curl --request POST \
  --url https://api.adside.ai/v1/workspaces/{workspaceId}/media/recommendations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "task": "<string>",
  "aspectRatio": "<string>",
  "duration": 15,
  "generateAudio": true,
  "inputs": {
    "firstFrame": true,
    "lastFrame": true,
    "referenceImages": 7
  },
  "maxPriceUsd": 123
}
'

import requests

url = "https://api.adside.ai/v1/workspaces/{workspaceId}/media/recommendations"

payload = {
    "task": "<string>",
    "aspectRatio": "<string>",
    "duration": 15,
    "generateAudio": True,
    "inputs": {
        "firstFrame": True,
        "lastFrame": True,
        "referenceImages": 7
    },
    "maxPriceUsd": 123
}
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({
    task: '<string>',
    aspectRatio: '<string>',
    duration: 15,
    generateAudio: true,
    inputs: {firstFrame: true, lastFrame: true, referenceImages: 7},
    maxPriceUsd: 123
  })
};

fetch('https://api.adside.ai/v1/workspaces/{workspaceId}/media/recommendations', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.adside.ai/v1/workspaces/{workspaceId}/media/recommendations",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'task' => '<string>',
    'aspectRatio' => '<string>',
    'duration' => 15,
    'generateAudio' => true,
    'inputs' => [
        'firstFrame' => true,
        'lastFrame' => true,
        'referenceImages' => 7
    ],
    'maxPriceUsd' => 123
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://api.adside.ai/v1/workspaces/{workspaceId}/media/recommendations"

	payload := strings.NewReader("{\n  \"task\": \"<string>\",\n  \"aspectRatio\": \"<string>\",\n  \"duration\": 15,\n  \"generateAudio\": true,\n  \"inputs\": {\n    \"firstFrame\": true,\n    \"lastFrame\": true,\n    \"referenceImages\": 7\n  },\n  \"maxPriceUsd\": 123\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.adside.ai/v1/workspaces/{workspaceId}/media/recommendations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"task\": \"<string>\",\n  \"aspectRatio\": \"<string>\",\n  \"duration\": 15,\n  \"generateAudio\": true,\n  \"inputs\": {\n    \"firstFrame\": true,\n    \"lastFrame\": true,\n    \"referenceImages\": 7\n  },\n  \"maxPriceUsd\": 123\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.adside.ai/v1/workspaces/{workspaceId}/media/recommendations")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"task\": \"<string>\",\n  \"aspectRatio\": \"<string>\",\n  \"duration\": 15,\n  \"generateAudio\": true,\n  \"inputs\": {\n    \"firstFrame\": true,\n    \"lastFrame\": true,\n    \"referenceImages\": 7\n  },\n  \"maxPriceUsd\": 123\n}"

response = http.request(request)
puts response.read_body

{
  "useCase": "<string>",
  "type": "image",
  "classified": true,
  "constraints": {
    "aspectRatio": "<string>",
    "duration": 0,
    "generateAudio": true,
    "firstFrame": true,
    "referenceImages": 0,
    "maxPriceUsd": 123,
    "priority": "quality"
  },
  "note": "<string>",
  "recommendations": [
    {
      "model": "<string>",
      "name": "<string>",
      "why": "<string>",
      "parameters": {},
      "priceUsd": 1,
      "requires": [
        "first_frame"
      ],
      "promptGuide": "<string>"
    }
  ],
  "unmet": [
    "<string>"
  ],
  "guidanceVersion": 0
}