curl --request POST \
  --url https://api.maxapi.ai/v1/completions \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-3.5-turbo-instruct"
}
'

import requests

url = "https://api.maxapi.ai/v1/completions"

payload = { "model": "gpt-3.5-turbo-instruct" }
headers = {"Content-Type": "application/json"}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({model: 'gpt-3.5-turbo-instruct'})
};

fetch('https://api.maxapi.ai/v1/completions', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

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

func main() {

	url := "https://api.maxapi.ai/v1/completions"

	payload := strings.NewReader("{\n  \"model\": \"gpt-3.5-turbo-instruct\"\n}")

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

	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))

}

HttpResponse<String> response = Unirest.post("https://api.maxapi.ai/v1/completions")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-3.5-turbo-instruct\"\n}")
  .asString();

{
  "id": "cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7",
  "object": "text_completion",
  "created": 1589478378,
  "model": "text-davinci-003",
  "choices": [
    {
      "text": "\n\nThis is indeed a test",
      "index": 0,
      "logprobs": null,
      "finish_reason": "length"
    }
  ],
  "usage": {
    "prompt_tokens": 5,
    "completion_tokens": 7,
    "total_tokens": 12
  }
}