Laravel has evolved. It is no longer just a php web framework for CRUD apps. It is a full-scale AI powerhouse.
The ecosystem now provides tools to build, deploy, and monitor autonomous agents. You don't need to be a data scientist. You just need to know PHP.
The mission is simple. We want to remove the friction of building AI features. This guide covers the core tools and workflows you need to ship AI-native applications today.
The New Stack: AI SDK and Boost
We recently introduced two major pillars for AI development. They serve different purposes in your workflow.
The Laravel AI SDK is for your users. It provides the runtime tools to build agents, manage memory, and handle structured output. It abstracts away the differences between OpenAI, Anthropic, and Gemini.
Laravel Boost is for you. It is a php developer tool that helps AI coding assistants understand your codebase. It uses the Model Context Protocol (MCP) to bridge the gap between your editor and your application.
Defining Agents: Instructions and Schemas
In the AI SDK, everything starts with an Agent class. Think of an agent as a specialized worker. It has a specific job and a set of instructions.
You can generate an agent with a single command: php artisan make:agent SalesCoach. This class holds your system prompts and model configurations.
Structured Output
Agents are most useful when they return predictable data. We use schemas for this. A schema ensures the LLM returns valid JSON that your PHP code can actually use.
If you are building a tool to build rest api with php, you want the agent to return data that fits your database columns. Schemas allow you to define types, enums, and required fields. The SDK handles the validation and retries automatically.
Giving Agents Hands: Tools and MCP
An agent that only talks is a chatbot. An agent that acts is a teammate. Tools are how we give agents the ability to execute PHP code.
Tools as PHP Classes
You can define tools for common tasks. This might include searching your database, sending an email, or checking a user's subscription status.
When an agent needs information, it calls these tools. You define the logic in a handle method. The AI SDK takes care of the orchestration. This pattern keeps your business logic in PHP where it belongs.
Laravel Boost and MCP
Boost takes this further by exposing your app's internal tools to your IDE. Tools like Cursor or Claude Code can now query your database or read your logs directly.
This creates a "best-in-class" developer experience. You no longer copy-paste code into a chat window. The AI already knows your routes, your models, and your migrations.
Practical Workflows: From Prompt to API
Building an AI feature follows a consistent pattern. You start with the user's intent and end with a structured response.
- Capture Input: A user sends a message or uploads a file.
- Invoke Agent: The AI SDK dispatches the prompt to your chosen provider.
- Execute Tools: The agent calls any necessary PHP functions to gather context.
- Return Response: Your application receives a typed object ready for the frontend.
This workflow fits perfectly into traditional Laravel controllers. You can stream responses for a snappier UI or use background jobs for complex reasoning tasks.
Scaling and Deployment
AI features can be resource-heavy. Monitoring and deployment are critical as you move to production.
Managed Infrastructure
Laravel Cloud is built for this. It handles the scaling of your workers as your AI traffic grows. You get a managed environment that supports modern AI workloads out of the box.
Monitoring with Nightwatch
You need to know how your agents are performing. Nightwatch provides the logging and monitoring necessary to track LLM costs and latency. You can see exactly which prompts are failing and why.
For those running their own servers, Laravel Forge remains the standard for VPS management. It simplifies the setup of the queues and supervisors needed for long-running AI agents.
Your Story Belongs Here
The AI era is not about replacing developers. It is about making them more productive.
Laravel provides the elegant syntax and the full ecosystem you need to stay ahead. You don't have to reinvent the wheel. Everything from authentication to vector search is already covered.
We'd love to hear what you are building. Join the community and start shipping your first AI agent today.