lucianotonet/groq-php

PHP library to access Groq REST API

0.0.10 2024-10-29 21:45 UTC

Requires

• php: ^8.1.0
• guzzlehttp/guzzle: ^7.9
• vlucas/phpdotenv: ^5.6

Requires (Dev)

• phpunit/phpunit: ^11.3

MIT

• Luciano Tonet

README

A powerful PHP library for seamless integration with the Groq API. This library simplifies interactions with Groq, allowing developers to effortlessly leverage its advanced language models, audio processing and vision capabilities.

Using on Laravel? Check this out: GroqLaravel

Installation

composer require lucianotonet/groq-php

Configuration

Obtain your API key from the Groq Console and set it as an environment variable:

GROQ_API_KEY=your_key_here

Usage

Initialize the Groq client:

use LucianoTonet\GroqPHP\Groq;

$groq = new Groq();

You can also pass the API key directly to the constructor:

$groq = new Groq('your_key_here');

Configuration

You can set all configuration options via the constructor:

$groq = new Groq([
    'apiKey' => 'your_key_here',
    'temperature' => 0.5,
    // ...
]);

Or using the setConfig method at any time:

$groq = new Groq();

$groq->setConfig([
    'apiKey' => 'another_key_here',
    'max_tokens' => 1024,
    // ...
]);

Listing Models

Retrieve a list of available models:

$models = $groq->models()->list();

foreach ($models['data'] as $model) {
    echo 'Model ID: ' . $model['id'] . PHP_EOL;
    echo 'Developer: ' . $model['owned_by'] . PHP_EOL;
    echo 'Context Window: ' . $model['context_window'] . PHP_EOL;
}

Chat Capabilities

Basic Chat

Send a chat completion request:

$response = $groq->chat()->completions()->create([
    'model' => 'llama3-8b-8192',
    'messages' => [
        [
            'role' => 'user',
            'content' => 'Explain the importance of low latency LLMs'
        ]
    ],
]);

echo $response['choices'][0]['message']['content']; // "Low latency LLMs are important because ..."

Streaming Chat

Stream a chat completion response:

$response = $groq->chat()->completions()->create([
    'model' => 'mixtral-8x7b-32768',
    'messages' => [
        [
            'role' => 'user',
            'content' => $message
        ]
    ],
    'stream' => true
]);

foreach ($response->chunks() as $chunk) {
    if (isset($chunk['choices'][0]['delta']['content'])) {
        echo $chunk['choices'][0]['delta']['content'];
        ob_flush();
        flush();
    }
}

Tool Calling

Utilize tools in chat completions:

$tools = [
    [
        "type" => "function",
        "function" => [
            "name" => "calendar_tool",
            "description" => "Gets the current time in a specific format.",
            "parameters" => [
                "type" => "object",
                "properties" => [
                    "format" => [
                        "type" => "string",
                        "description" => "The format of the time to return."
                    ],
                ],
                "required" => ["format"],
                "default" => ["format" => "d-m-Y"]
            ],
        ]
    ],
    [
        "type" => "function",
        "function" => [
            "name" => "weather_tool",
            "description" => "Gets the current weather conditions of a location.",
            "parameters" => [
                "type" => "object",
                "properties" => [
                    "location" => [
                        "type" => "string",
                        "description" => "Location to get weather information."
                    ],
                ],
                "required" => ["location"],
                "default" => ["location" => "New York"]
            ],
        ]
    ],
    // Other tools...
];

// First inference...
 // Start of Selection
$response = $groq->chat()->completions()->create([
    'model' => 'mixtral-8x7b-32768',
    'messages' => $messages,
    "tool_choice" => "auto",
    "tools" => $tools
]);

foreach ($response['choices'][0]['message']['tool_calls'] as $tool_call) {
    $function_args = json_decode($tool_call['function']['arguments'], true);
    
    // Call the tool...
    $function_name = $tool_call['function']['name'];
    if (function_exists($function_name)) {
        $function_response = $function_name($function_args);
    } else {
        $function_response = "Function $function_name not defined.";
    }

