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Introduction to LLM Magic

LLM Magic is a powerful PHP SDK for Laravel that enables you to work with Large Language Models (LLMs) using just a few lines of code. It provides a developer-friendly interface for interacting with multiple LLM providers and extracting structured data from various file formats.
This project is still in development and not yet publicly released. The API may change!

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Key Features

Simple Question Answering Ask questions and get instant answers with a single line of code using Magic::ask(). Multi-Provider Support Connect to multiple LLM providers including OpenAI, Anthropic, Google Gemini, Mistral, OpenRouter, TogetherAI, and more. Advanced Chat Conversations Build complex conversations with multi-modal inputs (text, images), tool calling, and streaming responses. Structured Data Extraction Extract validated JSON data from PDFs, Word documents, images, and other file formats with multiple extraction strategies. Function Calling & Tools Create custom tools and functions that LLMs can call during conversations, enabling dynamic interactions with your application. Embeddings Support Generate and work with text embeddings for semantic search, similarity matching, and more. Streaming Responses Stream LLM responses in real-time for better user experience.

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Quick Example

use Mateffy\Magic;

// Simple question answering
$answer = Magic::ask('What is the capital of France?');
// -> "The capital of France is Paris."

// Advanced chat with streaming
$response = Magic::chat()
    ->model('google/gemini-2.0-flash-lite')
    ->prompt('What is the capital of France?')
    ->stream()
    ->text();

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Getting Started

Explore the documentation to learn how to use LLM Magic in your Laravel application:

Installation

Install LLM Magic via Composer and configure your environment

Quick Start

Get up and running with your first LLM interactions

Configuration

Configure models, API keys, and advanced settings

Chat API

Learn about building conversations with LLMs

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License

LLM Magic is made by Lukas Mateffy and is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0). For commercial licensing, please contact [email protected].

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