<!-- PLACEHOLDER: Replace this content with your actual SKILL.md content. This file should contain comprehensive instructions for AI agents on how to: - Install and configure the Portkey TypeScript SDK - Use core features (completions, chat, embeddings) - Implement observability and tracing - Set up caching, fallbacks, and load balancing - Handle errors properly - Work with different LLM providers through Portkey Keep the file under 500 lines. Move detailed reference material to the references/ directory. -->

• The user wants to integrate Portkey into a TypeScript or JavaScript application
• The user needs LLM observability, caching, or reliability features
• The user wants to route requests across multiple LLM providers
• The user mentions "Portkey", "AI gateway", or "LLM observability" in Node.js/TS context

undefined

<!-- Add your complete SDK documentation below -->

import Portkey from 'portkey-ai';

const client = new Portkey({
  apiKey: 'YOUR_PORTKEY_API_KEY',
  virtualKey: 'YOUR_VIRTUAL_KEY', // Optional: for provider routing
});

const response = await client.chat.completions.create({
  model: 'gpt-4',
  messages: [
    { role: 'user', content: 'Hello!' }
  ],
});

console.log(response.choices[0].message.content);