✨ Features · 📚 Documentation · 🧪 Sandbox & Examples · ⚖️ Comparison

🪐 Atlas

A unified AI SDK for Laravel — agents, tools, and 10 modalities across every major provider.

One API for OpenAI, Anthropic, Google, xAI, ElevenLabs, and any OpenAI-compatible endpoint — with no external AI dependency. Atlas runs the tool-call loop and adds optional persistence for conversations, tracking, and memory.

Every provider modality is live-tested against real provider APIs. See the API Audit.

⚡ It's this simple

use Atlasphp\Atlas\Atlas;

$response = Atlas::text('openai', 'gpt-4o-mini')
    ->message('Draft a brief, friendly email letting a client know their project is running two days behind, and propose Thursday for delivery.')
    ->asText();

echo $response->text;
//  Hi Jordan — a quick heads-up that we're running about two days behind
//  on the project. We're aiming to have everything to you by Thursday..."

No agent classes, no config. Add ->instructions() and ->withTools() when you need them, or graduate to a reusable Agent as your app grows.

🎯 Highlights

Every modality — text, images, audio, music, SFX, video, realtime voice, embeddings, reranking, moderation. Voice, music, SFX, and video are Atlas-only.
A real agent framework — first-class agents, sub-agents with guards and true parallel fan-out, auditable execution trees.
Production-grade persistence — conversation memory, execution tracking, retry & branch, media assets on disk (S3/local).
Operational services — pre-flight token counting, provider-call observability, runtime model/voice discovery.
Control at every layer — middleware across agent, step, tool, and provider boundaries.
Multi-provider, one API — every major provider plus any OpenAI-compatible endpoint; swap by changing a string.

💡 Why Atlas?

Plenty of AI libraries get you a response and stop there. Atlas handles everything after the happy path — the retries, errors, and tracking real apps run into.

Tested for real, not mocked. Every modality runs against the live provider API (API Audit), and every feature ships with automated tests. What the docs say is what ships.
Production-hardened. Automatic retries, typed exceptions, observability, and cost tracking that survives interrupted streams — the failure modes real apps hit are already handled.
Keeps pace with the providers. New models, tools, and capabilities land fast — the CHANGELOG shows the cadence.

And where it counts, Atlas simply does more: realtime voice, video, retry & branch, pre-flight token counting, and ~50%-cheaper batch processing are all Atlas-only among Laravel AI libraries. See the full comparison →

🚀 Quick Start

composer require atlas-php/atlas

Supports Laravel 11+.

php artisan vendor:publish --tag=atlas-config

Define an Agent

use Atlasphp\Atlas\Agent;

class PlantShopAgent extends Agent
{
    public function provider(): ?string
    {
        return 'anthropic';
    }

    public function model(): ?string
    {
        return 'claude-sonnet-4-20250514';
    }

    public function instructions(): ?string
    {
        return <<<'PROMPT'
        You are Fern, the friendly plant-care and order specialist for {shop_name}.

        ## Customer
        - **Name:** {customer_name}
        - **Member since:** {member_since}

        ## How you help
        - Greet {customer_name} by name and keep it warm.
        - For anything about an order, call `lookup_order` first — never guess a status.
        - If a plant arrived damaged, use `start_return` to open a replacement, then reassure them.
        - Drop in a genuinely useful care tip when it fits.
        PROMPT;
    }

    public function tools(): array
    {
        return [
            LookupOrderTool::class,
            StartReturnTool::class,
        ];
    }
}

Build a Tool

use Atlasphp\Atlas\Tools\Tool;
use Atlasphp\Atlas\Schema\Fields\StringField;

class LookupOrderTool extends Tool
{
    public function __construct(
        private OrderService $orders
    ) {}

    public function name(): string
    {
        return 'lookup_order';
    }

    public function description(): string
    {
        return 'Look up the status and contents of an order by its ID';
    }

    public function parameters(): array
    {
        return [
            new StringField('order_id', 'The order ID, e.g. "5512"'),
        ];
    }

    public function handle(array $args, array $context): mixed
    {
        $order = $this->orders->find($args['order_id']);

        return $order ? $order->toArray() : 'No order found with that ID.';
    }
}

Chat with the Agent

$response = Atlas::agent('plant-shop')
    ->withVariables([
        'shop_name' => 'Leaf & Co.',
        'customer_name' => 'Sarah',
        'member_since' => '2023',
    ])
    ->message('My monstera arrived with a snapped leaf — order #5512. Can I get a replacement?')
    ->asText();

