Skill

ai-sdk-development

Name: ai-sdk-development
Author: Laravel

build AI agents with Laravel AI SDK

Covers PHP Laravel Agents AI SDK

Description

TRIGGER when working with ai-sdk which is Laravel official first-party AI SDK. Activate when building, editing AI agents, chatbots, text generation, image generation, audio/TTS, transcription/STT, embeddings, RAG, vector stores, reranking, structured output, streaming, conversation memory, tools, queueing, broadcasting, and provider failover across OpenAI, Anthropic, Gemini, Azure, Groq, xAI, DeepSeek, Mistral, Ollama, ElevenLabs, Cohere, Jina, and VoyageAI. Invoke when the user references ai-sdk, the `Laravel\Ai\` namespace, or this project's AI features — not for other AI packages used directly.

SKILL.md

Developing with the Laravel AI SDK

The Laravel AI SDK (laravel/ai) is the official AI package for Laravel, providing a unified API for agents, images, audio, transcription, embeddings, reranking, vector stores, and file management across multiple AI providers.

Searching the Documentation

This package is new. Always search the documentation before implementing any feature. Never guess at APIs — the documentation is the single source of truth.

Use broad, simple queries that match the documentation section headings below.
Do not add package names to queries — package information is shared automatically. Use test agent fake, not laravel ai test agent fake.
Run multiple queries at once — the most relevant results are returned first.

Documentation Sections

Use these section headings as query terms for accurate results:

Introduction, Installation, Configuration, Provider Support
Agents: Prompting, Conversation Context, Structured Output, Attachments, Streaming, Broadcasting, Queueing, Tools, Provider Tools, Middleware, Anonymous Agents, Agent Configuration
Images
Audio (TTS)
Transcription (STT)
Embeddings: Querying Embeddings, Caching Embeddings
Reranking
Files
Vector Stores: Adding Files to Stores
Failover
Testing: Agents, Images, Audio, Transcriptions, Embeddings, Reranking, Files, Vector Stores
Events

Decision Workflow

Determine the right entry point before writing code:

Text generation or chat? → Agent class with Promptable trait Chat with conversation history? → Agent + Conversational interface (manual) or RemembersConversations trait (automatic) Structured JSON output? → Agent + HasStructuredOutput interface Image generation? → Image::of()->generate() Audio synthesis? → Audio::of()->generate() Transcription? → Transcription::fromPath()->generate() Embeddings? → Embeddings::for()->generate() Reranking? → Reranking::of()->rerank() File storage? → Document::fromPath()->put() Vector stores? → Stores::create()

Basic Usage Examples

Agents

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

class SalesCoach implements Agent
{
    use Promptable;

    public function instructions(): string
    {
        return 'You are a sales coach.';
    }
}

// Prompting
$response = (new SalesCoach)->prompt('Analyze this transcript...');
echo $response->text;

// Container resolution with dependency injection
$agent = SalesCoach::make(user: $user);

// Override provider, model, or timeout per-prompt
$response = (new SalesCoach)->prompt(
    'Analyze this transcript...',
    provider: Lab::Anthropic,
    model: 'claude-haiku-4-5-20251001',
    timeout: 120,
);

// Streaming (returns SSE response from a route)
return (new SalesCoach)->stream('Analyze this transcript...');

// Queueing
(new SalesCoach)->queue('Analyze this transcript...')
    ->then(fn ($response) => /* ... */);

// Anonymous agents
use function Laravel\Ai\{agent};

$response = agent(instructions: 'You are a helpful assistant.')->prompt('Hello');

Conversation Context

Manual conversation history via the Conversational interface:

use Laravel\Ai\Contracts\Agent;
use Laravel\Ai\Contracts\Conversational;
use Laravel\Ai\Messages\Message;
use Laravel\Ai\Promptable;

class SalesCoach implements Agent, Conversational
{
    use Promptable;

    public function __construct(public User $user) {}

    public function instructions(): string { return 'You are a sales coach.'; }

    public function messages(): iterable
    {
        return History::where('user_id', $this->user->id)
            ->latest()->limit(50)->get()->reverse()
            ->map(fn ($m) => new Message($m->role, $m->content))
            ->all();
    }
}

