PHP code example of lzhx00 / laravel-llm-client

1. Go to this page and download the library: Download lzhx00/laravel-llm-client library. Choose the download type require.

2. Extract the ZIP file and open the index.php.

3. Add this code to the index.php. 
    
        
<?php
require_once('vendor/autoload.php');

/* Start to develop here. Best regards https://php-download.com/ */

lzhx00 / laravel-llm-client example snippets


'providers' => [
    // ...
    Lzhx00\LLMClient\LLMClientServiceProvider::class,
],

'aliases' => [
    // ...
    'LLMClient' => Lzhx00\LLMClient\Facades\LLMClient::class,
],


return [
    'default' => env('LLM_DEFAULT_PROVIDER', 'openai'),
    'providers' => [
        'openai' => [
            'api_key' => env('OPENAI_API_KEY'),
            'default_model' => 'gpt-3.5-turbo',
            'embedding_model' => 'text-embedding-3-small',
            'options' => [
                'temperature' => 0.7,
                // ...other OpenAI-specific options
            ],
        ],
        'ollama' => [
            'base_url' => env('OLLAMA_BASE_URL', 'http://localhost:11434'),
            'default_model' => 'llama3',
            'embedding_model' => 'nomic-embed-text',
            'options' => [
                'temperature' => 0.5,
                // ...other Ollama-specific options
            ],
        ],
        // ...other providers
    ],
];


$response = LLMClient::generate('Say hello in English.');


$response = LLMClient::use('ollama')->generate('Say hello in English.');


$response = LLMClient::model('llama3')->with(['temperature' => 0.5])->generate('Say hello.');


$vector = LLMClient::use('ollama')->embed('hello world');

// Specify embedding model 
$vector = LLMClient::embedModel('nomic-embed-text')->embed('hello world');


LLMClient::generateStream('Tell me a joke.', [], function($chunk) {
    echo $chunk;
});


$models = LLMClient::use('gemini')->models();

bash
php artisan vendor:publish --tag=llm-client-config