Llm logging laravel embeddings

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

use Cognesy\Events\Dispatchers\EventDispatcher;
use Cognesy\Logging\Enrichers\LazyEnricher;
use Cognesy\Logging\Filters\LogLevelFilter;
use Cognesy\Logging\Formatters\MessageTemplateFormatter;
use Cognesy\Logging\Pipeline\LoggingPipeline;
use Cognesy\Logging\Writers\PsrLoggerWriter;
use Cognesy\Polyglot\Embeddings\Config\EmbeddingsConfig;
use Cognesy\Polyglot\Embeddings\Embeddings;
use Cognesy\Polyglot\Embeddings\EmbeddingsRuntime;
use Illuminate\Http\Request;
use Monolog\Handler\StreamHandler;
use Monolog\Logger;

// Mock Laravel request
$request = Request::create('/api/embeddings');
$request->headers->set('X-Request-ID', 'req_'.uniqid());

// Create logger
$logger = new Logger('embeddings');
$logger->pushHandler(new StreamHandler('php://stdout', Logger::DEBUG));

// Create pipeline with Laravel context
$pipeline = LoggingPipeline::create()
    ->filter(new LogLevelFilter('debug'))
    ->enrich(LazyEnricher::framework(fn () => [
        'request_id' => $request->headers->get('X-Request-ID'),
    ]))
    ->format(new MessageTemplateFormatter([
        \Cognesy\Polyglot\Embeddings\Events\EmbeddingsRequested::class => '🔤 Embeddings requested: {provider}/{model} (Request: {framework.request_id})',
        \Cognesy\Polyglot\Embeddings\Events\EmbeddingsResponseReceived::class => '✅ Embeddings generated: {dimensions}D vectors',
    ], channel: 'embeddings'))
    ->write(new PsrLoggerWriter($logger))
    ->build();

echo "📋 About to demonstrate Embeddings logging with Laravel context...\n\n";

// Attach wiretap listener to the runtime event bus
$events = new EventDispatcher;
$events->wiretap($pipeline);

$embeddings = Embeddings::fromRuntime(
    EmbeddingsRuntime::fromConfig(config: EmbeddingsConfig::fromPreset('openai'), events: $events)
);

echo "🚀 Starting Embeddings generation...\n";
$vectors = $embeddings
    ->withInputs([
        'The quick brown fox',
        'Jumps over the lazy dog',
    ])
    ->get();

echo "\n✅ Embeddings completed!\n";
echo '📊 Generated '.count($vectors->vectors())." embedding vectors\n";
echo '📊 Vector dimensions: '.count($vectors->first()?->values() ?? [])."\n";

assert(!empty($vectors->vectors()));
assert(count($vectors->first()->values()) > 0);

// TODO: Add "Sample Output" section showing actual log messages
// Example format:
// ### Sample Output
// 📋 About to demonstrate Embeddings logging with Laravel...
// 🚀 Starting Embeddings request...
// [2025-12-07 01:18:13] embeddings.DEBUG: 🔄 [Laravel] Embeddings requested: openai/text-embedding-3-small
// [2025-12-07 01:18:14] embeddings.DEBUG: ✅ [Laravel] Embeddings completed: openai/text-embedding-3-small
// ✅ Embeddings completed!
// 📊 Generated 2 embedding vectors
// 📊 Vector dimensions: 1536
?>