onairos/example-usage.js

The Onairos Library is a collection of functions that enable Applications to connect and communicate data with Onairos Identities via User Authorization. Integration for developers is seamless, simple and effective for all applications. LLM SDK capabiliti

/**
 * Simple Onairos SDK Usage Example
 * Shows how easy it is to replace OpenAI with Onairos
 */

import { OnairosClient } from 'onairos';

// BEFORE: Traditional OpenAI usage
/*
import OpenAI from 'openai';
const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });

const response = await openai.chat.completions.create({
  model: 'gpt-4',
  messages: [
    { role: 'user', content: 'Hello, how are you?' }
  ]
});
*/

// AFTER: Onairos SDK usage (with RAG enhancement)
const onairos = new OnairosClient({
  openaiApiKey: process.env.OPENAI_API_KEY,
  anthropicApiKey: process.env.ANTHROPIC_API_KEY, // Optional
  googleApiKey: process.env.GOOGLE_API_KEY, // Optional
  pineconeApiKey: process.env.PINECONE_API_KEY,
  pineconeEnvironment: process.env.PINECONE_ENVIRONMENT,
  jwtSecret: process.env.JWT_SECRET
});

async function main() {
  // Initialize the SDK
  await onairos.initialize();
  
  // Create a user session
  const userId = 'user-123';
  const sessionToken = onairos.generateSessionToken(userId);
  
  // Make the same API call, but now with RAG enhancement
  const response = await onairos.completions({
    model: 'gpt-4', // or 'claude-3-sonnet-20240229' or 'gemini-pro'
    messages: [
      { role: 'user', content: 'Hello, how are you?' }
    ],
    userId,
    sessionToken
  });
  
  console.log(response.choices[0].message.content);
  
  // The SDK automatically:
  // 1. Retrieves relevant user memory using RAG
  // 2. Enhances the prompt with context
  // 3. Stores meaningful memory for future interactions
  // 4. Provides the same response format as OpenAI
}

main().catch(console.error);