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Structured-to-structured processing

Instructor offers a way to use structured data as an input. This is useful when you want to use object data as input and get another object with a result of LLM inference.

The input field of Instructor’s respond() and request() methods can be an object, but also an array or just a string.

<?php
use Cognesy\Instructor\Instructor;

class Email {
    public function __construct(
        public string $address = '',
        public string $subject = '',
        public string $body = '',
    ) {}
}

$email = new Email(
    address: 'joe@gmail',
    subject: 'Status update',
    body: 'Your account has been updated.'
);

$translation = (new Instructor)->respond(
    input: $email,
    responseModel: Email::class,
    prompt: 'Translate the text fields of email to Spanish. Keep other fields unchanged.',
);

assert($translation instanceof Email); // true
dump($translation);
// Email {
//     address: "joe@gmail",
//     subject: "Actualización de estado",
//     body: "Su cuenta ha sido actualizada."
// }
?>