai is the base variable for all open-ai operations.

Requesting organization

For users who belong to multiple organizations, you can pass a header to specify which organization is used for an API request. Usage from these API requests will count against the specified organization's subscription quota.

Base URL

You can specify Origin URL with setBaseURL() method;

Use Proxy

You can use some proxy servers for your requests api;

Set header

Get cURL request info

!!! WARNING:Your API key will expose if you add this method to your code, therefore remove the method before deployment. Be careful !

You can get cURL info after the request.

Chat (as known as ChatGPT API)

Given a chat conversation, the model will return a chat completion response.

Accessing the Element

Related: ChatGPT Clone Project

Completions

Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position.

Stream Example

This feature might sound familiar from ChatGPT.

ChatGPT Clone Project

Video of demo:

https://user-images.githubusercontent.com/22305274/219878695-c76a58c0-5081-402c-a1b5-2b1fd971735a.mp4

ChatGPT clone is a simple web application powered by the OpenAI library and built with PHP. It allows users to chat with an AI language model that responds in real-time. Chat history is saved using cookies, and the project requires the use of an API key and enabled SQLite3.

Url of The ChatGPT-Clone Repo https://github.com/orhanerday/ChatGPT

Whether to stream back partial progress. If set, tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message.

Add this part inside <body> of the HTML

You should see a response like the in video;

https://user-images.githubusercontent.com/22305274/209847128-f72c9345-dd34-46f0-bbc5-daf1d7b6121f.mp4

Edits

Creates a new edit for the provided input, instruction, and parameters

Images (DALL·E)

All DALL·E Examples available in this repo.

Given a prompt, the model will return one or more generated images as urls or base64 encoded.

Create image

Creates an image given a prompt.

Create image edit

Creates an edited or extended image given an original image and a prompt.

You need HTML upload for image edit or variation? Please check DALL·E Examples

Create image variation

Creates a variation of a given image.

Searches

(Deprecated)

This endpoint is deprecated and will be removed on December 3rd, 2022 OpenAI developed new methods with better performance. Learn more.

Given a query and a set of documents or labels, the model ranks each document based on its semantic similarity to the provided query.

Embeddings

Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.

Related guide: Embeddings

Create embeddings

Answers

(Deprecated)

This endpoint is deprecated and will be removed on December 3rd, 2022 We’ve developed new methods with better performance. Learn more.

Given a question, a set of documents, and some examples, the API generates an answer to the question based on the information in the set of documents. This is useful for question-answering applications on sources of truth, like company documentation or a knowledge base.

Classifications

(Deprecated)

This endpoint is deprecated and will be removed on December 3rd, 2022 OpenAI developed new methods with better performance. Learn more.

Given a query and a set of labeled examples, the model will predict the most likely label for the query. Useful as a drop-in replacement for any ML classification or text-to-label task.

Content Moderations

Given a input text, outputs if the model classifies it as violating OpenAI's content policy.

Know more about Content Moderations here: OpenAI Moderations

List engines

(Deprecated)

The Engines endpoints are deprecated. Please use their replacement, Models, instead. Learn more.

Lists the currently available engines, and provides basic information about each one such as the owner and availability.

Audio

Create Transcription

Transcribes audio into the input language.

Response

Create Translation

Translates audio into English.

I use Turkish voice for translation thanks to famous science YouTuber Barış Özcan

Response

Need HTML upload for audio? Check this section and change api references. Example :

Files

Files are used to upload documents that can be used across features like Answers, Search, and Classifications

List files

Returns a list of files that belong to the user's organization.

Upload file

Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact OpenAI if you need to increase the storage limit.

Upload file with HTML Form

Delete file

Retrieve file

Retrieve file content

Fine-tunes

Manage fine-tuning jobs to tailor a model to your specific training data.

Create fine-tune

List fine-tune

Retrieve fine-tune

Cancel fine-tune

List fine-tune events

Delete fine-tune model

Retrieve engine

(Deprecated)

Retrieves an engine instance, providing basic information about the engine such as the owner and availability.

Models

List and describe the various models available in the API.

List models

Lists the currently available models, and provides basic information about each one such as the owner and availability.

Retrieve model

Retrieves a model instance, providing basic information about the model such as the owner and permissioning.

Printing results i.e. $search

Testing

To run all tests:

To run only those tests that work for most user (exclude those that require a missing folder or that hit deprecated endpoints no longer available to most users):

Changelog

Please see CHANGELOG for more information on what has changed recently.

Contributing

Please see CONTRIBUTING for details.

Security Vulnerabilities

Please report security vulnerabilities to orhanerday@gmail.com

Credits

License

The MIT License (MIT). Please see License File for more information.

