PHP code example of r5dy1n / straico-php

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

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

    

r5dy1n / straico-php example snippets

$straico = new \Straico\Straico('your-api-key-here');

traico\Straico;
use Straico\Exceptions\StraicoException;

// Using environment variable
$straico = new Straico();

// Or with API key parameter
$straico = new Straico('your-api-key-here');

try {
    $user = $straico->user();
    print_r($user);
} catch (StraicoException $e) {
    echo "Error: " . $e->getMessage();
}

// Get models (v0)
$models = $straico->models();

// Get models (v1)
$models = $straico->modelsV1();

// Get models (v2) - OpenAI-Compatible format
$models = $straico->modelsV2();

foreach ($models['data'] as $model) {
    echo $model['name'] . " - " . $model['pricing']['coins'] . " coins\n";
}

$model = $straico->model('openai/gpt-4');
print_r($model);

// Using v0 (default)
$response = $straico->promptCompletion(
    model: 'openai/gpt-4',
    message: 'Explain quantum computing in simple terms',
    options: []
);

// Using v1
$response = $straico->promptCompletionV1(
    model: 'openai/gpt-4',
    message: 'Explain quantum computing in simple terms',
    options: []
);

echo $response['choices'][0]['message']['content'];

$response = $straico->promptCompletion(
    model: 'openai/gpt-4',
    message: 'Analyze this image and describe what you see',
    options: [
        'images' => ['path/to/image.jpg'],
        'display_transcripts' => true
    ]
);

$response = $straico->promptCompletion(
    model: 'anthropic/claude-3-opus',
    message: 'Summarize this video',
    options: [
        'youtube_urls' => ['https://youtube.com/watch?v=...'],
        'display_transcripts' => true
    ]
);

// Using v0 (default)
$response = $straico->chatCompletion(
    model: 'openai/gpt-4',
    messages: [
        ['role' => 'system', 'content' => 'You are a helpful assistant.'],
        ['role' => 'user', 'content' => 'What is the capital of France?']
    ]
);

// Using v1
$response = $straico->chatCompletionV1(
    model: 'openai/gpt-4',
    messages: [
        ['role' => 'user', 'content' => 'Hello!']
    ]
);

// Using v2
$response = $straico->chatCompletionV2(
    model: 'openai/gpt-4',
    messages: [
        ['role' => 'user', 'content' => 'Hello!']
    ],
    options: [
        'temperature' => 0.7,
        'max_tokens' => 150
    ]
);

echo $response['choices'][0]['message']['content'];

$uploadResult = $straico->uploadFile('/path/to/document.pdf');
$fileId = $uploadResult['file_id'];
echo "File uploaded: $fileId\n";

$result = $straico->imageGeneration(
    model: 'openai/dall-e-3',
    description: 'A serene landscape with mountains and a lake at sunset',
    size: '1024x1024',
    variations: 1
);

$imageUrl = $result['data'][0]['url'];
echo "Generated image: $imageUrl\n";

$rag = $straico->createRag(
    name: 'My Knowledge Base',
    description: 'Documentation and guides',
    files: [
        [
            'name' => 'document.pdf',
            'content' => base64_encode(file_get_contents('document.pdf'))
        ]
    ]
);

$ragId = $rag['id'];

$rags = $straico->rags();

foreach ($rags as $rag) {
    echo $rag['name'] . " (ID: " . $rag['id'] . ")\n";
}

$rag = $straico->rag('rag-id-here');
print_r($rag);

$result = $straico->updateRag(
    ragId: 'rag-id-here',
    filePaths: [
        '/path/to/new-document.pdf',
        '/path/to/another-file.txt'
    ]
);

echo "RAG updated with " . $result['total_words'] . " words\n";

// Basic query
$response = $straico->ragPromptCompletion(
    ragId: 'rag-id-here',
    model: 'openai/gpt-4',
    prompt: 'What does the documentation say about authentication?'
);

// With optional retriever parameters
$response = $straico->ragPromptCompletion(
    ragId: 'rag-id-here',
    model: 'openai/gpt-4',
    prompt: 'What does the documentation say about authentication?',
    options: [
        'search_type' => 'similarity',  // similarity, mmr, or similarity_score_threshold
        'k' => 4,                        // number of documents to return
        'fetch_k' => 20,                 // documents to pass to MMR algorithm
        'lambda_mult' => 0.5,            // diversity (0=max diversity, 1=min diversity)
        'score_threshold' => 0.7         // minimum relevance threshold
    ]
);

echo $response['data']['answer'];

// View references
foreach ($response['data']['references'] as $ref) {
    echo "Page {$ref['page']}: {$ref['page_content']}\n";
}

$result = $straico->deleteRag('rag-id-here');

$agent = $straico->createAgent([
    'name' => 'Research Assistant',
    'description' => 'Helps with research tasks',
    'model' => 'openai/gpt-4',
    // Additional configuration...
]);

$agentId = $agent['_id'];

// Basic query
$response = $straico->agentPromptCompletion(
    agentId: 'agent-id-here',
    prompt: 'Research the latest developments in AI'
);

// With optional parameters
$response = $straico->agentPromptCompletion(
    agentId: 'agent-id-here',
    prompt: 'Research the latest developments in AI',
    options: [
        'search_type' => 'mmr',
        'k' => 5
    ]
);

echo $response['data']['answer'];

use Straico\Exceptions\StraicoException;

try {
    $response = $straico->promptCompletion('openai/gpt-4', 'Hello');
} catch (StraicoException $e) {
    echo "Error: " . $e->getMessage() . "\n";
    echo "Code: " . $e->getCode() . "\n";
}

bash
composer 

bash
export STRAICO_API_KEY="your-api-key-here"