// Integration Environment Recipes

Plug-and-Play Integrations.

Intercept and compress token sequences seamlessly within your backend controllers before executing generation requests on OpenAI, Anthropic, or custom private endpoint clusters.

// Context Blueprint: Native JavaScript Node.js integration template using standard Fetch APIs to run prompt optimization securely server-side.

siftPrompt.js

const compressPrompt = async (rawText) => {
  const url = 'https://sift6.p.rapidapi.com/api/v1/compress';
  const options = {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'x-rapidapi-host': 'sift6.p.rapidapi.com',
      'x-rapidapi-key': 'YOUR_RAPIDAPI_KEY' // Load via process.env safely
    },
    body: JSON.stringify({
      text: rawText,
      mode: 'chat',
      language: 'en'
    })
  };

  try {
    const response = await fetch(url, options);
    const data = await response.json();
    return data.compressedText; // Your optimized token payload
  } catch (error) {
    console.error('Sift optimization failed:', error);
    return rawText; // Fallback pattern
  }
};

💡

Production Security Architecture: Keep your application keys completely private. Always ingest your x-rapidapi-key credential strings securely using server-side environment configurations (process.env). Never route public edge traffic through unshielded browser-side components.

Integration Logic Architecture

// 01. Ingestion

Capture your raw prompt strings or retrieved vector chunks from your database.

// 02. Compression

Route payload through Sift middleware to strip redundant tokens and conversational boilerplate.

// 03. Generation

Inject the high-density optimized payload directly into your LLM completion request.