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openai-compatible driver extracts reasoning returned in the assistant
message’s reasoning_content field. This also works for an application model
that has no bundled catalog record because reading response content does not
require a typed reasoning selection.
Set OPENAI_COMPATIBLE_API_URL, OPENAI_COMPATIBLE_API_KEY, and
OPENAI_COMPATIBLE_MODEL for your backend. The live example otherwise uses
DeepSeek through its OpenAI-compatible endpoint.
<?php
require 'examples/boot.php';
use Cognesy\Config\Env;
use Cognesy\Messages\Messages;
use Cognesy\Polyglot\Inference\Config\LLMConfig;
use Cognesy\Polyglot\Inference\Inference;
use Cognesy\Utils\Str;
$customApiUrl = (string) Env::get('OPENAI_COMPATIBLE_API_URL', '');
$usesCustomEndpoint = $customApiUrl !== '';
$apiUrl = $usesCustomEndpoint ? $customApiUrl : 'https://api.deepseek.com';
$apiKey = (string) Env::get(
'OPENAI_COMPATIBLE_API_KEY',
$usesCustomEndpoint ? 'local' : Env::get('DEEPSEEK_API_KEY', ''),
);
$model = (string) Env::get(
'OPENAI_COMPATIBLE_MODEL',
$usesCustomEndpoint ? 'local-reasoner' : 'deepseek-v4-flash',
);
$config = new LLMConfig(
apiUrl: $apiUrl,
apiKey: $apiKey,
endpoint: '/chat/completions',
model: $model,
maxTokens: 128,
driver: 'openai-compatible',
);
$response = Inference::fromConfig($config)
->withMessages(Messages::fromString(
'What is the capital of France? Answer with just the city name.',
))
->response();
$message = $response->message();
echo "ASSISTANT: {$message->content()->toString()}\n";
echo "REASONING: {$message->reasoningContent()}\n";
assert(Str::contains($message->content()->toString(), 'Paris'));
assert($message->reasoningContent() !== '');
?>