OpenAI PHP is a community-maintained PHP API client that allows you to interact with the Open AI API. If you or your business relies on this package, it's important to support the developers who have contributed their time and effort to create and maintain this valuable tool:
- Nuno Maduro: github.com/sponsors/nunomaduro
- Sandro Gehri: github.com/sponsors/gehrisandro
Requires PHP 8.1+
First, install OpenAI via the Composer package manager:
composer require openai-php/client
Ensure that the php-http/discovery
composer plugin is allowed to run or install a client manually if your project does not already have a PSR-18 client integrated.
composer require guzzlehttp/guzzle
Then, interact with OpenAI's API:
$yourApiKey = getenv('YOUR_API_KEY');
$client = OpenAI::client($yourApiKey);
$result = $client->completions()->create([
'model' => 'text-davinci-003',
'prompt' => 'PHP is',
]);
echo $result['choices'][0]['text']; // an open-source, widely-used, server-side scripting language.
If necessary, it is possible to configure and create a separate client.
$yourApiKey = getenv('YOUR_API_KEY');
$client = OpenAI::factory()
->withApiKey($yourApiKey)
->withOrganization('your-organization') // default: null
->withBaseUri('openai.example.com/v1') // default: api.openai.com/v1
->withHttpClient(new \GuzzleHttp\Client([])) // default: HTTP client found using PSR-18 HTTP Client Discovery
->withHttpHeader('X-My-Header', 'foo')
->withQueryParam('my-param', 'bar')
->make();
Lists the currently available models, and provides basic information about each one such as the owner and availability.
$response = $client->models()->list();
$response->object; // 'list'
foreach ($response->data as $result) {
$result->id; // 'text-davinci-003'
$result->object; // 'model'
// ...
}
$response->toArray(); // ['object' => 'list', 'data' => [...]]
Retrieves a model instance, providing basic information about the model such as the owner and permissioning.
$response = $client->models()->retrieve('text-davinci-003');
$response->id; // 'text-davinci-003'
$response->object; // 'model'
$response->created; // 1642018370
$response->ownedBy; // 'openai'
$response->root; // 'text-davinci-003'
$response->parent; // null
foreach ($response->permission as $result) {
$result->id; // 'modelperm-7E53j9OtnMZggjqlwMxW4QG7'
$result->object; // 'model_permission'
$result->created; // 1664307523
$result->allowCreateEngine; // false
$result->allowSampling; // true
$result->allowLogprobs; // true
$result->allowSearchIndices; // false
$result->allowView; // true
$result->allowFineTuning; // false
$result->organization; // '*'
$result->group; // null
$result->isBlocking; // false
}
$response->toArray(); // ['id' => 'text-davinci-003', ...]
Delete a fine-tuned model.
$response = $client->models()->delete('curie:ft-acmeco-2021-03-03-21-44-20');
$response->id; // 'curie:ft-acmeco-2021-03-03-21-44-20'
$response->object; // 'model'
$response->deleted; // true
$response->toArray(); // ['id' => 'curie:ft-acmeco-2021-03-03-21-44-20', ...]
Creates a completion for the provided prompt and parameters.
$response = $client->completions()->create([
'model' => 'text-davinci-003',
'prompt' => 'Say this is a test',
'max_tokens' => 6,
'temperature' => 0
]);
$response->id; // 'cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7'
$response->object; // 'text_completion'
$response->created; // 1589478378
$response->model; // 'text-davinci-003'
foreach ($response->choices as $result) {
$result->text; // '\n\nThis is a test'
$result->index; // 0
$result->logprobs; // null
$result->finishReason; // 'length' or null
}
$response->usage->promptTokens; // 5,
$response->usage->completionTokens; // 6,
$response->usage->totalTokens; // 11
$response->toArray(); // ['id' => 'cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7', ...]
Creates a completion for the chat message.
