curl --request POST \
  --url https://api.maxapi.ai/vertex/v1/publishers/google/models/{model}:predictLongRunning \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "instances": [
    {
      "prompt": "Continue this video with a dramatic sunset",
      "video": {
        "bytesBase64Encoded": "base64编码的视频数据...",
        "mimeType": "video/mp4"
      }
    }
  ],
  "parameters": {
    "aspectRatio": "16:9",
    "durationSeconds": 8
  }
}
'

import requests

url = "https://api.maxapi.ai/vertex/v1/publishers/google/models/{model}:predictLongRunning"

payload = {
    "instances": [
        {
            "prompt": "Continue this video with a dramatic sunset",
            "video": {
                "bytesBase64Encoded": "base64编码的视频数据...",
                "mimeType": "video/mp4"
            }
        }
    ],
    "parameters": {
        "aspectRatio": "16:9",
        "durationSeconds": 8
    }
}
headers = {
    "Authorization": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    instances: [
      {
        prompt: 'Continue this video with a dramatic sunset',
        video: {bytesBase64Encoded: 'base64编码的视频数据...', mimeType: 'video/mp4'}
      }
    ],
    parameters: {aspectRatio: '16:9', durationSeconds: 8}
  })
};

fetch('https://api.maxapi.ai/vertex/v1/publishers/google/models/{model}:predictLongRunning', 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/vertex/v1/publishers/google/models/{model}:predictLongRunning"

	payload := strings.NewReader("{\n  \"instances\": [\n    {\n      \"prompt\": \"Continue this video with a dramatic sunset\",\n      \"video\": {\n        \"bytesBase64Encoded\": \"base64编码的视频数据...\",\n        \"mimeType\": \"video/mp4\"\n      }\n    }\n  ],\n  \"parameters\": {\n    \"aspectRatio\": \"16:9\",\n    \"durationSeconds\": 8\n  }\n}")

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

	req.Header.Add("Authorization", "<api-key>")
	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/vertex/v1/publishers/google/models/{model}:predictLongRunning")
  .header("Authorization", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"instances\": [\n    {\n      \"prompt\": \"Continue this video with a dramatic sunset\",\n      \"video\": {\n        \"bytesBase64Encoded\": \"base64编码的视频数据...\",\n        \"mimeType\": \"video/mp4\"\n      }\n    }\n  ],\n  \"parameters\": {\n    \"aspectRatio\": \"16:9\",\n    \"durationSeconds\": 8\n  }\n}")
  .asString();

{
  "id": "<string>",
  "status": "<string>",
  "model": "<string>"
}