README

A powerful Laravel package for AI-powered content transformation using multiple LLM providers with direct Laravel Eloquent model integration.

Transform text content and web URLs into structured data or Laravel models using providers such as OpenAI, Anthropic, Groq, and more, with intelligent caching, automatic schema generation, and robust error handling.

Features

• 🤖 Multi-Provider Support: OpenAI, Anthropic, Groq, Ollama, Gemini, Mistral, DeepSeek, xAI, OpenRouter, VoyageAI, ElevenLabs
• 🚀 Fluent Interface: Chainable methods for intuitive transformation workflows
• 📄 Content Sources: Transform text content directly or fetch from URLs
• ⚡ Intelligent Caching: Multi-layer caching for content fetching and transformation results
• 🛠️ Custom Transformers: Create reusable transformation classes with dependency injection
• 🎯 Laravel Model Output: Direct transformation to Laravel Eloquent models with automatic schema generation
• 🔧 Laravel Integration: Service provider, facades, configuration, and Artisan commands
• ✅ Validation Support: Built-in Laravel validation integration
• 🏗️ Service-Oriented Architecture: Clean separation of concerns with dedicated services
• 🎯 Error Handling: Comprehensive exception system with transformation context
• 📊 Performance Optimized: Efficient algorithms and configurable timeout settings

Installation

Install the package via Composer:

composer require droath/prism-transformer

Publish the configuration file:

php artisan vendor:publish --tag="prism-transformer-config"

Configuration

Requirements

• PHP 8.3+
• Laravel 11.0+ or 12.0+

Environment Variables

Set up your AI provider API keys in your .env file:

# Default provider
PRISM_TRANSFORMER_DEFAULT_PROVIDER=openai

# API Keys
OPENAI_API_KEY=your-openai-api-key
ANTHROPIC_API_KEY=your-anthropic-api-key
GROQ_API_KEY=your-groq-api-key

# Caching (optional)
PRISM_TRANSFORMER_CACHE_ENABLED=true
PRISM_TRANSFORMER_CACHE_TTL_CONTENT=1800
PRISM_TRANSFORMER_CACHE_TTL_TRANSFORMATIONS=3600

Provider Configuration

The package supports multiple AI providers with customizable models and settings:

// config/prism-transformer.php
return [
    'default_provider' => Provider::OPENAI,

    'providers' => [
        'openai' => [
            'default_model' => 'gpt-4o-mini',
            'max_tokens' => 4096,
            'temperature' => 0.7,
        ],
        'anthropic' => [
            'default_model' => 'claude-3-5-haiku-20241022',
            'max_tokens' => 4096,
            'temperature' => 0.7,
        ],
        // ... more providers
    ],
];

Quick Start

Basic Text Transformation

use Droath\PrismTransformer\PrismTransformer;

// Create a simple transformer using a closure
$transformer = new PrismTransformer();

$result = $transformer
    ->text('Hello world!')
    ->using(function($content) {
        return TransformerResult::successful("Transformed: $content");
    })
    ->transform();

echo $result->getContent(); // "Transformed: Hello world!"

Laravel Model Transformation

Transform content directly into Laravel Eloquent models:

use Droath\PrismTransformer\PrismTransformer;
use Droath\PrismTransformer\Abstract\BaseTransformer;
use Illuminate\Database\Eloquent\Model;

class Contact extends Model
{
    protected $fillable = ['name', 'email', 'phone'];
}

class ContactExtractor extends BaseTransformer
{
    public function prompt(): string
    {
        return 'Extract contact information from the text as JSON.';
    }

    protected function outputFormat(): Model
    {
        return new Contact();
    }
}

$result = (new PrismTransformer())
    ->text('John Smith, email: john@example.com, phone: (555) 123-4567')
    ->using(ContactExtractor::class)
    ->transform();

// Convert directly to Laravel model
$contact = $result->toModel(Contact::class);
$contact->save(); // Save to database

echo $contact->name;  // "John Smith"
echo $contact->email; // "john@example.com"

URL Content Transformation

$result = $transformer
    ->url('https://example.com/article')
    ->using($customTransformer)
    ->transform();

Using the Facade

use Droath\PrismTransformer\Facades\PrismTransformer;

$result = PrismTransformer::text('Content to transform')
    ->using($transformer)
    ->transform();