    $messages[] = [
        'tool_call_id' => $tool_call['id'],
        'role' => 'tool',
        'name' => $function_name,
        'content' => $function_response,
    ];
}

// Build final response...
$response = $groq->chat()->completions()->create([
    'model' => 'mixtral-8x7b-32768',
    'messages' => $messages
]);


echo $response['choices'][0]['message']['content'];

JSON Mode

Request a JSON object as the response format:

use LucianoTonet\GroqPHP\GroqException;

try {
    $response = $groq->chat()->completions()->create([
        'model' => 'mixtral-8x7b-32768',
        'messages' => [
            [
                'role' => 'system',
                'content' => "You are an API and shall respond only with valid JSON.",
            ],
            [
                'role' => 'user',
                'content' => 'Explain the importance of low latency LLMs',
            ],
        ],
        'response_format' => ['type' => 'json_object']
    ]);

    $jsonResponse = json_decode($response['choices'][0]['message']['content'], true);

    // Accessing the JSON response
    print_r($jsonResponse); 

} catch (GroqException $err) {
    echo $err->getCode() . "<br>"; 
    echo $err->getMessage() . "<br>";    
    echo $err->getType() . "<br>";           

    if($err->getFailedGeneration()) {
        print_r($err->getFailedGeneration());
    }
}

Audio Transcription

Transcribe audio content:

$transcription = $groq->audio()->transcriptions()->create([
    'file' => '/path/to/audio/file.mp3',
    'model' => 'whisper-large-v3',
    'response_format' => 'json',
    'language' => 'en',
    'prompt' => 'Optional transcription prompt'
]);

echo json_encode($transcription, JSON_PRETTY_PRINT);

Audio Translation

Translate audio content:

$translation = $groq->audio()->translations()->create([
    'file' => '/path/to/audio/file.mp3',
    'model' => 'whisper-large-v3',
    'response_format' => 'json',
    'prompt' => 'Optional translation prompt'
]);

echo json_encode($translation, JSON_PRETTY_PRINT);

Vision Capabilities

Analyze an image with a prompt:

$analysis = $groq->vision()->analyze('/path/to/your/image.jpg', 'Describe this image');

echo $analysis['choices'][0]['message']['content'];

Error Handling

Handle potential errors gracefully:

use LucianoTonet\GroqPHP\GroqException;

try {
    $response = $groq->chat()->completions()->create([
        'model' => 'mixtral-8x7b-32768',
        'messages' => [
            [
                'role' => 'user',
                'content' => 'Hello, world!'
            ]
        ]
    ]);
} catch (GroqException $err) {
    echo "<strong>Error code:</strong> " . $err->getCode() . "<br>"; // e.g., 400
    echo "<strong>Message:</strong> " . $err->getMessage() . "<br>";    // Detailed error description
    echo "<strong>Type:</strong> " . $err->getType() . "<br>";           // e.g., invalid_request_error
    echo "<strong>Headers:</strong><br>"; 
    print_r($err->getHeaders()); // ['server' => 'nginx', ...]
}

Timeouts

Global Timeout Configuration

Set a global timeout for all requests (in milliseconds):

$groq = new Groq([
    'timeout' => 20 * 1000, // 20 seconds
]);

Per-Request Timeout

Specify a timeout for a specific request (in milliseconds):

$groq->chat()->completions()->create([
    'model' => 'mixtral-8x7b-32768',
    'messages' => [
        [
            'role' => 'user',
            'content' => 'Hello, world!'
        ]
    ],
], ['timeout' => 5 * 1000]); // 5 seconds

Semantic Versioning

This package follows SemVer conventions. However, backward-incompatible changes might be released under minor versions in the following cases:

1. Changes that only affect static types and do not impact runtime behavior.
2. Modifications to internal library components that are technically public but not intended for external use. (Please submit a GitHub issue if you rely on such internals).
3. Changes that are not expected to affect most users in practical scenarios.

Requirements