OpenRouter

OpenRouter provides access to multiple AI models through a single API. This provider allows you to use various models from different providers through OpenRouter's routing system.

Configuration

Add your OpenRouter configuration to config/prism.php:

php

'providers' => [
    'openrouter' => [
        'api_key' => env('OPENROUTER_API_KEY'),
        'url' => env('OPENROUTER_URL', 'https://openrouter.ai/api/v1'),
        'site' => [
            'http_referer' => env('OPENROUTER_SITE_HTTP_REFERER'),
            'x_title' => env('OPENROUTER_SITE_X_TITLE'),
        ],
    ],
],

Environment Variables

Set your OpenRouter API key and URL in your .env file:

env

OPENROUTER_API_KEY=your_api_key_here
OPENROUTER_URL=https://openrouter.ai/api/v1
OPENROUTER_SITE_HTTP_REFERER=https://your-site.example
OPENROUTER_SITE_X_TITLE="Your Site Name"

Usage

Text Generation

php

use Prism\Prism\Facades\Prism;
use Prism\Prism\Enums\Provider;

$response = Prism::text()
    ->using(Provider::OpenRouter, 'openai/gpt-4-turbo')
    ->withPrompt('Tell me a story about AI.')
    ->generate();

echo $response->text;

Structured Output

NOTE

OpenRouter uses OpenAI-compatible structured outputs. For strict schema validation, the root schema should be an ObjectSchema.

php

use Prism\Prism\Facades\Prism;
use Prism\Prism\Enums\Provider;
use Prism\Prism\Schema\ObjectSchema;
use Prism\Prism\Schema\StringSchema;

$schema = new ObjectSchema('person', 'Person information', [
    new StringSchema('name', 'The person\'s name'),
    new StringSchema('occupation', 'The person\'s occupation'),
]);

$response = Prism::structured()
    ->using(Provider::OpenRouter, 'openai/gpt-4-turbo')
    ->withPrompt('Generate a person profile for John Doe.')
    ->withSchema($schema)
    ->generate();

echo $response->text;

Tool Calling

php

use Prism\Prism\Facades\Prism;
use Prism\Prism\Enums\Provider;
use Prism\Prism\Tool;

$weatherTool = Tool::as('get_weather')
    ->for('Get the current weather for a location')
    ->withStringParameter('location', 'The location to get weather for')
    ->using(function (string $location) {
        return "The weather in {$location} is sunny and 72°F";
    });

$response = Prism::text()
    ->using(Provider::OpenRouter, 'openai/gpt-4-turbo')
    ->withPrompt('What is the weather like in New York?')
    ->withTools([$weatherTool])
    ->generate();

echo $response->text;

Multimodal Prompts

OpenRouter keeps the OpenAI content-part schema, so you can mix text and images inside a single user turn.

php

use Prism\Prism\Facades\Prism;
use Prism\Prism\Enums\Provider;
use Prism\Prism\ValueObjects\Media\Image;

$response = Prism::text()
    ->using(Provider::OpenRouter, 'openai/gpt-4o-mini')
    ->withPrompt('Describe the key trends in this diagram.', [
        Image::fromLocalPath('storage/charts/retention.png'),
    ])
    ->generate();

echo $response->text;

TIP

Image value objects are serialized into the image_url entries that OpenRouter expects, so you can attach multiple images or pair them with plain text in the same message.

Documents

OpenRouter supports sending documents (PDFs) to compatible models:

php

use Prism\Prism\Facades\Prism;
use Prism\Prism\Enums\Provider;
use Prism\Prism\ValueObjects\Media\Document;

$response = Prism::text()
    ->using(Provider::OpenRouter, 'anthropic/claude-sonnet-4')
    ->withPrompt('Summarize this document.', [
        Document::fromUrl('https://example.com/report.pdf', 'report.pdf'),
    ])
    ->generate();

echo $response->text;

TIP

Document value objects support URLs and base64-encoded content. File IDs and chunks are not supported via OpenRouter.

