Working directly with LLMs

<?php
require 'examples/boot.php';

use Cognesy\Polyglot\Inference\Inference;
use Cognesy\Utils\Str;

// EXAMPLE 1: use default runtime configuration for convenient ad-hoc calls
$answer = Inference::using('openai')
    ->with(messages: 'What is capital of Germany')
    ->get();

echo "USER: What is capital of Germany\n";
echo "ASSISTANT: $answer\n\n";
assert(Str::contains($answer, 'Berlin'));




// EXAMPLE 2: customize inference options using fluent API
$response = Inference::using('openai')
    ->withMessages([['role' => 'user', 'content' => 'What is capital of France']])
    ->withOptions(['max_tokens' => 64])
    ->create();

$answer = $response->get();
echo "USER: What is capital of France\n";
echo "ASSISTANT: $answer\n\n";
assert(Str::contains($answer, 'Paris'));




// EXAMPLE 3: streaming response
$stream = Inference::using('openai')
    ->withMessages([['role' => 'user', 'content' => 'Describe capital of Brasil']])
    ->withOptions(['max_tokens' => 128])
    ->withStreaming()
    ->stream()
    ->responses();

echo "USER: Describe capital of Brasil\n";
echo "ASSISTANT: ";
foreach ($stream as $partial) {
    echo $partial->contentDelta;
}
echo "\n";
?>