Рекомендации

async function pollWithBackoff(model, taskId, apiKey) {
  let interval = 3000; // Start at 3s
  const maxInterval = 30000; // Max 30s
  const maxAttempts = 60;
  
  for (let i = 0; i < maxAttempts; i++) {
    const response = await fetch(
      `https://api.apixo.ai/api/v1/statusTask/${model}?taskId=${taskId}`,
      { headers: { 'Authorization': `Bearer ${apiKey}` } }
    );
    
    const { data } = await response.json();
    
    if (data.state === 'success') {
      return JSON.parse(data.resultJson).resultUrls;
    }
    if (data.state === 'failed') {
      throw new Error(data.failMsg);
    }
    
    await new Promise(r => setTimeout(r, interval));
    interval = Math.min(interval * 1.5, maxInterval);
  }
  
  throw new Error('Timeout');
}

const result = await pollForResult(taskId);

if (!result) {
  // Handle null/undefined
}

// Check for specific error codes
if (result.state === 'failed') {
  switch (result.failCode) {
    case 'CONTENT_VIOLATION':
      // Prompt needs modification
      break;
    case 'PROCESSING_TIMEOUT':
      // Retry the request
      break;
    case 'INSUFFICIENT_CREDITS':
      // Alert user to add credits
      break;
  }
}

async function generateWithRetry(params, maxRetries = 3) {
  for (let attempt = 0; attempt < maxRetries; attempt++) {
    try {
      return await generateImage(params);
    } catch (error) {
      if (attempt === maxRetries - 1) throw error;
      
      // Only retry on transient errors
      if (error.failCode === 'PROCESSING_TIMEOUT') {
        await new Promise(r => setTimeout(r, 5000));
        continue;
      }
      
      throw error; // Don't retry content violations etc.
    }
  }
}

[Объект] + [Действие/Поза] + [Окружение] + [Стиль] + [Технические детали]

Молодая женщина читает книгу в уютном кафе, 
тёплый дневной свет через окна, 
импрессионистский масляный стиль, 
мягкий фокус на фоне, освещение golden hour

// Result URLs expire after 24 hours
const urls = await generateImage(prompt);

// Download immediately
for (const url of urls) {
  const response = await fetch(url);
  const buffer = await response.arrayBuffer();
  // Save to your storage
}

// Log task IDs for debugging
console.log(`Task submitted: ${taskId}`);

// Store in database for reference
await db.tasks.create({
  taskId,
  userId: user.id,
  model,
  prompt,
  status: 'pending',
  createdAt: new Date(),
});

// Track costs per user/project
await db.usage.create({
  userId: user.id,
  model,
  cost: MODEL_COSTS[model],
  timestamp: new Date(),
});

// Set up alerts for unusual usage
if (dailyCost > threshold) {
  sendAlert('High API usage detected');
}

// DO: Use environment variables
const apiKey = process.env.APIXO_API_KEY;

// DON'T: Hardcode in source
const apiKey = 'sk-abc123'; // Never do this!

// DON'T: Expose in client-side code
// API calls should go through your backend

function validatePrompt(prompt) {
  if (!prompt || typeof prompt !== 'string') {
    throw new Error('Invalid prompt');
  }
  
  if (prompt.length > 5000) {
    throw new Error('Prompt too long');
  }
  
  // Sanitize before sending to API
  return prompt.trim();
}

// Reuse HTTP connections
const agent = new https.Agent({ keepAlive: true });

const response = await fetch(url, {
  agent,
  // ...
});

// Generate multiple images in parallel
const prompts = ['prompt1', 'prompt2', 'prompt3'];

const tasks = await Promise.all(
  prompts.map(prompt => submitTask(prompt))
);

const results = await Promise.all(
  tasks.map(task => pollForResult(task.taskId))
);

const startTime = Date.now();

try {
  const result = await generateImage(prompt);
  
  logger.info('Generation successful', {
    taskId: result.taskId,
    duration: Date.now() - startTime,
    model,
  });
} catch (error) {
  logger.error('Generation failed', {
    error: error.message,
    duration: Date.now() - startTime,
    model,
  });
}