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<?php
declare(strict_types=1);
namespace OpenAI;
use OpenAI\Contracts\ClientContract;
use OpenAI\Contracts\Resources\RealtimeContract;
use OpenAI\Contracts\Resources\ThreadsContract;
use OpenAI\Contracts\Resources\VectorStoresContract;
use OpenAI\Contracts\TransporterContract;
use OpenAI\Resources\Assistants;
use OpenAI\Resources\Audio;
use OpenAI\Resources\Batches;
use OpenAI\Resources\Chat;
use OpenAI\Resources\Completions;
use OpenAI\Resources\Containers;
use OpenAI\Resources\Conversations;
use OpenAI\Resources\Edits;
use OpenAI\Resources\Embeddings;
use OpenAI\Resources\Files;
use OpenAI\Resources\FineTunes;
use OpenAI\Resources\FineTuning;
use OpenAI\Resources\Images;
use OpenAI\Resources\Models;
use OpenAI\Resources\Moderations;
use OpenAI\Resources\Realtime;
use OpenAI\Resources\Responses;
use OpenAI\Resources\Threads;
use OpenAI\Resources\VectorStores;
final class Client implements ClientContract
{
/**
* Creates a Client instance with the given API token.
*/
public function __construct(private readonly TransporterContract $transporter)
{
// ..
}
/**
* Manage responses to assist models with tasks.
*
* @see https://platform.openai.com/docs/api-reference/responses
*/
public function responses(): Responses
{
return new Responses($this->transporter);
}
/**
* Create and manage conversations to store and retrieve conversation state across Response API calls.
*
* @see https://platform.openai.com/docs/api-reference/conversations
*/
public function conversations(): Conversations
{
return new Conversations($this->transporter);
}
/**
* Given a prompt, the model will return one or more predicted completions, and can also return the probabilities
* of alternative tokens at each position.
*
* @see https://platform.openai.com/docs/api-reference/completions
*/
public function completions(): Completions
{
return new Completions($this->transporter);
}
/**
* Given a chat conversation, the model will return a chat completion response.
*
* @see https://platform.openai.com/docs/api-reference/chat
*/
public function chat(): Chat
{
return new Chat($this->transporter);
}
/**
* Create and manage containers for use with the Code Interpreter tool.
*
* @see https://platform.openai.com/docs/api-reference/containers
*/
public function containers(): Containers
{
return new Containers($this->transporter);
}
/**
* Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
*
* @see https://platform.openai.com/docs/api-reference/embeddings
*/
public function embeddings(): Embeddings
{
return new Embeddings($this->transporter);
}
/**
* Learn how to turn audio into text.
*
* @see https://platform.openai.com/docs/api-reference/audio
*/
public function audio(): Audio
{
return new Audio($this->transporter);
}
/**
* Given a prompt and an instruction, the model will return an edited version of the prompt.
*
* @see https://platform.openai.com/docs/api-reference/edits
*/
public function edits(): Edits
{
return new Edits($this->transporter);
}
/**
* Files are used to upload documents that can be used with features like Fine-tuning.
*
* @see https://platform.openai.com/docs/api-reference/files
*/
public function files(): Files
{
return new Files($this->transporter);
}
/**
* List and describe the various models available in the API.
*
* @see https://platform.openai.com/docs/api-reference/models
*/
public function models(): Models
{
return new Models($this->transporter);
}
/**
* Manage fine-tuning jobs to tailor a model to your specific training data.
*
* @see https://platform.openai.com/docs/api-reference/fine-tuning
*/
public function fineTuning(): FineTuning
{
return new FineTuning($this->transporter);
}
/**
* Manage fine-tuning jobs to tailor a model to your specific training data.
*
* @see https://platform.openai.com/docs/api-reference/fine-tunes
* @deprecated OpenAI has deprecated this endpoint and will stop working by January 4, 2024.
* https://openai.com/blog/gpt-3-5-turbo-fine-tuning-and-api-updates#updated-gpt-3-models
*/
public function fineTunes(): FineTunes
{
return new FineTunes($this->transporter);
}
/**
* Given an input text, outputs if the model classifies it as violating OpenAI's content policy.
*
* @see https://platform.openai.com/docs/api-reference/moderations
*/
public function moderations(): Moderations
{
return new Moderations($this->transporter);
}
/**
* Given a prompt and/or an input image, the model will generate a new image.
*
* @see https://platform.openai.com/docs/api-reference/images
*/
public function images(): Images
{
return new Images($this->transporter);
}
/**
* Build assistants that can call models and use tools to perform tasks.
*
* @see https://platform.openai.com/docs/api-reference/assistants
*/
public function assistants(): Assistants
{
return new Assistants($this->transporter);
}
/**
* Communicate with a model in real time using WebRTC or WebSockets.
*
* @see https://platform.openai.com/docs/api-reference/realtime
*/
public function realtime(): RealtimeContract
{
return new Realtime($this->transporter);
}
/**
* Create threads that assistants can interact with.
*
* @see https://platform.openai.com/docs/api-reference/threads
*/
public function threads(): ThreadsContract
{
return new Threads($this->transporter);
}
/**
* Create large batches of API requests for asynchronous processing. The Batch API returns completions within 24 hours.
*
* @see https://platform.openai.com/docs/api-reference/batch
*/
public function batches(): Batches
{
return new Batches($this->transporter);
}
/**
* Create and update vector stores that assistants can interact with
*
* @see https://platform.openai.com/docs/api-reference/vector-stores
*/
public function vectorStores(): VectorStoresContract
{
return new VectorStores($this->transporter);
}
}