LumozAI v4 API Documentation

curl -X POST https://lumozai.com/api/v4/run \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Accept: application/json" \
  -d "model_id=flux-3-image" \
  -d "prompt=A futuristic cityscape illuminated by neon bioluminescence"

<?php
$apiKey = 'YOUR_API_KEY';

$curl = curl_init();
curl_setopt_array($curl, [
    CURLOPT_URL => 'https://lumozai.com/api/v4/run',
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_POST => true,
    CURLOPT_POSTFIELDS => [
        'model_id' => 'flux-3-image',
        'prompt' => 'A futuristic cityscape illuminated by neon bioluminescence'
    ],
    CURLOPT_HTTPHEADER => [
        'Accept: application/json',
        'Authorization: Bearer ' . $apiKey
    ]
]);

$response = curl_exec($curl);
curl_close($curl);

$result = json_decode($response, true);
print_r($result);

{
  "success": true,
  "data": {
    "request_id": 982348712938172,
    "output": "https://lumozai.com/storage/outputs/result_flux-3-image_9823.png",
    "output_type": "image"
  }
}

{
  "success": true,
  "data": {
    "request_id": 982348712938172,
    "status": "completed",
    "output": "https://lumozai.com/storage/outputs/video_8172.mp4",
    "output_type": "video"
  }
}

{
  "success": true,
  "data": {
    "request_id": 982348712938172,
    "status": "processing",
    "progress": 68
  }
}

{
  "success": false,
  "error": {
    "code": "validation_error",
    "message": "The model_id field is required.",
    "details": {
      "model_id": ["The model_id field is required."]
    }
  }
}

# 1. Ingest text into an isolated namespace
curl -X POST "https://lumozai.com/api/v1/memory/store" \
  -H "Authorization: Bearer YOUR_LUMOZ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "project": "support-bot",
    "text": "Refunds are processed within 48 hours to original payment method.",
    "metadata": {"category": "billing"}
  }'

# 2. Query vector memory via cosine similarity
curl -X POST "https://lumozai.com/api/v1/memory/search" \
  -H "Authorization: Bearer YOUR_LUMOZ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "project": "support-bot",
    "query": "How long do refunds take?",
    "top_k": 3
  }'

import requests

headers = {
    "Authorization": "Bearer YOUR_LUMOZ_API_KEY",
    "Content-Type": "application/json"
}

# Store Knowledge
requests.post("https://lumozai.com/api/v1/memory/store", headers=headers, json={
    "project": "support-bot",
    "text": "Enterprise SLA guarantees 99.99% uptime with dedicated GPU routing.",
    "metadata": {"tier": "enterprise"}
})

# Semantic Search
res = requests.post("https://lumozai.com/api/v1/memory/search", headers=headers, json={
    "project": "support-bot",
    "query": "What is the uptime SLA?",
    "top_k": 2
})
print("Top Matches:", res.json()["results"])

const response = await fetch("https://lumozai.com/api/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_LUMOZ_API_KEY",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    model: "lumoz-llm-1.0",
    messages: [
      { role: "user", content: "What is your refund policy window?" }
    ],
    memory: {
      project: "support-bot",
      top_k: 3
    }
  })
});

const data = await response.json();
console.log(data.choices[0].message.content);