curl --request POST \
  --url https://api.maxapi.ai/luma-vip/luma/v1/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "user_prompt": "robot fighting",
  "aspect_ratio": "16:9",
  "expand_prompt": true,
  "image_url": ""
}
'

import requests

url = "https://api.maxapi.ai/luma-vip/luma/v1/generations"

payload = {
    "user_prompt": "robot fighting",
    "aspect_ratio": "16:9",
    "expand_prompt": True,
    "image_url": ""
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    user_prompt: 'robot fighting',
    aspect_ratio: '16:9',
    expand_prompt: true,
    image_url: ''
  })
};

fetch('https://api.maxapi.ai/luma-vip/luma/v1/generations', 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/luma-vip/luma/v1/generations"

	payload := strings.NewReader("{\n  \"user_prompt\": \"robot fighting\",\n  \"aspect_ratio\": \"16:9\",\n  \"expand_prompt\": true,\n  \"image_url\": \"\"\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))

}

HttpResponse<String> response = Unirest.post("https://api.maxapi.ai/luma-vip/luma/v1/generations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"user_prompt\": \"robot fighting\",\n  \"aspect_ratio\": \"16:9\",\n  \"expand_prompt\": true,\n  \"image_url\": \"\"\n}")
  .asString();

{
  "id": "<string>",
  "prompt": "<string>",
  "state": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "video": "<string>",
  "liked": true,
  "estimate_wait_seconds": 123
}