curl --request POST \
  --url https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_responses/task_post \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "user_prompt": "<string>",
  "model_name": "<string>",
  "max_output_tokens": 123,
  "temperature": 123,
  "top_p": 123,
  "web_search": true,
  "system_message": "<string>",
  "message_chain": [
    "<string>"
  ],
  "use_reasoning": true,
  "tag": "<string>",
  "postback_url": "<string>",
  "pingback_url": "<string>"
}
'

import requests

url = "https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_responses/task_post"

payload = {
    "user_prompt": "<string>",
    "model_name": "<string>",
    "max_output_tokens": 123,
    "temperature": 123,
    "top_p": 123,
    "web_search": True,
    "system_message": "<string>",
    "message_chain": ["<string>"],
    "use_reasoning": True,
    "tag": "<string>",
    "postback_url": "<string>",
    "pingback_url": "<string>"
}
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: '<string>',
    model_name: '<string>',
    max_output_tokens: 123,
    temperature: 123,
    top_p: 123,
    web_search: true,
    system_message: '<string>',
    message_chain: ['<string>'],
    use_reasoning: true,
    tag: '<string>',
    postback_url: '<string>',
    pingback_url: '<string>'
  })
};

fetch('https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_responses/task_post', 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.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_responses/task_post",
  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([
    'user_prompt' => '<string>',
    'model_name' => '<string>',
    'max_output_tokens' => 123,
    'temperature' => 123,
    'top_p' => 123,
    'web_search' => true,
    'system_message' => '<string>',
    'message_chain' => [
        '<string>'
    ],
    'use_reasoning' => true,
    'tag' => '<string>',
    'postback_url' => '<string>',
    'pingback_url' => '<string>'
  ]),
  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.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_responses/task_post"

	payload := strings.NewReader("{\n  \"user_prompt\": \"<string>\",\n  \"model_name\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"temperature\": 123,\n  \"top_p\": 123,\n  \"web_search\": true,\n  \"system_message\": \"<string>\",\n  \"message_chain\": [\n    \"<string>\"\n  ],\n  \"use_reasoning\": true,\n  \"tag\": \"<string>\",\n  \"postback_url\": \"<string>\",\n  \"pingback_url\": \"<string>\"\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.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_responses/task_post")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"user_prompt\": \"<string>\",\n  \"model_name\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"temperature\": 123,\n  \"top_p\": 123,\n  \"web_search\": true,\n  \"system_message\": \"<string>\",\n  \"message_chain\": [\n    \"<string>\"\n  ],\n  \"use_reasoning\": true,\n  \"tag\": \"<string>\",\n  \"postback_url\": \"<string>\",\n  \"pingback_url\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.aisa.one/apis/v1/dataforseo/ai_optimization/gemini/llm_responses/task_post")

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  \"user_prompt\": \"<string>\",\n  \"model_name\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"temperature\": 123,\n  \"top_p\": 123,\n  \"web_search\": true,\n  \"system_message\": \"<string>\",\n  \"message_chain\": [\n    \"<string>\"\n  ],\n  \"use_reasoning\": true,\n  \"tag\": \"<string>\",\n  \"postback_url\": \"<string>\",\n  \"pingback_url\": \"<string>\"\n}"

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

{
  "version": "<string>",
  "status_code": 123,
  "status_message": "<string>",
  "time": "<string>",
  "cost": 123,
  "tasks_count": 123,
  "tasks_error": 123,
  "tasks": [
    "<string>"
  ],
  "tasks.id": "<string>",
  "tasks.status_code": 123,
  "tasks.status_message": "<string>",
  "tasks.time": "<string>",
  "tasks.cost": 123,
  "tasks.result_count": 123,
  "tasks.path": [
    "<string>"
  ],
  "tasks.data": {},
  "tasks.result": [
    "<string>"
  ]
}