curl https://api.naga.ac/v1/chat/completions \
  -H "Authorization: Bearer $NAGA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gpt-4o-mini",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": "Say hello in one word."
    }
  ]
}'

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["NAGA_API_KEY"],
    base_url="https://api.naga.ac/v1",
)

result = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[
        {
            "role": "system",
            "content": "You are a helpful assistant."
        },
        {
            "role": "user",
            "content": "Say hello in one word."
        }
    ],
)
print(result)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.NAGA_API_KEY,
  baseURL: "https://api.naga.ac/v1",
});

const result = await client.chat.completions.create({
  model: "gpt-4o-mini",
  messages: [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": "Say hello in one word."
    }
  ],
});
console.log(result);

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.naga.ac/v1/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"gpt-4o-mini\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a helpful assistant.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": \"Say hello in one word.\"\n    }\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}