$response = $client->chat()->create([
'model' => 'gpt-3.5-turbo',
'messages' => [
['role' => 'user', 'content' => 'Hello!'],
],
]);
$response->id; // 'chatcmpl-6pMyfj1HF4QXnfvjtfzvufZSQq6Eq'
$response->object; // 'chat.completion'
$response->created; // 1677701073
$response->model; // 'gpt-3.5-turbo-0301'
foreach ($response->choices as $result) {
$result->index; // 0
$result->message->role; // 'assistant'
$result->message->content; // '\n\nHello there! How can I assist you today?'
$result->finishReason; // 'stop'
}
$response->usage->promptTokens; // 9,
$response->usage->completionTokens; // 12,
$response->usage->totalTokens; // 21
$response->toArray(); // ['id' => 'chatcmpl-6pMyfj1HF4QXnfvjtfzvufZSQq6Eq', ...]
Transcribes audio into the input language.
$response = $client->audio()->transcribe([
'model' => 'whisper-1',
'file' => fopen('audio.mp3', 'r'),
'response_format' => 'verbose_json',
]);
$response->task; // 'transcribe'
$response->language; // 'english'
$response->duration; // 2.95
$response->text; // 'Hello, how are you?'
foreach ($response->segments as $segment) {
$segment->index; // 0
$segment->seek; // 0
$segment->start; // 0.0
$segment->end; // 4.0
$segment->text; // 'Hello, how are you?'
$segment->tokens; // [50364, 2425, 11, 577, 366, 291, 30, 50564]
$segment->temperature; // 0.0
$segment->avgLogprob; // -0.45045216878255206
$segment->compressionRatio; // 0.7037037037037037
$segment->noSpeechProb; // 0.1076972484588623
$segment->transient; // false
}
$response->toArray(); // ['task' => 'transcribe', ...]
Translates audio into English.
$response = $client->audio()->translate([
'model' => 'whisper-1',
'file' => fopen('german.mp3', 'r'),
'response_format' => 'verbose_json',
]);
$response->task; // 'translate'
$response->language; // 'english'
$response->duration; // 2.95
$response->text; // 'Hello, how are you?'
foreach ($response->segments as $segment) {
$segment->index; // 0
$segment->seek; // 0
$segment->start; // 0.0
$segment->end; // 4.0
$segment->text; // 'Hello, how are you?'
$segment->tokens; // [50364, 2425, 11, 577, 366, 291, 30, 50564]
$segment->temperature; // 0.0
$segment->avgLogprob; // -0.45045216878255206
$segment->compressionRatio; // 0.7037037037037037
$segment->noSpeechProb; // 0.1076972484588623
$segment->transient; // false
}
$response->toArray(); // ['task' => 'translate', ...]
Creates a new edit for the provided input, instruction, and parameters.
$response = $client->edits()->create([
'model' => 'text-davinci-edit-001',
'input' => 'What day of the wek is it?',
'instruction' => 'Fix the spelling mistakes',
]);
$response->object; // 'edit'
$response->created; // 1589478378
foreach ($response->choices as $result) {
$result->text; // 'What day of the week is it?'
$result->index; // 0
}
$response->usage->promptTokens; // 25,
$response->usage->completionTokens; // 32,
$response->usage->totalTokens; // 57
$response->toArray(); // ['object' => 'edit', ...]
Creates an embedding vector representing the input text.
$response = $client->embeddings()->create([
'model' => 'text-similarity-babbage-001',
'input' => 'The food was delicious and the waiter...',
]);
$response->object; // 'list'
foreach ($response->embeddings as $embedding) {
$embedding->object; // 'embedding'
$embedding->embedding; // [0.018990106880664825, -0.0073809814639389515, ...]
$embedding->index; // 0
}
$response->usage->promptTokens; // 8,
$response->usage->totalTokens; // 8
$response->toArray(); // ['data' => [...], ...]
Returns a list of files that belong to the user's organization.
$response = $client->files()->list();
$response->object; // 'list'
foreach ($response->data as $result) {
$result->id; // 'file-XjGxS3KTG0uNmNOK362iJua3'
$result->object; // 'file'
// ...
