laravel-ai-sdk

name	laravel-ai-sdk
description	Laravel AI SDK for building AI-powered features. Use when creating agents, generating images or audio, working with embeddings, vector search, or testing AI features. Triggers on tasks involving laravel/ai, AI agents, tool-calling, structured output, streaming, embeddings, reranking, or AI faking in tests.
license	MIT
metadata	{"author":"Laravel Community","version":"1.0.0","laravelVersion":"13.x","phpVersion":"8.3+"}

Laravel AI SDK

Comprehensive guide for building AI-powered features with the Laravel AI SDK (laravel/ai). Contains 17 rules across 7 categories covering agents, tools, media generation, embeddings, vector stores, and testing.

When to Apply

Reference these guidelines when:

• Creating AI agents with instructions, tools, and structured output
• Prompting agents with conversation context
• Streaming or queueing agent responses
• Generating images, audio, or transcriptions
• Creating and querying vector embeddings
• Building RAG (retrieval-augmented generation) features
• Testing AI features with fakes and assertions

Rule Categories by Priority

Priority	Category	Impact	Prefix
1	Agents	CRITICAL	agent-
2	Tools	HIGH	tool-
3	Embeddings & Search	HIGH	embed-
4	Media Generation	MEDIUM	media-
5	Files & Storage	MEDIUM	files-
6	Infrastructure	MEDIUM	infra-
7	Testing	HIGH	test-

Quick Reference

1. Agents (CRITICAL)

• agent-create-configure - Create agents with artisan, PHP attribute configuration
• agent-prompting - Prompt agents, conversation context, RemembersConversations
• agent-structured-output - Structured output with JSON schema
• agent-streaming-async - Streaming, broadcasting, and queueing responses
• agent-middleware - Agent middleware pipeline
• agent-anonymous - Anonymous agents for quick interactions

2. Tools (HIGH)

• tool-create - Create custom tools with schema and handle method
• tool-provider - Provider tools: WebSearch, WebFetch, FileSearch, SimilaritySearch

3. Embeddings & Search (HIGH)

• embed-generate-cache - Generate, store, and cache vector embeddings
• embed-rerank - Rerank documents and collections by relevance

4. Media Generation (MEDIUM)

• media-images - Generate, store, and queue images
• media-audio-transcription - Text-to-speech and speech-to-text

5. Files & Storage (MEDIUM)

• files-vector-stores - File storage and vector stores for RAG

6. Infrastructure (MEDIUM)

• infra-failover - Automatic provider failover for resilience

7. Testing (HIGH)

• test-agents - Fake agents, assert prompts, prevent stray prompts
• test-media - Fake images, audio, and transcriptions
• test-data - Fake embeddings, reranking, files, and vector stores

Essential Patterns

Creating an Agent

<?php

namespace App\Ai\Agents;

use Laravel\Ai\Contracts\Agent;
use Laravel\Ai\Promptable;

class SalesCoach implements Agent
{
    use Promptable;

    public function instructions(): string
    {
        return 'You are a sales coach, analyzing transcripts and providing feedback.';
    }
}

Prompting

use App\Ai\Agents\SalesCoach;

$response = SalesCoach::make()->prompt('Analyze this sales transcript...');

return (string) $response;

Generating Images

use Laravel\Ai\Image;

$image = Image::of('A donut sitting on the kitchen counter')
    ->landscape()
    ->generate();

$path = $image->store();

Generating Embeddings

use Illuminate\Support\Str;

$embeddings = Str::of('Napa Valley has great wine.')->toEmbeddings();

Testing

use App\Ai\Agents\SalesCoach;

SalesCoach::fake(['First response', 'Second response']);

SalesCoach::make()->prompt('Analyze this...');

SalesCoach::assertPrompted('Analyze this...');

How to Use

Read individual rule files for detailed explanations and code examples.

Each rule file contains:

• YAML frontmatter with metadata (title, impact, tags)
• Brief explanation of why it matters
• Bad Example with explanation
• Good Example with explanation
• Laravel 13 and PHP 8.3 specific context and references

Full Compiled Document

For the complete guide with all rules expanded: AGENTS.md