$response->text;    // "Oh no, Sarah! Let me pull up #5512 for you..."
$response->usage;   // Token usage
$response->steps;   // Tool call loop — lookup_order, then start_return

Speak with the Agent (Voice to Voice)

$session = Atlas::agent('plant-shop')
    ->withVariables([
        'shop_name' => 'Leaf & Co.',
        'customer_name' => 'Sarah',
        'member_since' => '2023',
    ])
    ->asVoice();

return response()->json($session->toClientPayload());
// Returns ephemeral token + connection URL for WebRTC/WebSocket

See the Voice Integration Guide for full setup instructions.

Optional: Enable Persistence

Atlas runs fully stateless by default — no database required. To unlock conversation history, execution tracking, media-asset storage, and retry & branch, publish and run the migrations:

php artisan vendor:publish --tag=atlas-migrations
php artisan migrate

Then turn it on in .env:

ATLAS_PERSISTENCE_ENABLED=true

That's it — ->for($user) and ->forConversation($id) now load and persist history automatically.

✨ Features

Core generation

Text & structured output — schema-validated JSON from any provider
Streaming — SSE + Laravel Broadcasting, real-time chunks
Tool calling — typed tools, multi-step loop, concurrent execution
Reasoning — configure, stream, and persist extended thinking
Prompt caching — cache long system prompts to cut cost
Token counting — count input (with tools & images) before sending

Agent framework

Agents — provider, model, instructions, and tools in one reusable class
Sub-agents — delegation with depth/cycle guards, lineage, and parallel fan-out
Conversations & memory — multi-turn history, retry & branch, agent memory
Execution tracking — steps, tools, usage, and assets persisted
Media assets — auto-stored to disk (S3/local), linked to messages
Middleware — agent, step, tool, and provider layers
Variable interpolation — {var} placeholders resolved at runtime
Queues — async execution with broadcasting and callbacks

Modalities

10 modalities — text, images, audio, music, sound effects, video, voice, embeddings, reranking, moderation
Realtime voice — bidirectional voice conversations with tools
Similarity search — whole-record or chunked embeddings, diff-based re-embedding

Ecosystem & tooling

Provider tools — web search, code interpreter, file search
MCP — composes with Laravel MCP
Provider discovery — list models/voices, validate keys, inspect capabilities
Observability — trace every provider call, correlation IDs across retries
Testing — full per-modality fakes, no API keys required
Custom providers — OpenAI-compatible endpoints or fully custom drivers

🔌 Providers

Atlas talks to every major provider through one interface. Switch by changing a string — your agents, tools, and middleware stay the same.

First-party drivers

OpenAI · Anthropic · Google (Gemini) · xAI (Grok) · ElevenLabs · Cohere · Jina

Any OpenAI-compatible API

Ollama · Groq · DeepSeek · Together · OpenRouter · LM Studio · Mistral · Perplexity

📖 Documentation

atlasphp.org — Full guides, API reference, and examples.

Getting Started — Installation and configuration
Agents — Define reusable AI configurations
Tools — Connect agents to your application
Sub-agents — Agent-to-agent delegation, including concurrent (parallel) fan-out
Middleware — Extend with four middleware layers
Similarity Search — Semantic search over whole-record or chunked embeddings
Modalities — Text, images, audio, video, voice, embeddings, and more
Conversations — Multi-turn chat with persistence
Voice — Real-time voice conversations
Streaming — SSE and broadcasting
Queue — Background execution
Testing — Fakes and assertions

🧪 Sandbox

A fully functional chat interface demonstrating Atlas agents in action — multi-agent chat, tool calling, conversation memory, and live image/video generation. Built with Vue 3, Tailwind CSS, and a Laravel JSON API.

_{Pick from multiple agents — each with its own model and tools}	_{Multi-modal input — attach multiple images in one message}
_{Extended thinking — stream the model's reasoning and inspect it per step}	_{Tool calling — full execution trace with arguments and results}
_{Streaming Markdown chat with full execution traces}	_{Image generation rendered inline from a tool call}
_{Video generation that plays right in the thread}	_{Image editing — upload a photo and have an agent restyle it}
_{Retry & branch — regenerate any reply and step through versions}	_{Realtime voice — live waveform as you speak and as the AI replies}