Yandex AI Laravel SDK

Laravel SDK for Yandex AI Studio — text generation (Responses API), Vision OCR, and Embeddings.

Installation

composer require jazz-max/yandex-ai-laravel

Publish config:

php artisan vendor:publish --tag=yandex-ai-config

Add to .env:

YANDEX_AI_API_KEY=your-api-key
YANDEX_AI_FOLDER_ID=your-folder-id

Quick Start

use JazzMax\YandexAi\Facades\YandexAi;

// Text generation
$response = YandexAi::responses()->create([
    'model'        => 'yandexgpt-5-lite',
    'instructions' => 'You are a helpful assistant.',
    'input'        => 'Hello!',
]);
echo $response->text;

// OCR
$result = YandexAi::vision()->recognizeText(
    file_get_contents('photo.jpg')
);
echo $result->text();

// Embeddings
$vector = YandexAi::embeddings()->embedQuery('search query');

API Clients

Responses API

$client = YandexAi::responses();

Vision OCR

$client = YandexAi::vision();

Available models (OcrModel enum):

• Page — general text
• PageColumnSort — multi-column layouts
• Handwritten — handwriting (ru/en only)
• Table — table extraction (ru/en only)
• Markdown / MathMarkdown — structured output
• Passport — Russian passport fields
• DriverLicenseFront / DriverLicenseBack — driver license
• VehicleRegistrationFront / VehicleRegistrationBack — vehicle registration
• LicensePlates — license plate numbers

Embeddings

$client = YandexAi::embeddings();

Function Calling

use JazzMax\YandexAi\Tools\FunctionTool;

$tools = [
    FunctionTool::make('get_weather', 'Get weather for a city.', [
        'type'       => 'object',
        'properties' => [
            'city' => ['type' => 'string', 'description' => 'City name'],
        ],
        'required' => ['city'],
    ]),
];

$response = YandexAi::responses()->create([
    'model' => 'yandexgpt-5-lite',
    'input' => 'Weather in Moscow?',
    'tools' => $tools,
]);

if ($response->hasFunctionCall()) {
    $call = $response->functionCall;
    // Execute function, then submit result:
    $final = YandexAi::responses()->submitToolOutput(
        $response->id, $call['id'], '{"temp": 15}'
    );
}

Known Gotchas

See docs/GOTCHAS.md for production-tested pitfalls:

1. Tool descriptions must be short (< 15 words, English) or models write calls as text
2. Never use empty properties — always include a dummy property
3. Auth header is Api-Key, not Bearer
4. Models require URI format: gpt://folder_id/model
5. Only gemma-3-27b-it supports images, and only via base64
6. Prices are RUB per 1000 tokens, not USD per 1M
7. Cached tokens cost 50% of prompt price
8. Async OCR returns JSON Lines, not JSON array
9. handwritten/table models only support ru/en

Configuration

All options in config/yandex-ai.php:

Examples

See examples/ directory:

• simple_request.php — basic generation
• dialog.php — multi-turn conversation
• streaming.php — streaming output
• function_calling.php — tool use
• reasoning.php — Pro model reasoning
• vision_with_gpt.php — image analysis
• vision_ocr.php — OCR recognition
• vision_ocr_async.php — async PDF OCR
• embeddings.php — semantic search
• background.php — background tasks

Claude Code Skill

If you use Claude Code, install the companion skill for expert guidance on this SDK:

npx skills add jazz-max/yandex-ai-laravel-skill

The skill provides full API reference, code examples, and knows all Yandex API gotchas.

Example prompts that activate the skill:

Add YandexGPT text generation to my Laravel app with streaming support

Build a document recognition feature using Yandex Vision OCR for passports and driver licenses

Implement semantic search with Yandex Embeddings and cosine similarity

Set up function calling with Yandex AI Studio in my Laravel project

Подключи Yandex AI Studio к моему Laravel-проекту и сделай artisan-команду для генерации текста через YandexGPT

Добавь распознавание документов через Yandex Vision OCR с поддержкой паспортов и водительских удостоверений

Реализуй семантический поиск по базе статей с помощью Yandex Embeddings

License

MIT