Unify Your AI Workflow with Taam AI

import { TaamCloud } from 'taam-cloud';

// Initialize the client
const client = new TaamCloud({
  apiKey: process.env.TAAM_API_KEY
});

async function main() {
  // Chat completion
  const chatResponse = await client.chat.completions.create({
    model: "gpt-4-turbo",
    messages: [
      {role: "system", content: "You are a helpful assistant."},
      {role: "user", content: "What is artificial intelligence?"}
    ]
  });
  
  console.log(chatResponse.choices[0].message.content);
  
  // Generate embeddings
  const embeddingResponse = await client.embeddings.create({
    model: "text-embedding-3-small",
    input: "Represent this text as an embedding vector"
  });
  
  console.log(embeddingResponse.data[0].embedding.slice(0, 5)); 
}

main().catch(console.error);