Entscheidungsmodelle

Elephant 1

High-accuracy calibrated decision engine (9.4B parameters). Evaluates structured questions, risk scoring, and multi-class routing with calibrated confidence distributions.

$0.003/run Beliebt Neu 26 Durchläufe
Elephant 1
Generierungszeit: 0s

Ihr Ergebnis wird hier angezeigt

Parameter konfigurieren und auf Ausführen klicken oder drücken Sie Ctrl - ↵ Enter.

Führen Sie das Modell aus, um die rohe JSON-Antwort zu sehen

API Endpoint

POST https://lumozai.com/api/v4/run

Use this endpoint to run the model with your parameters. Authentication is required using your API key.

Sample Code (PHP cURL)

<?php
// API endpoint URL
$apiUrl = 'https://lumozai.com/api/v4/run';

// Your API key
$apiKey = 'YOUR_API_KEY';

// Model parameters
$params = [
    'model_id' => 'elephant-1',
    'prompt' => 'Will this financial transaction be approved: Customer account verified 3 years, requested withdrawal of $850 within daily limit of $2,000, 2FA passed.',
    'decision_mode' => 'true_false',
    'choices' => '',
];

// Initialize cURL session
$curl = curl_init();

// Set cURL options
curl_setopt_array($curl, [
    CURLOPT_URL => $apiUrl,
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_POST => true,
    CURLOPT_POSTFIELDS => $params,
    CURLOPT_HTTPHEADER => [
        'Accept: application/json',
        'Authorization: Bearer ' . $apiKey
    ]
]);

// Execute the request
$response = curl_exec($curl);
$httpCode = curl_getinfo($curl, CURLINFO_HTTP_CODE);

// Check for errors
if (curl_errno($curl)) {
    echo 'cURL Error: ' . curl_error($curl);
} else {
    // Process the response
    $result = json_decode($response, true);
    
    if ($httpCode == 200 && isset($result['success']) && $result['success']) {
        // Handle successful response
        echo "Model output: ";
        print_r($result['data']['output']);
    } else {
        // Handle error response
        echo "Error: " . ($result['message'] ?? 'Unknown error');
    }
}

// Close cURL session
curl_close($curl);

Request Parameters

Parameter Type Required Description
model_id string Required The ID of the model to run (elephant-1)
api_key string Required Your API key for authentication (sent via Bearer token in the Authorization header)
prompt string Required Enter the scenario, proposition, or text data you want the decision model to evaluate.
decision_mode string Optional Select the decision evaluation structure (e.g. True/False, Approval, Sentiment, or Custom).
choices string Optional Comma-separated options to evaluate against when using Custom mode.

Response Format

{
    "success": true,
    "data": {
        "output": "This is the text output from the model based on your input parameters."
    }
}

Modell-Preise

Zahlen Sie nur für das, was Sie ausführen. Die Kosten werden direkt von Ihrem Guthaben abgezogen – ohne wiederkehrende Bindung.

Rate per generation
$ 0.003 / generation
$3.00 per 1,000 generations
Kostenschätzer
1,000 generations
Geschätzte Gesamtkosten $3.00
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