softcreatr/php-mistral-ai-sdk

A powerful and easy-to-use PHP SDK for the Mistral AI API, allowing seamless integration of advanced AI-powered features into your PHP projects.

2.0.0 2024-10-08 08:46 UTC

This package is auto-updated.

Last update: 2024-12-08 09:15:30 UTC


README

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This PHP library provides a simple wrapper for the Mistral API, allowing you to easily integrate the Mistral API into your PHP projects.

Features

  • Easy integration with Mistral API
  • Supports all Mistral API endpoints
  • Streaming support for real-time responses in chat completions
  • Utilizes PSR-17 and PSR-18 compliant HTTP clients and factories for making API requests

Requirements

Installation

You can install the library via Composer:

composer require softcreatr/php-mistral-ai-sdk

Usage

First, include the library in your project:

<?php

require_once 'vendor/autoload.php';

Then, create an instance of the MistralAI class with your API key, organization (optional), an HTTP client, an HTTP request factory, and an HTTP stream factory:

use SoftCreatR\MistralAI\MistralAI;

$apiKey = 'your_api_key';

// Replace these lines with your chosen PSR-17 and PSR-18 compatible HTTP client and factories
$httpClient = new YourChosenHttpClient();
$requestFactory = new YourChosenRequestFactory();
$streamFactory = new YourChosenStreamFactory();
$uriFactory = new YourChosenUriFactory();

$mistral = new MistralAI($requestFactory, $streamFactory, $uriFactory, $httpClient, $apiKey);

Now you can call any supported MistralAI API endpoint using the magic method __call:

$response = $mistral->createChatCompletion([
    'model' => 'mistral-tiny',
    'messages' => [
        [
            'role' => 'user',
            'content' => 'Who is the most renowned French painter?'
        ],
    ],
]);

// Process the API response
if ($response->getStatusCode() === 200) {
    $responseObj = json_decode($response->getBody()->getContents(), true);
    
    print_r($responseObj);
} else {
    echo "Error: " . $response->getStatusCode();
}

Streaming Example

You can enable real-time streaming for chat completions:

$streamCallback = static function ($data) {
    if (isset($data['choices'][0]['delta']['content'])) {
        echo $data['choices'][0]['delta']['content'];
    }
};

$mistral->createChatCompletion([
    'model' => 'mistral-small-latest',
    'messages' => [
        [
            'role' => 'user',
            'content' => 'Tell me a story about a brave knight.',
        ],
    ],
    'stream' => true,
], $streamCallback);

For more details on how to use each endpoint, refer to the Mistral API documentation, and the examples provided in the repository.

Supported Methods

Chat Completions

Embeddings

Models

Files

Fine-Tuning Jobs

FIM Completion

Agents Completion

Changelog

For a detailed list of changes and updates, please refer to the CHANGELOG.md file. We adhere to Semantic Versioning and document notable changes for each release.

Known Problems and Limitations

Streaming Support

Streaming is now supported for real-time token generation in chat completions. Please make sure you are handling streams correctly using a callback, as demonstrated in the examples.

License

This library is licensed under the ISC License. See the LICENSE file for more information.

Maintainers 🛠️

Contributors ✨