Donation

👁 Buy Me A Coffee

btc

eth

doge

Last updated 

composer require orhanerday/open-ai
$Env:OPENAI_API_KEY = "sk-gjtv....."
set OPENAI_API_KEY=sk-gjtv.....
export OPENAI_API_KEY=sk-gjtv.....
<?php
require __DIR__ . '/vendor/autoload.php'; // remove this line if you use a PHP Framework.
use Orhanerday\OpenAi\OpenAi;
$open_ai_key = getenv('OPENAI_API_KEY');
$open_ai = new OpenAi($open_ai_key);
$chat = $open_ai->chat([
 'model' => 'gpt-3.5-turbo',
 'messages' => [
 [
 "role" => "system",
 "content" => "You are a helpful assistant."
 ],
 [
 "role" => "user",
 "content" => "Who won the world series in 2020?"
 ],
 [
 "role" => "assistant",
 "content" => "The Los Angeles Dodgers won the World Series in 2020."
 ],
 [
 "role" => "user",
 "content" => "Where was it played?"
 ],
 ],
 'temperature' => 1.0,
 'max_tokens' => 4000,
 'frequency_penalty' => 0,
 'presence_penalty' => 0,
]);
var_dump($chat);
echo "<br>";
echo "<br>";
echo "<br>";
// decode response
$d = json_decode($chat);
// Get Content
echo($d->choices[0]->message->content);
php -S localhost:8000 -t .
use Orhanerday\OpenAi\OpenAi;
$open_ai = new OpenAi(env('OPEN_AI_API_KEY'));
$open_ai_key = getenv('OPENAI_API_KEY');
$open_ai = new OpenAi($open_ai_key);
$open_ai->setORG("org-IKN2E1nI3kFYU8ywaqgFRKqi");
$open_ai_key = getenv('OPENAI_API_KEY');
$open_ai = new OpenAi($open_ai_key,$originURL);
$open_ai->setBaseURL("https://ai.example.com/");
$open_ai->setProxy("http://127.0.0.1:1086");
$open_ai->setHeader(["Connection"=>"keep-alive"]);
$open_ai = new OpenAi($open_ai_key);
echo $open_ai->listModels(); // you should execute the request FIRST!
var_dump($open_ai->getCURLInfo()); // You can call the request
$complete = $open_ai->chat([
 'model' => 'gpt-3.5-turbo',
 'messages' => [
 [
 "role" => "system",
 "content" => "You are a helpful assistant."
 ],
 [
 "role" => "user",
 "content" => "Who won the world series in 2020?"
 ],
 [
 "role" => "assistant",
 "content" => "The Los Angeles Dodgers won the World Series in 2020."
 ],
 [
 "role" => "user",
 "content" => "Where was it played?"
 ],
 ],
 'temperature' => 1.0,
 'max_tokens' => 4000,
 'frequency_penalty' => 0,
 'presence_penalty' => 0,
]);
<?php
// Dummy Response For Chat API 
$j = '
{
 "id":"chatcmpl-*****",
 "object":"chat.completion",
 "created":1679748856,
 "model":"gpt-3.5-turbo-0301",
 "usage":{
 "prompt_tokens":9,
 "completion_tokens":10,
 "total_tokens":19
 },
 "choices":[
 {
 "message":{
 "role":"assistant",
 "content":"This is a test of the AI language model."
 },
 "finish_reason":"length",
 "index":0
 }
 ]
}
';
// decode response
$d = json_decode($j);
// Get Content
echo($d->choices[0]->message->content);
$complete = $open_ai->completion([
 'model' => 'text-davinci-002',
 'prompt' => 'Hello',
 'temperature' => 0.9,
 'max_tokens' => 150,
 'frequency_penalty' => 0,
 'presence_penalty' => 0.6,
]);
$open_ai = new OpenAi(env('OPEN_AI_API_KEY'));
$opts = [
 'prompt' => "Hello",
 'temperature' => 0.9,
 "max_tokens" => 150,
 "frequency_penalty" => 0,
 "presence_penalty" => 0.6,
 "stream" => true,
];
header('Content-type: text/event-stream');
header('Cache-Control: no-cache');
$open_ai->completion($opts, function ($curl_info, $data) {
 echo $data . "<br><br>";
 echo PHP_EOL;
 ob_flush();
 flush();
 return strlen($data);
});

