Quick Start

curl https://ai.megallm.io/v1/chat/completions \
  -H "Authorization: Bearer $MEGALLM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4",
    "messages": [
      {
        "role": "user",
        "content": "Hello! Can you introduce yourself?"
      }
    ],
    "max_tokens": 100
  }'

import requests
import os

response = requests.post(
    "https://ai.megallm.io/v1/chat/completions",
    headers={
        "Authorization": f"Bearer {os.getenv('MEGALLM_API_KEY')}",
        "Content-Type": "application/json"
    },
    json={
        "model": "gpt-4",
        "messages": [
            {
                "role": "user",
                "content": "Hello! Can you introduce yourself?"
            }
        ],
        "max_tokens": 100
    }
)

print(response.json())

const response = await fetch("https://ai.megallm.io/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.MEGALLM_API_KEY}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    model: "gpt-4",
    messages: [
      {
        role: "user",
        content: "Hello! Can you introduce yourself?"
      }
    ],
    max_tokens: 100
  })
});

const data = await response.json();
console.log(data);

package main

import (
    "bytes"
    "encoding/json"
    "net/http"
    "os"
)

func main() {
    payload := map[string]interface{}{
        "model": "gpt-4",
        "messages": []map[string]string{
            {
                "role": "user",
                "content": "Hello! Can you introduce yourself?",
            },
        },
        "max_tokens": 100,
    }

    body, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST",
        "https://ai.megallm.io/v1/chat/completions",
        bytes.NewBuffer(body))

    req.Header.Set("Authorization", "Bearer " + os.Getenv("MEGALLM_API_KEY"))
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, _ := client.Do(req)
    defer resp.Body.Close()
}