Automatic conversation persistence via the RemembersConversations trait:

use Laravel\Ai\Concerns\RemembersConversations;
use Laravel\Ai\Contracts\Agent;
use Laravel\Ai\Contracts\Conversational;
use Laravel\Ai\Promptable;

class SalesCoach implements Agent, Conversational
{
    use Promptable, RemembersConversations;

    public function instructions(): string { return 'You are a sales coach.'; }
}

// Start a new conversation
$response = (new SalesCoach)->forUser($user)->prompt('Hello!');
$conversationId = $response->conversationId;

// Continue an existing conversation
$response = (new SalesCoach)->continue($conversationId, as: $user)->prompt('Tell me more.');

Structured Output

use Illuminate\Contracts\JsonSchema\JsonSchema;
use Laravel\Ai\Contracts\Agent;
use Laravel\Ai\Contracts\HasStructuredOutput;
use Laravel\Ai\Promptable;

class Reviewer implements Agent, HasStructuredOutput
{
    use Promptable;

    public function instructions(): string { return 'Review and score content.'; }

    public function schema(JsonSchema $schema): array
    {
        return [
            'feedback' => $schema->string()->required(),
            'score' => $schema->integer()->min(1)->max(10)->required(),
        ];
    }
}

$response = (new Reviewer)->prompt('Review this...');
echo $response['score']; // Access like an array

Images

use Laravel\Ai\Image;

$image = Image::of('A sunset over mountains')
    ->landscape()
    ->quality('high')
    ->generate();

$path = $image->store(); // Store to default disk

Audio

use Laravel\Ai\Audio;

$audio = Audio::of('Hello from Laravel.')
    ->female()
    ->instructions('Speak warmly')
    ->generate();

$path = $audio->store();

Transcription

use Laravel\Ai\Transcription;

$transcript = Transcription::fromStorage('audio.mp3')
    ->diarize()
    ->generate();

echo (string) $transcript;

Embeddings

use Laravel\Ai\Embeddings;
use Illuminate\Support\Str;

$response = Embeddings::for(['Text one', 'Text two'])
    ->dimensions(1536)
    ->cache()
    ->generate();

// Single string via Stringable
$embedding = Str::of('Napa Valley has great wine.')->toEmbeddings();

Reranking

use Laravel\Ai\Reranking;

$response = Reranking::of(['Django is Python.', 'Laravel is PHP.', 'React is JS.'])
    ->limit(5)
    ->rerank('PHP frameworks');

$response->first()->document; // "Laravel is PHP."

Files and Vector Stores

use Laravel\Ai\Files\Document;
use Laravel\Ai\Stores;

// Store a file with the provider
$file = Document::fromPath('/path/to/doc.pdf')->put();

// Create a vector store and add files
$store = Stores::create('Knowledge Base');
$store->add($file->id);
$store->add(Document::fromStorage('manual.pdf')); // Store + add in one step

Agent Configuration

PHP Attributes

use Laravel\Ai\Attributes\{Provider, Model, MaxSteps, MaxTokens, Temperature, Timeout};
use Laravel\Ai\Enums\Lab;

#[Provider(Lab::Anthropic)]
#[Model('claude-haiku-4-5-20251001')]
#[MaxSteps(10)]
#[MaxTokens(4096)]
#[Temperature(0.7)]
#[Timeout(120)]
class MyAgent implements Agent
{
    use Promptable;
    // ...
}

The #[UseCheapestModel] and #[UseSmartestModel] attributes are also available for automatic model selection.

The #[WithoutBroadcasting] attribute stops the given stream event types from broadcasting (e.g. data-heavy ToolResult payloads that exceed the WebSocket frame limit). The events are still streamed and persisted; they just never hit the channel:

use Laravel\Ai\Attributes\WithoutBroadcasting;
use Laravel\Ai\Streaming\Events\{ToolCall, ToolResult};

#[WithoutBroadcasting(ToolResult::class, ToolCall::class)]
class SearchAgent implements Agent, HasTools
{
    use Promptable;
    // ...
}

Tools

Implement the HasTools interface and scaffold tools with php artisan make:tool:

use Laravel\Ai\Contracts\HasTools;

class MyAgent implements Agent, HasTools
{
    use Promptable;

    public function tools(): iterable
    {
        return [new MyCustomTool];
    }
}

Provider Tools

use Laravel\Ai\Providers\Tools\{WebSearch, WebFetch, FileSearch};

public function tools(): iterable
{
    return [
        (new WebSearch)->max(5)->allow(['laravel.com']),
        new WebFetch,
        new FileSearch(stores: ['store_id']),
    ];
}