}
$response->toArray(); // ['object' => 'list', 'data' => [...]]
Delete a file.
$response = $client->files()->delete($file);
$response->id; // 'file-XjGxS3KTG0uNmNOK362iJua3'
$response->object; // 'file'
$response->deleted; // true
$response->toArray(); // ['id' => 'file-XjGxS3KTG0uNmNOK362iJua3', ...]
Returns information about a specific file.
$response = $client->files()->retrieve('file-XjGxS3KTG0uNmNOK362iJua3');
$response->id; // 'file-XjGxS3KTG0uNmNOK362iJua3'
$response->object; // 'file'
$response->bytes; // 140
$response->createdAt; // 1613779657
$response->filename; // 'mydata.jsonl'
$response->purpose; // 'fine-tune'
$response->status; // 'succeeded'
$response->status_details; // null
$response->toArray(); // ['id' => 'file-XjGxS3KTG0uNmNOK362iJua3', ...]
Upload a file that contains document(s) to be used across various endpoints/features.
$response = $client->files()->upload([
'purpose' => 'fine-tune',
'file' => fopen('my-file.jsonl', 'r'),
]);
$response->id; // 'file-XjGxS3KTG0uNmNOK362iJua3'
$response->object; // 'file'
$response->bytes; // 140
$response->createdAt; // 1613779657
$response->filename; // 'mydata.jsonl'
$response->purpose; // 'fine-tune'
$response->status; // 'succeeded'
$response->status_details; // null
$response->toArray(); // ['id' => 'file-XjGxS3KTG0uNmNOK362iJua3', ...]
Returns the contents of the specified file.
$client->files()->download($file); // '{"prompt": "<prompt text>", ...'
Creates a job that fine-tunes a specified model from a given dataset.
$response = $client->fineTunes()->create([
'training_file' => 'file-ajSREls59WBbvgSzJSVWxMCB',
'validation_file' => 'file-XjSREls59WBbvgSzJSVWxMCa',
'model' => 'curie',
'n_epochs' => 4,
'batch_size' => null,
'learning_rate_multiplier' => null,
'prompt_loss_weight' => 0.01,
'compute_classification_metrics' => false,
'classification_n_classes' => null,
'classification_positive_class' => null,
'classification_betas' => [],
'suffix' => null,
]);
$response->id; // 'ft-AF1WoRqd3aJAHsqc9NY7iL8F'
$response->object; // 'fine-tune'
// ...
$response->toArray(); // ['id' => 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', ...]
List your organization's fine-tuning jobs.
$response = $client->fineTunes()->list();
$response->object; // 'list'
foreach ($response->data as $result) {
$result->id; // 'ft-AF1WoRqd3aJAHsqc9NY7iL8F'
$result->object; // 'fine-tune'
// ...
}
$response->toArray(); // ['object' => 'list', 'data' => [...]]
Gets info about the fine-tune job.
$response = $client->fineTunes()->retrieve('ft-AF1WoRqd3aJAHsqc9NY7iL8F');
$response->id; // 'ft-AF1WoRqd3aJAHsqc9NY7iL8F'
$response->object; // 'fine-tune'
$response->model; // 'curie'
$response->createdAt; // 1614807352
$response->fineTunedModel; // 'curie => ft-acmeco-2021-03-03-21-44-20'
$response->organizationId; // 'org-jwe45798ASN82s'
$response->resultFiles; // [
$response->status; // 'succeeded'
$response->validationFiles; // [
$response->trainingFiles; // [
$response->updatedAt; // 1614807865
foreach ($response->events as $result) {
$result->object; // 'fine-tune-event'
$result->createdAt; // 1614807352
$result->level; // 'info'
$result->message; // 'Job enqueued. Waiting for jobs ahead to complete. Queue number => 0.'
