An unofficial library for OpenAI's API.
- PHP 5.4.0 or above
- Composer
- An OpenAI API key
git clone [email protected]:ruscoe/openai-php.git
cd openai-php
composer install
The following examples assume you store your API key in an environment variable. To do this on a Linux or MacOS system, run:
export OPENAI_API_KEY=sk-XA0yN...
Be sure to substitute your own API key after OPENAI_API_KEY=
.
This example asks the gpt-3.5-turbo
model to describe a keyboard.
It instructs the OpenAI API to use more than the default number of
tokens so a reasonable length description can be returned.
<?php
require __DIR__ . '/vendor/autoload.php';
// @see https://platform.openai.com/docs/api-reference/authentication
$api_key = getenv('OPENAI_API_KEY');
$api = new OpenAI\OpenAICompletions($api_key);
$parameters = [
'max_tokens' => 128,
];
$response = $api->create('gpt-3.5-turbo', 'Describe a keyboard', 1, $parameters);
var_dump($response);
The response:
object(stdClass)#34 (6) {
["id"]=>
string(34) "cmpl-7EqnVAO0xpxtWkDepi2s64AG7UAbU"
["object"]=>
string(15) "text_completion"
["created"]=>
int(1683773901)
["model"]=>
string(16) "gpt-3.5-turbo"
["choices"]=>
array(1) {
[0]=>
object(stdClass)#32 (4) {
["text"]=>
string(663) "
A keyboard is a computer peripheral device used for entering data and commands into a computer or other device. It consists of a keypad, usually a set of standard-sized keys corresponding to letters, numbers, symbols, and/or functionality, which can be powered by various means including electricity, batteries, or solar cells. It generally has several special-function keys that can be used to control program functions, such as volume or brightness levels. Modern keyboards often include multimedia hotkeys, and are typically back-lit in order to make typing in the dark easier. Some keyboards may include a palm rest to help reduce fatigue caused by extended"
["index"]=>
int(0)
["logprobs"]=>
NULL
["finish_reason"]=>
string(6) "length"
}
}
["usage"]=>
object(stdClass)#18 (3) {
["prompt_tokens"]=>
int(4)
["completion_tokens"]=>
int(128)
["total_tokens"]=>
int(132)
}
}
This example sends a simple chat message.
<?php
require __DIR__ . '/vendor/autoload.php';
// @see https://platform.openai.com/docs/api-reference/authentication
$api_key = getenv('OPENAI_API_KEY');
$api = new OpenAI\OpenAIChat($api_key);
$messages = [
(object) ['role' => 'user', 'content' => 'Hello, friend!'],
];
$response = $api->create('gpt-3.5-turbo', $messages);
var_dump($response);
The response:
object(stdClass)#35 (6) {
["id"]=>
string(38) "chatcmpl-7EqphlIJngrqxGAiDdtV9JMu89NhQ"
["object"]=>
string(15) "chat.completion"
["created"]=>
int(1683774037)
["model"]=>
string(18) "gpt-3.5-turbo-0301"
["usage"]=>
object(stdClass)#33 (3) {
["prompt_tokens"]=>
int(12)
["completion_tokens"]=>
int(10)
["total_tokens"]=>
int(22)
}
["choices"]=>
array(1) {
[0]=>
object(stdClass)#29 (3) {
["message"]=>
object(stdClass)#19 (2) {
["role"]=>
string(9) "assistant"
["content"]=>
string(40) "Hello there, how may I assist you today?"
}
["finish_reason"]=>
string(4) "stop"
["index"]=>
int(0)
}
}
}
Create image
This example asks for two images of a red six-sided dice in water.
<?php
require __DIR__ . '/vendor/autoload.php';
// @see https://platform.openai.com/docs/api-reference/authentication
$api_key = getenv('OPENAI_API_KEY');
$api = new OpenAI\OpenAIImages($api_key);
$response = $api->createAsURL('A red six-sided dice in water', 2, '256x256');
The response
Create image variation
<?php
require __DIR__ . '/vendor/autoload.php';
// @see https://platform.openai.com/docs/api-reference/authentication
$api_key = getenv('OPENAI_API_KEY');
$api = new OpenAI\OpenAIImages($api_key);
$response = $api->createVariationAsURL('variation.png', 1, '256x256');
The source and response
Create image edit
<?php
require __DIR__ . '/vendor/autoload.php';
// @see https://platform.openai.com/docs/api-reference/authentication
$api_key = getenv('OPENAI_API_KEY');
$api = new OpenAI\OpenAIImages($api_key);
$response = $api->createEditAsURL('edit.png', 'a duck driving a car', 'edit_mask.png', 1, '256x256');
The source and response
First, take a look at the official documentation on fine-tuning.
