​
Changing LLM model and options

You can specify model and other options that will be passed to OpenAI / LLM endpoint.

<?php

$person = (new Instructor)->respond(

    messages: [['role' => 'user', 'content' => $text]],

    responseModel: Person::class,

    model: 'gpt-3.5-turbo',

    options: [

        // custom temperature setting

        'temperature' => 0.0

        // ... other options

    ],

);

​
Providing custom client

You can pass a custom configured instance of client to the Instructor. This allows you to specify your own API key, base URI or organization.

<?php

use Cognesy\Instructor\Features\LLM\Data\LLMConfig;

use Cognesy\Instructor\Features\LLM\Drivers\OpenAIDriver;

use Cognesy\Instructor\Instructor;



// Create instance of OpenAI client initialized with custom parameters

$driver = new OpenAIDriver(new LLMConfig(

    apiUrl: 'https://api.openai.com/v1', // you can change base URI

    apiKey: $yourApiKey,

    endpoint: '/chat/completions',

    metadata: ['organization' => ''],

    model: 'gpt-4o-mini',

    maxTokens: 128,

));



/// Get Instructor with the default client component overridden with your own

$instructor = (new Instructor)->withDriver($driver);



$person = $instructor->respond(

    messages: [['role' => 'user', 'content' => $text]],

    responseModel: Person::class,

    model: 'gpt-3.5-turbo',

    options: ['temperature' => 0.0],

);
DemonstrationsPartials