Custom Transformers

Create powerful, reusable transformers by extending BaseTransformer:

Simple Content Summarizer

<?php

use Droath\PrismTransformer\Abstract\BaseTransformer;
use Droath\PrismTransformer\ValueObjects\TransformerResult;

class ArticleSummarizer extends BaseTransformer
{
    public function prompt(): string
    {
        return 'Summarize the following article in 2-3 sentences, focusing on key points:';
    }
}

Usage:

$summarizer = app(ArticleSummarizer::class);

$result = PrismTransformer::url('https://techcrunch.com/article')
    ->using($summarizer)
    ->transform();

if ($result->isSuccessful()) {
    echo $result->getContent();
}

Data Extraction with Laravel Model Output

Transform content directly into Laravel Eloquent models with automatic schema generation:

<?php

use Illuminate\Database\Eloquent\Model;
use Droath\PrismTransformer\Abstract\BaseTransformer;

class User extends Model
{
    protected $fillable = ['name', 'email', 'phone', 'company'];

    protected $casts = [
        'created_at' => 'datetime',
    ];
}

class ContactExtractor extends BaseTransformer
{
    public function prompt(): string
    {
        return 'Extract contact information from the provided text and structure it as user data.';
    }

    protected function outputFormat(): Model
    {
        return new User();
    }
}

Usage:

$extractor = app(ContactExtractor::class);

$businessCard = "John Smith - Senior Developer at TechCorp Inc.
                Email: john.smith@techcorp.com | Phone: (555) 123-4567";

$result = PrismTransformer::text($businessCard)
    ->using($extractor)
    ->transform();

// Convert result directly to Laravel model
$user = $result->toModel(User::class);

echo $user->name;     // "John Smith"
echo $user->email;    // "john.smith@techcorp.com"
echo $user->phone;    // "(555) 123-4567"
echo $user->company;  // "TechCorp Inc."

Traditional Structured Output (Still Supported)

<?php

use Prism\Prism\Schema\ObjectSchema;
use Prism\Prism\Schema\StringSchema;
use Droath\PrismTransformer\Abstract\BaseTransformer;

class ContactExtractor extends BaseTransformer
{
    public function prompt(): string
    {
        return 'Extract contact information from the provided text.';
    }

    protected function outputFormat(): ?ObjectSchema
    {
        return ObjectSchema::create()
            ->properties([
                'name' => StringSchema::create()->description('Full name'),
                'email' => StringSchema::create()->description('Email address'),
                'phone' => StringSchema::create()->description('Phone number'),
                'company' => StringSchema::create()->description('Company name'),
            ])
            ->required(['name']);
    }
}

Real-World Examples

1. Blog Post SEO Optimizer

use Droath\PrismTransformer\Abstract\BaseTransformer;
use Droath\PrismTransformer\Enums\Provider;
use Droath\PrismTransformer\Services\ConfigurationService;
use Droath\PrismTransformer\Services\ModelSchemaService;
use Droath\PrismTransformer\Facades\PrismTransformer;
use Illuminate\Cache\CacheManager;

class SEOOptimizer extends BaseTransformer
{
    private array $keywords;

    public function __construct(
        CacheManager $cache,
        ConfigurationService $configuration,
        ModelSchemaService $modelSchemaService,
        array $keywords = []
    ) {
        parent::__construct($cache, $configuration, $modelSchemaService);
        $this->keywords = $keywords;
    }

    public function prompt(): string
    {
        $keywordsList = implode(', ', $this->keywords);
        return "Optimize the following blog post for SEO. Target keywords: {$keywordsList}.
                Ensure natural keyword integration while maintaining readability.
                Improve meta descriptions, headings, and overall content structure for better search engine ranking.";
    }

    protected function provider(): Provider
    {
        return Provider::OPENAI; // Use OpenAI for content optimization
    }

    protected function model(): string
    {
        return 'gpt-4o-mini'; // Good balance of quality and cost for content work
    }

    protected function temperature(): ?float
    {
        return 0.3; // Lower temperature for more consistent, focused output
    }
}

