Quick Start

1. Get Your API Key

Visit megallm.io/auth/signup and create an account

Navigate to Dashboard

Go to megallm.io/dashboard

Generate API Key

Click “Create New API Key” in the API Keys section

Copy Key

Copy your key (starts with sk-mega-) and save it securely

Keep your API key secret! Never commit it to version control or share it publicly.

2. Make Your First Request

Choose your preferred method:

Python
JavaScript
cURL
CLI

# Install OpenAI SDK
pip install openai

from openai import OpenAI

# Initialize client
client = OpenAI(
    base_url="https://ai.megallm.io/v1",
    api_key="your-megallm-api-key"  # Replace with your key
)

# Make a request
response = client.chat.completions.create(
    model="gpt-4",
    messages=[
        {"role": "user", "content": "Say hello!"}
    ]
)

print(response.choices[0].message.content)

# Install OpenAI SDK
npm install openai

import OpenAI from 'openai';

// Initialize client
const client = new OpenAI({
  baseURL: 'https://ai.megallm.io/v1',
  apiKey: 'your-megallm-api-key' // Replace with your key
});

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

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

curl https://ai.megallm.io/v1/chat/completions \
  -H "Authorization: Bearer YOUR_MEGALLM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4",
    "messages": [
      {"role": "user", "content": "Say hello!"}
    ]
  }'

# Install MegaLLM CLI
npx megallm@latest

# Follow the interactive setup

See CLI Documentation for details.

3. Try Different Models

One of MegaLLM’s superpowers is instant model switching. Just change the model parameter:

# Try GPT-4
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Explain quantum computing"}]
)

# Switch to Claude
response = client.chat.completions.create(
    model="claude-opus-4-1-20250805",
    messages=[{"role": "user", "content": "Explain quantum computing"}]
)

# Try Gemini
response = client.chat.completions.create(
    model="gemini-2.5-pro",
    messages=[{"role": "user", "content": "Explain quantum computing"}]
)

Browse all available models at Models Catalog

What’s Next?

Complete Setup

Environment variables and configuration

First Request Tutorial

Detailed walkthrough with examples

Browse Models

Explore all 70+ available models

API Reference

Complete API documentation

Common Questions

Which model should I use?

Start with gpt-4 for general use, claude-3.5-sonnet for long context, or gpt-3.5-turbo for speed and cost efficiency.See Models Catalog for detailed comparisons.

How much does it cost?

You pay only for what you use. Different models have different pricing. Most testing can be done for under $1.Check current pricing in your Dashboard.

Can I use my existing OpenAI/Anthropic code?

Yes! Just change the base URL. All your existing code works without modification.

What if a model is down?

MegaLLM has automatic failover. If a model is unavailable, you can quickly switch to an alternative.

Need Help?

Full Tutorial: First Request Guide
Documentation: Developer Docs
FAQ: Common Questions
Support: support@megallm.io
Discord: Join Community

Overview

Getting Started

1. Get Your API Key

2. Make Your First Request

3. Try Different Models

What’s Next?

Complete Setup

First Request Tutorial

Browse Models

API Reference

Common Questions

Need Help?

​1. Get Your API Key

​2. Make Your First Request

​3. Try Different Models

​What’s Next?

Complete Setup

First Request Tutorial

Browse Models

API Reference

​Common Questions

​Need Help?

1. Get Your API Key

2. Make Your First Request

3. Try Different Models

What’s Next?

Common Questions

Need Help?