Conversation Memory

use Laravel\Ai\Concerns\RemembersConversations;
use Laravel\Ai\Contracts\Conversational;

class ChatBot implements Agent, Conversational
{
    use Promptable, RemembersConversations;
    // ...
}

$response = (new ChatBot)->forUser($user)->prompt('Hello!');
$response = (new ChatBot)->continue($conversationId, as: $user)->prompt('More...');

Failover

$response = (new MyAgent)->prompt('Hello', provider: [Lab::OpenAI, Lab::Anthropic]);

Testing and Faking

Each capability supports fake() with assertions:

use App\Ai\Agents\SalesCoach;
use Laravel\Ai\{Image, Audio, Transcription, Embeddings, Reranking, Files, Stores};

// Agents
SalesCoach::fake(['Response 1', 'Response 2']);
SalesCoach::assertPrompted('query');
SalesCoach::assertNotPrompted('query');
SalesCoach::assertNeverPrompted();
SalesCoach::fake()->preventStrayPrompts();

// Images
Image::fake();
Image::assertGenerated(fn ($prompt) => $prompt->contains('sunset'));
Image::assertNothingGenerated();

// Audio
Audio::fake();
Audio::assertGenerated(fn ($prompt) => $prompt->contains('Hello'));

// Transcription
Transcription::fake(['Transcribed text.']);
Transcription::assertGenerated(fn ($prompt) => $prompt->isDiarized());

// Embeddings
Embeddings::fake();
Embeddings::assertGenerated(fn ($prompt) => $prompt->contains('Laravel'));

// Reranking
Reranking::fake();
Reranking::assertReranked(fn ($prompt) => $prompt->contains('PHP'));

// Files
Files::fake();
Files::assertStored(fn ($file) => $file->mimeType() === 'text/plain');

// Stores
Stores::fake();
Stores::assertCreated('Knowledge Base');
$store = Stores::get('id');
$store->assertAdded('file_id');

Key Patterns

Namespace: Laravel\Ai\
Package: composer require laravel/ai
Agent pattern: Implement the Agent interface and use the Promptable trait
Optional interfaces: HasTools, HasMiddleware, HasStructuredOutput, Conversational
Entry-point classes: Image, Audio, Transcription, Embeddings, Reranking, Stores
Provider enum: Laravel\Ai\Enums\Lab (prefer over plain strings)
Artisan commands: php artisan make:agent, php artisan make:tool
Global helper: agent() for anonymous agents

OpenAI-Compatible Provider

Point the SDK at any OpenAI Chat Completions endpoint (LM Studio, vLLM, Together, etc.) with the config-driven openai-compatible driver. Define named instances in config/ai.php, no code required:

'my-llm' => [
    'driver' => 'openai-compatible',
    'url' => env('MY_LLM_URL'),        // required
    'key' => env('MY_LLM_API_KEY'),    // optional Bearer token
],

Reference it by config key (or Lab::OpenAiCompatible). A model is required via models.text.default or per-call model::

agent()->prompt('Hello', provider: 'my-llm', model: 'some-model');

It uses OpenAI-standard shapes and supports text, streaming, tools, structured output, and image attachments. For extra request-body fields, implement HasProviderOptions — the returned array is merged into the body.

Common Pitfalls

Wrong Namespace

The namespace is Laravel\Ai, not Illuminate\Ai or Laravel\AI.

// Correct
use Laravel\Ai\Image;
use Laravel\Ai\Contracts\Agent;
use Laravel\Ai\Promptable;

// Wrong — these do not exist
use Illuminate\Ai\Image;
use Laravel\AI\Agent;

Unsupported Provider Capability

Calling a capability not supported by a provider throws a LogicException. Refer to the provider support table below.

Provider Support

Feature	Providers
Text	OpenAI, Anthropic, Gemini, Azure, Groq, xAI, DeepSeek, Mistral, Ollama, OpenRouter, OpenAI-compatible
Images	OpenAI, Gemini, xAI
TTS	OpenAI, ElevenLabs
STT	OpenAI, ElevenLabs, Mistral
Embeddings	OpenAI, Gemini, Azure, Cohere, Mistral, Jina, VoyageAI
Reranking	Cohere, Jina
Files	OpenAI, Anthropic, Gemini

Use the Laravel\Ai\Enums\Lab enum to reference providers in code instead of plain strings:

use Laravel\Ai\Enums\Lab;

Lab::Anthropic;
Lab::OpenAI;
Lab::Gemini;
Lab::OpenAiCompatible; // configurable OpenAI Chat Completions endpoint
// ...

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