// Usage - Optimizing a blog post from a URL
$result = PrismTransformer::url('https://blog.example.com/laravel-tips')
    ->using(new SEOOptimizer(
        app(CacheManager::class),
        app(ConfigurationService::class),
        app(ModelSchemaService::class),
        ['Laravel', 'PHP', 'web development', 'framework']
    ))
    ->transform();

if ($result->isSuccessful()) {
    $optimizedPost = $result->getContent();
    $metadata = $result->getMetadata();

    echo "Optimization completed successfully!\n";
    echo "Provider: {$metadata?->provider->value}\n";
    echo "Model: {$metadata?->model}\n";
    echo "Content length: " . strlen($optimizedPost) . " characters\n";

    // Save the optimized content
    file_put_contents('optimized-post.md', $optimizedPost);
} else {
    echo "SEO optimization failed:\n";
    foreach ($result->getErrors() as $error) {
        echo "- {$error}\n";
    }
}

// Alternative: Direct text optimization
$blogContent = "Your existing blog post content here...";

$result = PrismTransformer::text($blogContent)
    ->using(SEOOptimizer::class) // Can also use class name for auto-resolution
    ->transform();

2. Multi-Language Content Translator

class ContentTranslator extends BaseTransformer
{
    public function __construct(
        CacheManager $cache,
        ConfigurationService $configuration,
        ModelSchemaService $modelSchemaService,
        private string $targetLanguage = 'Spanish',
        private bool $maintainFormatting = true
    ) {
        parent::__construct($cache, $configuration, $modelSchemaService);
    }

    public function prompt(): string
    {
        $formatInstruction = $this->maintainFormatting ?
            'Maintain all HTML tags, markdown formatting, and structure.' : '';

        return "Translate the following content to {$this->targetLanguage}.
                Ensure cultural appropriateness and natural language flow. {$formatInstruction}";
    }

    protected function model(): string
    {
        // Use a more capable model for translation tasks
        return 'gpt-4o';
    }

    protected function temperature(): ?float
    {
        // Lower temperature for more consistent translations
        return 0.3;
    }

    private function detectLanguage(string $content): string
    {
        // Simple language detection - in practice, use a proper language detection library
        return 'English'; // Simplified for example
    }
}

// Usage with caching benefits - dependency injection handles constructor parameters
$result = PrismTransformer::url('https://company.com/about')
    ->using(ContentTranslator::class)
    ->transform();

// Or create instance manually for custom parameters
$translator = new ContentTranslator(
    app(CacheManager::class),
    app(ConfigurationService::class),
    app(ModelSchemaService::class),
    'French',
    true
);

$result = PrismTransformer::text('Hello, how are you today?')
    ->using($translator)
    ->transform();

if ($result->isSuccessful()) {
    echo $result->getContent(); // "Bonjour, comment allez-vous aujourd'hui ?"
    $metadata = $result->getMetadata();
    echo "Model used: " . $metadata->model;
    echo "Provider: " . $metadata->provider->value;
}

3. Customer Feedback Analyzer with Laravel Models

Transform customer feedback directly into Laravel models for seamless database integration:

<?php

use Illuminate\Database\Eloquent\Model;
use Droath\PrismTransformer\Abstract\BaseTransformer;

class FeedbackAnalysis extends Model
{
    protected $fillable = [
        'sentiment',
        'sentiment_score',
        'key_issues',
        'priority_level',
        'recommended_actions',
        'categories',
        'confidence_level',
    ];

    protected $casts = [
        'sentiment_score' => 'float',
        'key_issues' => 'array',
        'recommended_actions' => 'array',
        'categories' => 'array',
        'confidence_level' => 'float',
    ];
}

class FeedbackAnalyzer extends BaseTransformer
{
    public function prompt(): string
    {
        return 'Analyze customer feedback and provide structured insights including sentiment, key issues, and recommendations. Format the response as JSON.';
    }

    protected function outputFormat(): Model
    {
        return new FeedbackAnalysis();
    }
}

// Usage - Process feedback and save to database
$analyzer = app(FeedbackAnalyzer::class);
$feedbackEntries = [
    "Product quality has declined significantly. Very disappointed!",
    "Great customer service, quick response time. Very satisfied.",
    "Website is hard to navigate, checkout process is confusing.",
];

foreach ($feedbackEntries as $feedback) {
    $result = PrismTransformer::text($feedback)
        ->using($analyzer)
        ->transform();

    if ($result->isSuccessful()) {
        // Convert to model with validation
        $validationRules = [
            'sentiment' => 'required|in:positive,negative,neutral',
            'sentiment_score' => 'required|numeric|between:-1,1',
            'priority_level' => 'required|in:low,medium,high,urgent',
        ];