<div id="divID">Hello</div>
<script>
 var eventSource = new EventSource("/");
 var div = document.getElementById('divID');
 eventSource.onmessage = function (e) {
 if(e.data == "[DONE]")
 {
 div.innerHTML += "<br><br>Hello";
 }
 div.innerHTML += JSON.parse(e.data).choices[0].text;
 };
 eventSource.onerror = function (e) {
 console.log(e);
 };
</script>
 $result = $open_ai->createEdit([
 "model" => "text-davinci-edit-001",
 "input" => "What day of the wek is it?",
 "instruction" => "Fix the spelling mistakes",
 ]);
$complete = $open_ai->image([
 "prompt" => "A cat drinking milk",
 "n" => 1,
 "size" => "256x256",
 "response_format" => "url",
]);
$otter = curl_file_create(__DIR__ . './files/otter.png');
$mask = curl_file_create(__DIR__ . './files/mask.jpg');
$result = $open_ai->imageEdit([
 "image" => $otter,
 "mask" => $mask,
 "prompt" => "A cute baby sea otter wearing a beret",
 "n" => 2,
 "size" => "1024x1024",
]);
$otter = curl_file_create(__DIR__ . './files/otter.png');
$result = $open_ai->createImageVariation([
 "image" => $otter,
 "n" => 2,
 "size" => "256x256",
]);
$search = $open_ai->search([
 'engine' => 'ada',
 'documents' => ['White House', 'hospital', 'school'],
 'query' => 'the president',
]);
$result = $open_ai->embeddings([
 "model" => "text-similarity-babbage-001",
 "input" => "The food was delicious and the waiter..."
]);
$answer = $open_ai->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.']],
 'max_tokens' => 5,
 'stop' => ["\n", '<|endoftext|>'],
]);
$classification = $open_ai->classification([
 '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',
]);
$flags = $open_ai->moderation([
 'input' => 'I want to kill them.'
]);
$engines = $open_ai->engines();
$c_file = curl_file_create(__DIR__ . '/files/en-marvel-endgame.m4a');
$result = $open_ai->transcribe([
 "model" => "whisper-1",
 "file" => $c_file,
]);
{
 "text": "I'm going to use the stones again. Hey, we'd be going in short-handed, you know. Look, he's still got the stones, so... So let's get them. Use them to bring everyone back. Just like that? Yeah, just like that. Even if there's a small chance that we can undo this, I mean, we owe it to everyone who's not in this room to try. If we do this, how do we know it's going to end any differently than it did before? Because before you didn't have me. Hey, little girl, everybody in this room is about that superhero life. And if you don't mind my asking, where the hell have you been all this time? There are a lot of other planets in the universe. But unfortunately, they didn't have you guys. I like this one. Let's go get this son of a bitch."
}
$c_file = curl_file_create(__DIR__ . '/files/tr-baris-ozcan-youtuber.m4a');
$result = $open_ai->translate([
 "model" => "whisper-1",
 "file" => $c_file,
]);
{
 "text": "GPT-3. Last month, the biggest leap in the world of artificial intelligence in recent years happened silently. Maybe the biggest leap of all time. GPT-3's beta version was released by OpenAI. When you hear such a sentence, you may think, what kind of leap is this? But be sure, this is the most advanced language model with the most advanced language model with the most advanced language ability. It can answer these artificial intelligence questions, it can translate and even write poetry. Those who have gained access to the API or API of GPT-3 have already started to make very interesting experiments. Let's look at a few examples together. Let's start with an example of aphorism. This site produces beautiful words that you can tweet. Start to actually do things with your words instead of just thinking about them."
}
...
 echo $open_ai->translate(
 [
 "purpose" => "answers",
 "file" => $c_file,
 ]
 );
...
// OR
...
 echo $open_ai->transcribe(
 [
 "purpose" => "answers",
 "file" => $c_file,
 ]
 );
...
$files = $open_ai->listFiles();
$c_file = curl_file_create(__DIR__ . 'files/sample_file_1.jsonl');
$result = $open_ai->uploadFile([
 "purpose" => "answers",
 "file" => $c_file,
]);
<form action="index.php" method="post" enctype="multipart/form-data">
 Select file to upload:
 <input type="file" name="fileToUpload" id="fileToUpload">
 <input type="submit" value="Upload File" name="submit">
</form>
<?php
require __DIR__ . '/vendor/autoload.php';
use Orhanerday\OpenAi\OpenAi;
if ($_SERVER['REQUEST_METHOD'] == 'POST') {
 ob_clean();
 $open_ai = new OpenAi(env('OPEN_AI_API_KEY'));
 $tmp_file = $_FILES['fileToUpload']['tmp_name'];
 $file_name = basename($_FILES['fileToUpload']['name']);
 $c_file = curl_file_create($tmp_file, $_FILES['fileToUpload']['type'], $file_name);
 echo "[";
 echo $open_ai->uploadFile(
 [
 "purpose" => "answers",
 "file" => $c_file,
 ]
 );
 echo ",";
 echo $open_ai->listFiles();
 echo "]";
}

$result = $open_ai->deleteFile('file-xxxxxxxx');
$file = $open_ai->retrieveFile('file-xxxxxxxx');
$file = $open_ai->retrieveFileContent('file-xxxxxxxx');
$result = $open_ai->createFineTune([
 "training_file" => "file-U3KoAAtGsjUKSPXwEUDdtw86",
]);
$fine_tunes = $open_ai->listFineTunes();
$fine_tune = $open_ai->retrieveFineTune('ft-AF1WoRqd3aJAHsqc9NY7iL8F');
$result = $open_ai->cancelFineTune('ft-AF1WoRqd3aJAHsqc9NY7iL8F');
$fine_tune_events = $open_ai->listFineTuneEvents('ft-AF1WoRqd3aJAHsqc9NY7iL8F');
$result = $open_ai->deleteFineTune('curie:ft-acmeco-2021-03-03-21-44-20');
$engine = $open_ai->engine('davinci');
$result = $open_ai->listModels();
$result = $open_ai->retrieveModel("text-ada-001");
echo $search;
composer test
./vendor/bin/pest --group=working