}
$response->hyperparams->batchSize; // 4
$response->hyperparams->learningRateMultiplier; // 0.1
$response->hyperparams->nEpochs; // 4
$response->hyperparams->promptLossWeight; // 0.1
foreach ($response->resultFiles as $result) {
$result->id; // 'file-XjGxS3KTG0uNmNOK362iJua3'
$result->object; // 'file'
$result->bytes; // 140
$result->createdAt; // 1613779657
$result->filename; // 'mydata.jsonl'
$result->purpose; // 'fine-tune'
$result->status; // 'succeeded'
$result->status_details; // null
}
foreach ($response->validationFiles as $result) {
$result->id; // 'file-XjGxS3KTG0uNmNOK362iJua3'
// ...
}
foreach ($response->trainingFiles as $result) {
$result->id; // 'file-XjGxS3KTG0uNmNOK362iJua3'
// ...
}
$response->toArray(); // ['id' => 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', ...]
Immediately cancel a fine-tune job.
$response = $client->fineTunes()->cancel('ft-AF1WoRqd3aJAHsqc9NY7iL8F');
$response->id; // 'ft-AF1WoRqd3aJAHsqc9NY7iL8F'
$response->object; // 'fine-tune'
// ...
$response->status; // 'cancelled'
// ...
$response->toArray(); // ['id' => 'ft-AF1WoRqd3aJAHsqc9NY7iL8F', ...]
Get fine-grained status updates for a fine-tune job.
$response = $client->fineTunes()->listEvents('ft-AF1WoRqd3aJAHsqc9NY7iL8F');
$response->object; // 'list'
foreach ($response->data as $result) {
$result->object; // 'fine-tune-event'
$result->createdAt; // 1614807352
// ...
}
$response->toArray(); // ['object' => 'list', 'data' => [...]]
Classifies if text violates OpenAI's Content Policy.
$response = $client->moderations()->create([
'model' => 'text-moderation-latest',
'input' => 'I want to k*** them.',
]);
$response->id; // modr-5xOyuS
$response->model; // text-moderation-003
foreach ($response->results as $result) {
$result->flagged; // true
foreach ($result->categories as $category) {
$category->category->value; // 'violence'
$category->violated; // true
$category->score; // 0.97431367635727
}
}
$response->toArray(); // ['id' => 'modr-5xOyuS', ...]
Creates an image given a prompt.
$response = $client->images()->create([
'prompt' => 'A cute baby sea otter',
'n' => 1,
'size' => '256x256',
'response_format' => 'url',
]);
$response->created; // 1589478378
foreach ($response->data as $data) {
$data->url; // 'https://oaidalleapiprodscus.blob.core.windows.net/private/...'
$data->b64_json; // null
}
$response->toArray(); // ['created' => 1589478378, data => ['url' => 'https://oaidalleapiprodscus...', ...]]
Creates an edited or extended image given an original image and a prompt.
$response = $client->images()->edit([
'image' => fopen('image_edit_original.png', 'r'),
'mask' => fopen('image_edit_mask.png', 'r'),
'prompt' => 'A sunlit indoor lounge area with a pool containing a flamingo',
'n' => 1,
'size' => '256x256',
'response_format' => 'url',
]);
$response->created; // 1589478378
foreach ($response->data as $data) {
$data->url; // 'https://oaidalleapiprodscus.blob.core.windows.net/private/...'
$data->b64_json; // null
}
$response->toArray(); // ['created' => 1589478378, data => ['url' => 'https://oaidalleapiprodscus...', ...]]
Creates a variation of a given image.
$response = $client->images()->variation([
'image' => fopen('image_edit_original.png', 'r'),
'n' => 1,
'size' => '256x256',
'response_format' => 'url',
]);
$response->created; // 1589478378
foreach ($response->data as $data) {
$data->url; // 'https://oaidalleapiprodscus.blob.core.windows.net/private/...'
$data->b64_json; // null
}
$response->toArray(); // ['created' => 1589478378, data => ['url' => 'https://oaidalleapiprodscus...', ...]]
OpenAI PHP is an open-sourced software licensed under the MIT license.