Videos

OpenRouter supports sending video files to compatible models (like Gemini). Videos can be provided as URLs or base64-encoded content:

php

use Prism\Prism\Facades\Prism;
use Prism\Prism\Enums\Provider;
use Prism\Prism\ValueObjects\Media\Video;

$response = Prism::text()
    ->using(Provider::OpenRouter, 'google/gemini-3-flash-preview')
    ->withPrompt('Describe what happens in this video.', [
        Video::fromLocalPath('/path/to/video.mp4'),
    ])
    ->generate();

echo $response->text;

You can also use YouTube URLs with Gemini models via OpenRouter:

php

$response = Prism::text()
    ->using(Provider::OpenRouter, 'google/gemini-3-flash-preview')
    ->withPrompt('Summarize this video.', [
        Video::fromUrl('https://www.youtube.com/watch?v=dQw4w9WgXcQ'),
    ])
    ->generate();

NOTE

Video support varies by model. Check OpenRouter's models page for models with video input support.

Streaming

php

use Prism\Prism\Facades\Prism;
use Prism\Prism\Enums\Provider;
use Prism\Prism\Enums\StreamEventType;

$stream = Prism::text()
    ->using(Provider::OpenRouter, 'openai/gpt-4-turbo')
    ->withPrompt('Tell me a long story about AI.')
    ->asStream();

foreach ($stream as $event) {
    if ($event->type() === StreamEventType::TextDelta) {
        echo $event->delta;
    }
}

NOTE

OpenRouter keeps SSE connections alive by emitting comment events such as : OPENROUTER PROCESSING. These lines are safe to ignore while parsing the stream.

[!WARNING] Mid-stream failures propagate as normal SSE payloads with error details and finish_reason: "error" while the HTTP status remains 200. Make sure to inspect each chunk for an error field so you can surface failures to the caller and stop reading the stream.

Streaming with Tools

php

use Prism\Prism\Facades\Prism;
use Prism\Prism\Enums\Provider;
use Prism\Prism\Tool;

$weatherTool = Tool::as('get_weather')
    ->for('Get the current weather for a location')
    ->withStringParameter('location', 'The location to get weather for')
    ->using(function (string $location) {
        return "The weather in {$location} is sunny and 72°F";
    });

$stream = Prism::text()
    ->using(Provider::OpenRouter, 'openai/gpt-4-turbo')
    ->withPrompt('What is the weather like in multiple cities?')
    ->withTools([$weatherTool])
    ->asStream();

foreach ($stream as $event) {
    match ($event->type()) {
        StreamEventType::TextDelta => echo $event->delta,
        StreamEventType::ToolCall => echo "Tool called: {$event->toolName}\n",
        StreamEventType::ToolResult => echo "Tool result: " . json_encode($event->result) . "\n",
        default => null,
    };
}

Reasoning/Thinking Tokens

Some models (like OpenAI's o1 series) support reasoning tokens that show the model's thought process:

php

use Prism\Prism\Facades\Prism;
use Prism\Prism\Enums\Provider;
use Prism\Prism\Enums\StreamEventType;

$stream = Prism::text()
    ->using(Provider::OpenRouter, 'openai/o1-preview')
    ->withPrompt('Solve this complex math problem: What is the derivative of x^3 + 2x^2 - 5x + 1?')
    ->asStream();

foreach ($stream as $event) {
    if ($event->type() === StreamEventType::ThinkingDelta) {
        // This is the model's reasoning/thinking process
        echo "Thinking: " . $event->delta . "\n";
    } elseif ($event->type() === StreamEventType::TextDelta) {
        // This is the final answer
        echo $event->delta;
    }
}

Reasoning Effort

Control how much reasoning the model performs before generating a response using the reasoning parameter. The way this is structured depends on the underlying model you are calling:

php

$response = Prism::text()
    ->using(Provider::OpenRouter, 'openai/gpt-5-mini')
    ->withPrompt('Write a PHP function to implement a binary search algorithm with proper error handling')
    ->withProviderOptions([
        'reasoning' => [
            'effort' => 'high',  // Can be "high", "medium", or "low" (OpenAI-style)
            'max_tokens' =>  2000, // Specific token limit (Gemini / Anthropic-style)
            
