Creating AI Agents in Fewzen AI

Creating AI Agents in Fewzen AI involves designing, implementing, and fine-tuning intelligent entities capable of performing complex tasks and engaging in meaningful conversations. This guide will walk you through the process of creating effective AI Agents for your specific use cases.

The AI Agent Creation Process

Key Components of an AI Agent

Best Practices for Creating AI Agents

Example: Creating a Customer Support AI Agent

Let's walk through a simplified example of creating a customer support AI Agent using Fewzen AI:

import { FewzenAI, Agent, NLPEngine, TaskExecutor, KnowledgeBase } from '@fewzen/ai-sdk';

// Initialize Fewzen AI
const fewzenAI = new FewzenAI('YOUR_API_KEY');

// Create a new agent
const supportAgent = new Agent('CustomerSupportAgent');

// Set up NLP engine
const nlp = new NLPEngine();
nlp.addIntent('greeting', ['hello', 'hi', 'hey']);
nlp.addIntent('order_status', ['where is my order', 'order status', 'track package']);
nlp.addEntity('order_number', /\b\d{6}\b/);

supportAgent.setNLPEngine(nlp);

// Set up task executor
const taskExecutor = new TaskExecutor();
taskExecutor.addTask('check_order_status', async (orderNumber) => {
  // Implement order status check logic here
  return `Order ${orderNumber} is in transit and will be delivered tomorrow.`;
});

supportAgent.setTaskExecutor(taskExecutor);

// Set up knowledge base
const knowledgeBase = new KnowledgeBase();
knowledgeBase.addFAQ('What is your return policy?', 'We offer a 30-day return policy for all items.');

supportAgent.setKnowledgeBase(knowledgeBase);

// Define conversation flow
supportAgent.onMessage(async (message) => {
  const intent = await nlp.detectIntent(message);
  
  if (intent === 'greeting') {
    return 'Hello! How can I assist you today?';
  } else if (intent === 'order_status') {
    const orderNumber = nlp.extractEntity('order_number', message);
    if (orderNumber) {
      return await taskExecutor.executeTask('check_order_status', orderNumber);
    } else {
      return 'I'd be happy to help you check your order status. Can you please provide your order number?';
    }
  } else {
    const answer = await knowledgeBase.findAnswer(message);
    return answer || 'I'm sorry, I don't have information on that. Is there anything else I can help you with?';
  }
});

// Deploy the agent
fewzenAI.deployAgent(supportAgent);
          

This example demonstrates a basic structure for creating a customer support AI Agent. In a real-world scenario, you would expand on this with more intents, entities, tasks, and a more comprehensive knowledge base.