Create and upload your training file. Example:
training.jsonl
{"prompt": "bird =", "completion": " animal"}
{"prompt": "dog =", "completion": " animal"}
{"prompt": "cat =", "completion": " animal"}
{"prompt": "limestone =", "completion": " rock"}
{"prompt": "shale =", "completion": " rock"}
{"prompt": "marble =", "completion": " rock"}
<?php
require __DIR__ . '/vendor/autoload.php';
// @see https://platform.openai.com/docs/api-reference/authentication
$api_key = getenv('OPENAI_API_KEY');
$api = new OpenAI\OpenAIFiles($api_key);
$file = $api->uploadFile('training.jsonl');
List your files to get the file ID:
$api = new OpenAI\OpenAIFiles($api_key);
$files = $api->getFiles();
var_dump($files);
Create a new training job using the file ID you've obtained:
$api = new OpenAI\OpenAIFineTunes($api_key);
$api->create('file-1CO...');
List models to get the name of your new fine-tuned model:
$api = new OpenAI\OpenAIModels($api_key);
$models = $api->getModels();
var_dump($models);
The model name will start with curie:ft
and end with the current date and time.
Create a new completion using your fine-tuned model.
$api = new OpenAI\OpenAICompletions($api_key);
$response = $api->create('curie:ft...', 'dog =', 1, $parameters);
The response should include "animal".
$api = new OpenAI\OpenAICompletions($api_key);
$response = $api->create('curie:ft...', 'marble =', 1, $parameters);
The response should include "rock".
Class | Function | Description |
---|---|---|
OpenAIModels | getModels | Gets available OpenAI models. |
OpenAIModels | getModel | Gets a specific OpenAI model. |
Class | Function | Description |
---|---|---|
OpenAICompletions | create | Creates one or more completions from a given input. |
Class | Function | Description |
---|---|---|
OpenAIChat | create | Creates one or more completions from a chat conversation. |
Class | Function | Description |
---|---|---|
OpenAIEdits | create | Performs an edit on a given input. |
Class | Function | Description |
---|---|---|
OpenAIImages | createAsURL | Generates a number of images and returns URLs. |
OpenAIImages | createAsBase64 | Generates a number of images and returns Base64 encoded image(s). |
OpenAIImages | createVariationAsURL | Generates a number of image variations and returns URL(s). |
OpenAIImages | createVariationAsBase64 | Generates a number of image variations and returns Base64 encoded image(s). |
OpenAIImages | createVariation | Generates a number of image variations from a given image. |
OpenAIImages | createEditAsURL | Generates a number of image edits and returns URL(s). |
OpenAIImages | createEditAsBase64 | Generates a number of image edits and returns Base64 encoded image(s). |
OpenAIImages | createEdit | Generates a number of image edits from a given image. |
Class | Function | Description |
---|---|---|
OpenAIEmbeddings | create | Creates an embedding vector from given input. |
Class | Function | Description |
---|---|---|
OpenAIAudio | transcribe | Transcribes text from an audio file. |
Class | Function | Description |
---|---|---|
OpenAIFiles | getFiles | Gets files owned by the user's organization. |
OpenAIFiles | uploadFile | Uploads a file. |
OpenAIFiles | deleteFile | Deletes a file. |
OpenAIFiles | getFile | Gets information about a file. |
OpenAIFiles | getFileContent | Gets the content of a file. |
Class | Function | Description |
---|---|---|
OpenAIFineTunes | create | Creates a fine-tune job. |
OpenAIFineTunes | getFineTunes | Gets existing fine-tunes. |
OpenAIFineTunes | cancelFineTune | Cancels a fine-tune job. |
OpenAIFineTunes | getFineTuneEvents | Gets status updates of a fine-tune job. |
OpenAIFineTunes | deleteModel | Deletes a fine-tuned model. |
Class | Function | Description |
---|---|---|
OpenAIModerations | create | Requests a moderation result from OpenAI. |