Getting Started with Real-time AI APIs

Build and deploy real-time AI APIs that scale effortlessly with LegionEdge's platform.

Introduction

Real-time AI APIs are the backbone of modern intelligent applications. This guide will walk you through building, deploying, and scaling real-time AI APIs using LegionEdge.

Prerequisites

Before we begin, ensure you have:

A LegionEdge account
Node.js 18+ installed
Basic understanding of REST APIs
Familiarity with AI/ML concepts

Setting Up Your Project

npx create-legionedge-app my-ai-api
cd my-ai-api
npm install

Creating Your First AI Endpoint

import { createAIEndpoint } from '@legionedge/api';

export const chatbot = createAIEndpoint({
  model: 'gpt-4',
  streaming: true,
  rateLimit: {
    requests: 100,
    window: '1m'
  }
});

Implementing Real-time Streaming

Real-time streaming allows your users to see AI responses as they're generated:

export async function handleStream(request: Request) {
  const { prompt } = await request.json();
  
  return chatbot.stream({
    prompt,
    onToken: (token) => {
      // Send token to client
      console.log(token);
    },
    onComplete: (response) => {
      // Handle completion
      console.log('Complete:', response);
    }
  });
}