            // Optional: Default is false. All models support this.
            'exclude' => false, // Set to true to exclude reasoning tokens from response
            // Or enable reasoning with the default parameters:
            'enabled' => true // Default: inferred from `effort` or `max_tokens`
        ]
    ])
    ->asText();

Provider Routing & Advanced Options

Use withProviderOptions() to forward OpenRouter-specific controls such as model preferences or sampling parameters. Prism automatically forwards the native request values for temperature, top_p, and max_tokens, so you can continue tuning them through the usual Prism API without duplicating them in withProviderOptions(). For transform pipelines, OpenRouter currently documents "middle-out" as the primary example—consult the parameter reference for additional context.

php

use Prism\Prism\Facades\Prism;
use Prism\Prism\Enums\Provider;

$response = Prism::text()
    ->using(Provider::OpenRouter, 'openai/gpt-4o')
    ->withPrompt('Draft a concise product changelog entry.')
    ->withProviderOptions([
        // https://openrouter.ai/docs/model-routing
        'models' => [
            'anthropic/claude-sonnet-4.5',
            'openai/gpt-4o-mini',
        ],
        'top_k' => 40,
        // Reference: https://openrouter.ai/docs/api-reference/parameters for the full parameter list.
    ])
    ->generate();

echo $response->text;

IMPORTANT

The values you supply here are passed directly to OpenRouter. Consult the Parameters reference and Provider Routing guide for the full list of supported keys.

The single model parameter and the fallback models array work together. When both are present, OpenRouter first tries the model value, then walks the models list in order—exactly as outlined in the Model Routing guide. Fallbacks trigger for moderation flags, context-length errors, rate limits, or provider downtime, and the final model field in the response reveals which entry actually served the request (and therefore which pricing tier applies). If you prefer OpenRouter to choose the initial model, set model to openrouter/auto and still supply a models array for explicit overrides when needed. Because metadata is centralized, you can double-check supported_parameters, context length, and per-request limits via the Models API before rolling out changes.

Available Models

OpenRouter supports many models from different providers. The Models API returns structured metadata—supported_parameters, context length, pricing, and more—so you can verify capabilities programmatically before issuing requests. Some popular options include:

x-ai/grok-code-fast-1
anthropic/claude-sonnet-4.5
google/gemini-2.5-flash
deepseek/deepseek-chat-v3-0324
z-ai/glm-4.6
tngtech/deepseek-r1t2-chimera:free
qwen/qwen3-coder-30b-a3b-instruct
mistralai/mistral-nemo

Visit OpenRouter's models page for a complete list of available models.

Features

✅ Text Generation
✅ Structured Output
✅ Tool Calling
✅ Multiple Model Support
✅ Provider Routing
✅ Streaming
✅ Reasoning/Thinking Tokens (for compatible models)
✅ Image Support
✅ Video Support
✅ Document Support
❌ Embeddings (not yet implemented)
❌ Image Generation (not yet implemented)

API Reference

For detailed API documentation, visit OpenRouter's API documentation.

Error Handling

The OpenRouter provider includes standard error handling for common issues:

Rate limiting
Request too large
Provider overload
Invalid API key

Errors are automatically mapped to appropriate Prism exceptions for consistent error handling across all providers.

OpenRouter ​

Configuration ​

Environment Variables ​

Usage ​

Text Generation ​

Structured Output ​

Tool Calling ​

Multimodal Prompts ​

Documents ​

Videos ​

Streaming ​

Streaming with Tools ​

Reasoning/Thinking Tokens ​

Reasoning Effort ​

Provider Routing & Advanced Options ​

Available Models ​

Features ​

API Reference ​

Error Handling ​

OpenRouter

Configuration

Environment Variables

Usage

Text Generation

Structured Output

Tool Calling

Multimodal Prompts

Documents

Videos

Streaming

Streaming with Tools

Reasoning/Thinking Tokens

Reasoning Effort

Provider Routing & Advanced Options

Available Models

Features

API Reference

Error Handling