        $analysis = $result->toModel(FeedbackAnalysis::class, $validationRules);

        // Save to database
        $analysis->save();

        echo "Sentiment: {$analysis->sentiment} (Score: {$analysis->sentiment_score})\n";
        echo "Priority: {$analysis->priority_level}\n";
        echo "Saved analysis with ID: {$analysis->id}\n\n";
    }
}

Laravel Model Integration

The package provides first-class Laravel Eloquent model integration, allowing you to transform AI responses directly into model instances with automatic schema generation and validation.

Model Output Format

Use the outputFormat() method in your transformers to specify a Laravel model as the expected output:

<?php

use Illuminate\Database\Eloquent\Model;
use Droath\PrismTransformer\Abstract\BaseTransformer;

class Product extends Model
{
    protected $fillable = ['name', 'price', 'category', 'description', 'in_stock'];

    protected $casts = [
        'price' => 'decimal:2',
        'in_stock' => 'boolean',
    ];
}

class ProductExtractor extends BaseTransformer
{
    public function prompt(): string
    {
        return 'Extract product information from the text and format it as structured data.';
    }

    protected function outputFormat(): Model
    {
        return new Product();
    }
}

Schema Generation

The ModelSchemaService automatically converts Laravel model definitions into Prism schemas:

• Fillable attributes become schema properties
• Model casts determine the appropriate schema types
• Type mapping handles Laravel cast types to Prism schema types

Supported Laravel cast types:

• string → StringSchema
• integer, int → NumberSchema
• float, double, decimal → NumberSchema
• boolean, bool → BooleanSchema
• array, json → ArraySchema
• collection → ArraySchema
• date, datetime, timestamp → StringSchema (with ISO 8601 format)

Model Hydration

Transform results can be converted directly to model instances using the toModel() method:

$result = PrismTransformer::text($productDescription)
    ->using(ProductExtractor::class)
    ->transform();

// Convert to model with optional validation
$product = $result->toModel(Product::class, [
    'name' => 'required|string|max:255',
    'price' => 'required|numeric|min:0',
    'category' => 'required|string',
    'in_stock' => 'required|boolean',
]);

// Save to database
$product->save();

Service-Oriented Architecture

The model integration uses a clean service-oriented approach:

• ModelSchemaService: Handles model-to-schema conversion and data-to-model hydration
• Separation of concerns: Model logic is isolated from transformation logic
• Dependency injection: Services are injected via Laravel's container
• Testability: Services can be easily mocked and tested independently

Caching System

The package includes a sophisticated two-layer caching system:

Content Fetch Caching

// Configure in config/prism-transformer.php
'cache' => [
    'ttl' => [
        'content_fetch' => 1800, // 30 minutes for fetched content
        'transformer_data' => 3600, // 1 hour for transformation results
    ],
];

Cache Usage Examples

// First call - fetches and caches URL content and transformation
$result1 = PrismTransformer::url('https://news.site.com/article')
    ->using($summarizer)
    ->transform();

// Second call - uses cached content and transformation
$result2 = PrismTransformer::url('https://news.site.com/article')
    ->using($summarizer)
    ->transform(); // Much faster!

// Different transformer, same URL - uses cached content, new transformation
$result3 = PrismTransformer::url('https://news.site.com/article')
    ->using($translator)
    ->transform(); // Faster content fetch, new transformation

Content Fetchers

Customize how content is retrieved from URLs:

use Droath\PrismTransformer\ContentFetchers\BasicHttpFetcher;

$customFetcher = new BasicHttpFetcher([
    'timeout' => 60,
    'user_agent' => 'MyApp/1.0',
    'headers' => [
        'Authorization' => 'Bearer ' . $token,
    ],
]);

$result = PrismTransformer::url('https://api.example.com/data', $customFetcher)
    ->using($dataProcessor)
    ->transform();

Error Handling

The package provides comprehensive error handling:

