PHP code example of meirdick / prism-workers-ai

    
        
<?php
require_once('vendor/autoload.php');

/* Start to develop here. Best regards https://php-download.com/ */

    

meirdick / prism-workers-ai example snippets

'providers' => [
    'workers-ai' => [
        'api_key' => env('CLOUDFLARE_AI_API_TOKEN', ''),
        'url' => env('WORKERS_AI_URL'),
    ],
],

'providers' => [
    'workers-ai' => [
        'driver' => 'workers-ai',
        'key' => env('CLOUDFLARE_AI_API_TOKEN'),
        'url' => env('WORKERS_AI_URL'),
    ],
],

use Prism\Prism\Facades\Prism;

// Text generation
$response = Prism::text()
    ->using('workers-ai', 'workers-ai/@cf/meta/llama-3.3-70b-instruct-fp8-fast')
    ->withPrompt('Hello!')
    ->asText();

// Structured output
$response = Prism::structured()
    ->using('workers-ai', 'workers-ai/@cf/meta/llama-3.3-70b-instruct-fp8-fast')
    ->withSchema($schema)
    ->withPrompt('Classify this intent.')
    ->generate();

// Embeddings
$response = Prism::embeddings()
    ->using('workers-ai', 'workers-ai/@cf/baai/bge-large-en-v1.5')
    ->fromInput('Hello world')
    ->generate();

// Streaming
$stream = Prism::text()
    ->using('workers-ai', 'workers-ai/@cf/meta/llama-3.3-70b-instruct-fp8-fast')
    ->withPrompt('Tell me a story')
    ->asStream();

// Tool calling
$response = Prism::text()
    ->using('workers-ai', 'workers-ai/@cf/meta/llama-3.3-70b-instruct-fp8-fast')
    ->withTools([$weatherTool])
    ->withMaxSteps(3)
    ->withPrompt('What is the weather?')
    ->asText();

// Reasoning models (Kimi K2.5) — thinking content extracted automatically
$response = Prism::text()
    ->using('workers-ai', 'workers-ai/@cf/moonshotai/kimi-k2.5')
    ->withMaxTokens(2000) // reasoning models need higher max_tokens
    ->withPrompt('What is 15 * 37?')
    ->asText();

$response->text; // "555"
$response->steps[0]->additionalContent['thinking']; // "The user is asking for the product of 15 and 37..."

// Streaming with thinking events
$stream = Prism::text()
    ->using('workers-ai', 'workers-ai/@cf/moonshotai/kimi-k2.5')
    ->withMaxTokens(2000)
    ->withPrompt('Explain briefly why the sky is blue.')
    ->asStream();

foreach ($stream as $event) {
    // ThinkingStartEvent, ThinkingEvent (deltas), ThinkingCompleteEvent
    // then TextStartEvent, TextDeltaEvent, TextCompleteEvent
}

// Session affinity (prefix caching for multi-turn conversations)
$response = Prism::text()
    ->using('workers-ai', 'workers-ai/@cf/moonshotai/kimi-k2.5')
    ->withProviderOptions(['session_affinity' => 'ses_' . $conversation->id])
    ->withMaxTokens(2000)
    ->withPrompt('Follow-up question...')
    ->asText();

// Prefix cache metrics are available in usage when the API returns them
$response->usage->cacheReadInputTokens; // cached prompt tokens (null if no cache hit)

use function Laravel\Ai\agent;

// Text generation via agent
$response = agent(instructions: 'You are a helpful assistant.')
    ->prompt('Hello!', provider: 'workers-ai');

// With explicit model
$response = agent(instructions: 'Be brief.')
    ->prompt('Hello!',
        provider: 'workers-ai',
        model: 'workers-ai/@cf/meta/llama-3.3-70b-instruct-fp8-fast',
    );

// Via agent class attributes
#[Provider('workers-ai')]
#[Model('workers-ai/@cf/meta/llama-3.3-70b-instruct-fp8-fast')]
class MyAgent implements Agent, Conversational { ... }