4 AI Packages for Laravel

Artificial Intelligence is redefining how Laravel developers build modern applications. From intelligent chatbots and predictive analytics to automated content generation, AI integrations are now easier than ever (thanks to several open-source and community-driven Laravel packages).

In this article, we’ll explore the top 4 AI packages for Laravel, their capabilities, and how they can help you add intelligence to your next project.

1. Prism: The Unified Laravel AI Package

• 🌐 Website: https://prismphp.com
• 📦 Source: Laravel News — Prism AI

Overview

Prism is a flexible, developer-focused package that connects Laravel with major AI providers like OpenAI, Anthropic, and Ollama. It follows familiar Laravel conventions, providing a uniform and fluent API for complex tasks like prompt engineering, streaming, and generating structured JSON output. It is the ideal choice for developers who prioritize multi-provider flexibility and clean syntax.

Example Use Cases

• A/B Testing AI Models: Easily test performance and cost-effectiveness by swapping GPT-4 for Claude-3 or a local Ollama model using the same code interface.
• Content Generation Pipeline: Automatically generate SEO-optimized meta descriptions and titles, ensuring the output is always a clean JSON object using structured output features.
• Customer Support Triage: Use Prism’s text summarization to quickly condense long customer emails into dashboard snippets.

Key Features

• Multi-Provider Support: First-class support for providers like OpenAI, Anthropic, Groq, Mistral, and more.
• Fluent API: Use expressive methods like Prism::text()->withSystemPrompt(...) that feel natural in Laravel.
• Structured Output: Define response schemas using JSON schema to guarantee clean, predictable data for reliable parsing.
• Caching & Streaming: Built-in tools for caching expensive AI calls and streaming responses for real-time UIs.

2. LarAgent: Build Your Own AI Agents

• 🌐 Website: https://laragent.ai
• 📦 Source: LarAgent Documentation

Overview

LarAgent empowers developers to define and run sophisticated AI Agents within their Laravel applications, mirroring the simplicity of creating Eloquent models. These agents can maintain conversation history (memory), utilize custom functions (tools) to interact with the application database or external APIs, and execute complex, multi-step workflows based on user input. It is the premier choice for building intelligent conversational interfaces and automation systems.

Example Use Cases

• Recruitment Agent: An agent that analyzes a submitted CV (using a tool to read the document) and then queries the database (using another tool) to find matching job descriptions.
• Context-Aware Chatbot: A support bot that remembers a user’s previous questions and preferences for a seamless, continuous conversation flow.
• Internal Automation: An agent that monitors a Slack channel, determines the severity of a reported issue, and automatically creates a Jira ticket using its internal “create-jira-issue” tool.

Key Features

• Agent Classes: Define agents using dedicated classes and Artisan commands (make:agent).
• Memory Persistence: Built-in management of conversation history and context.
• Tool-Use Abstraction: Simple attribute or method definitions to grant the agent access to application functions.
• Structured Outputs: Request output in specific JSON formats for reliable back-end consumption.

3. Laravel AI Toolkit: The Lightweight Starter

📦 GitHub: https://github.com/endritvs/laravel-ai-toolkit

Overview

The Laravel AI Toolkit is an excellent entry point for quick LLM integration. It emphasizes speed and simplicity, making it perfect for single-purpose features like content editing, translation, or generating quick summaries. It avoids the heavy abstraction of a full-fledged agent framework, focusing instead on directly connecting to popular APIs (OpenAI, Anthropic) with minimal boilerplate.

Example Use Cases

• Inline Text Editing: A simple function to rephrase a sentence or correct grammar directly within a CMS text editor.
• Automated Translation: Translating user-submitted content before saving it to the database.
• Quick Fact Checking: Sending a small prompt to the model to verify a piece of data submitted by a user.

Key Features

• Minimal Configuration: Quick setup primarily via .env file variables.
• Focus on Text/Chat: Optimized for direct text generation and simple chat completions.
• Laravel 10+ Compatible: Ensures compatibility with recent Laravel releases.
• Lightweight Dependency: Keeps your application footprint small.

4. Laravel MCP (Model Context Protocol)

🌐 Website: https://laravelmcp.io

Overview

Laravel MCP (Model Context Protocol) introduces a standardized way for external AI clients (like GitHub Copilot Chat or Claude Desktop) to interact with your Laravel application. It allows you to expose specific Tools (functions), Resources (data/models), and Prompts (reusable instructions) via a well-defined API. This turns your application into a first-class citizen in the burgeoning ecosystem of AI agents.

Example Use Cases

• AI Developer Assistant: Enable an external AI to read your routes and Eloquent models to generate tests or controllers, knowing the exact structure of your database. (This powers Laravel Boost).
• Autonomous Agent Integration: Allow an external AI agent to “book an order” or “check inventory” by safely calling a structured API endpoint defined as an MCP Tool.
• Data Sharing: Permit an AI to access a structured list of user invoices (defined as an MCP Resource) to answer a user query like “What was my last purchase?”

Key Features

• Tools: Expose Artisan commands or complex business logic as callable functions for AI agents.
• Resources: Expose Eloquent models or application files with structured metadata for AI consumption.
• Prompts: Define reusable, high-quality prompts to ensure consistent AI interactions.
• Universal Protocol: Standardized JSON-RPC communication that works seamlessly with any client adhering to the MCP standard.

Compare Your AI Tools

Laravel continues to evolve as a powerful foundation for AI-driven development. Whether you’re building an intelligent assistant, automating tasks, or experimenting with LLMs, these AI packages empower Laravel developers to stay ahead of the curve now and beyond.

Check the list of all Laravel tips here. Thanks for reading!