$result = PrismTransformer::text('problematic content')
    ->using($complexTransformer)
    ->transform();

if ($result->isSuccessful()) {
    $content = $result->getContent();
    $metadata = $result->getMetadata();
} else {
    $error = $result->getError();
    Log::error("Transformation failed: {$error}");

    // Handle different types of failures
    if (str_contains($error, 'rate limit')) {
        // Implement retry logic
    } elseif (str_contains($error, 'timeout')) {
        // Handle timeout
    }
}

Exception Types

• TransformerException: General transformation errors
• FetchException: Content fetching failures
• ValidationException: Input validation errors
• InvalidInputException: Invalid input data
• UnsupportedTypeException: Unsupported content types

Testing

Run the test suite:

composer test

# Run specific test files
vendor/bin/pest tests/Feature/TransformationPipelineIntegrationTest.php

# Run with coverage
vendor/bin/pest --coverage

Testing Your Transformers

use Droath\PrismTransformer\PrismTransformer;
use Prism\Prism\Prism;
use Prism\Prism\Testing\StructuredResponseFake;
use Prism\Prism\ValueObjects\Usage;
use Tests\TestCase;

class ArticleSummarizerTest extends TestCase
{
    public function test_summarizes_article_successfully()
    {
        $summarizer = app(ArticleSummarizer::class);

        $content = "Long article content here...";

        $result = (new PrismTransformer())
            ->text($content)
            ->using($summarizer)
            ->transform();

        expect($result->isSuccessful())->toBeTrue();
        expect($result->getContent())->toBeString();
        expect(strlen($result->getContent()))->toBeLessThan(strlen($content));
    }

    public function test_transforms_to_model_with_validation()
    {
        // Mock the AI response
        $fakeResponse = StructuredResponseFake::make()
            ->withStructured([
                'name' => 'John Doe',
                'email' => 'john@example.com',
                'age' => 30,
                'is_active' => true
            ])
            ->withUsage(new Usage(10, 20));

        Prism::fake([$fakeResponse]);

        $transformer = app(UserExtractor::class);

        $result = (new PrismTransformer())
            ->text('Extract user: John Doe, email john@example.com, age 30, active')
            ->using($transformer)
            ->transform();

        expect($result->isSuccessful())->toBeTrue();

        // Test model conversion with validation
        $user = $result->toModel(User::class, [
            'name' => 'required|string',
            'email' => 'required|email',
            'age' => 'required|integer|min:18'
        ]);

        expect($user)->toBeInstanceOf(User::class);
        expect($user->name)->toBe('John Doe');
        expect($user->email)->toBe('john@example.com');
        expect($user->age)->toBe(30);
        expect($user->is_active)->toBeTrue();
    }
}

Performance Optimization

Best Practices

1. Use Caching: Enable caching for repeated transformations
2. Choose Appropriate Models: Use smaller models for simple tasks
3. Batch Processing: Process multiple items efficiently
4. Set Reasonable Timeouts: Configure appropriate timeout values

// Efficient batch processing
$transformer = app(ContentClassifier::class);
$items = collect($largeDataSet)
    ->chunk(10) // Process in chunks
    ->map(function ($chunk) use ($transformer) {
        return $chunk->map(function ($item) use ($transformer) {
            return PrismTransformer::text($item)
                ->using($transformer)
                ->transform();
        });
    })
    ->flatten();

Artisan Commands

The package includes helpful Artisan commands:

# Clear transformation cache
php artisan prism-transformer:cache:clear

# Test provider connectivity
php artisan prism-transformer:test-providers

# Generate a custom transformer class
php artisan make:prism-transformer BlogSummarizer

Advanced Configuration

Multiple Provider Setup

// Use different providers for different tasks
class MultiProviderTransformer extends BaseTransformer
{
    public function provider(): Provider
    {
        // Use Anthropic for analysis, OpenAI for generation
        return $this->isAnalysisTask ? Provider::ANTHROPIC : Provider::OPENAI;
    }
}

Custom Cache Stores

// config/prism-transformer.php
'cache' => [
    'store' => 'redis', // Use Redis for better performance
    'prefix' => 'prism_v2',
],

Contributing

Please see CONTRIBUTING for details on how to contribute to this package.

Security

If you discover any security-related issues, please contact us directly instead of using the issue tracker.

Credits

• Travis Tomka
• All Contributors

License

The MIT License (MIT). Please see License File for more information.