<?php
require 'examples/boot.php';
use Cognesy\Instructor\StructuredOutput;
use Cognesy\Instructor\StructuredOutputRuntime;
use Cognesy\Logging\Filters\LogLevelFilter;
use Cognesy\Logging\Formatters\MessageTemplateFormatter;
use Cognesy\Logging\Pipeline\LoggingPipeline;
use Cognesy\Logging\Writers\PsrLoggerWriter;
use Cognesy\Polyglot\Inference\LLMProvider;
use Monolog\Handler\StreamHandler;
use Monolog\Logger;
// Create PSR-3 logger
$logger = new Logger('instructor');
$logger->pushHandler(new StreamHandler('php://stdout', Logger::DEBUG));
// Create logging pipeline - filters to only StructuredOutput events
$pipeline = LoggingPipeline::create()
->filter(new LogLevelFilter('debug'))
->format(new MessageTemplateFormatter([
\Cognesy\Instructor\Events\StructuredOutput\StructuredOutputStarted::class =>
'🎯 [PSR-3] Starting extraction: {responseClass}',
\Cognesy\Instructor\Events\StructuredOutput\StructuredOutputResponseGenerated::class =>
'✅ [PSR-3] Completed extraction: {responseClass}',
], channel: 'instructor'))
->write(new PsrLoggerWriter($logger))
->build();
echo "📋 About to demonstrate PSR-3 logging with functional pipeline...\n\n";
echo "🚀 Starting StructuredOutput extraction...\n";
class User
{
public int $age;
public string $name;
}
// Extract data with logging
$runtime = StructuredOutputRuntime::fromProvider(LLMProvider::using('openai'))
->wiretap($pipeline);
$user = (new StructuredOutput($runtime))
->withMessages("Jason is 25 years old.")
->withResponseClass(User::class)
->get();
echo "\n✅ Extraction completed!\n";
echo "📊 Result: User: {$user->name}, Age: {$user->age}\n";
assert($user->name === 'Jason');
assert($user->age === 25);
// TODO: Add "Sample Output" section showing actual log messages
// Example format:
// ### Sample Output
// [2025-12-07T01:18:13.475202+00:00] instructor.DEBUG: 🎯 [PSR-3] Starting extraction: User
// [2025-12-07T01:18:14.659417+00:00] instructor.DEBUG: ✅ [PSR-3] Completed extraction: User
?>
