curl --request POST \
  --url https://api.kua.ai/weaver/api/v2/generations \
  --header 'Content-Type: application/json' \
  --data '
{
  "applicationId": "<string>",
  "documentId": "<string>",
  "environment": {
    "language": "<string>",
    "model": "gpt-3.5-turbo",
    "system_prompt": "<string>",
    "temperature": 0.7,
    "tone": "<string>",
    "writing_style": "<string>"
  },
  "inputs": {},
  "manual": false
}
'

import requests

url = "https://api.kua.ai/weaver/api/v2/generations"

payload = {
    "applicationId": "<string>",
    "documentId": "<string>",
    "environment": {
        "language": "<string>",
        "model": "gpt-3.5-turbo",
        "system_prompt": "<string>",
        "temperature": 0.7,
        "tone": "<string>",
        "writing_style": "<string>"
    },
    "inputs": {},
    "manual": False
}
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({
    applicationId: '<string>',
    documentId: '<string>',
    environment: {
      language: '<string>',
      model: 'gpt-3.5-turbo',
      system_prompt: '<string>',
      temperature: 0.7,
      tone: '<string>',
      writing_style: '<string>'
    },
    inputs: {},
    manual: false
  })
};

fetch('https://api.kua.ai/weaver/api/v2/generations', 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.kua.ai/weaver/api/v2/generations",
  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([
    'applicationId' => '<string>',
    'documentId' => '<string>',
    'environment' => [
        'language' => '<string>',
        'model' => 'gpt-3.5-turbo',
        'system_prompt' => '<string>',
        'temperature' => 0.7,
        'tone' => '<string>',
        'writing_style' => '<string>'
    ],
    'inputs' => [
        
    ],
    'manual' => false
  ]),
  CURLOPT_HTTPHEADER => [
    "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.kua.ai/weaver/api/v2/generations"

	payload := strings.NewReader("{\n  \"applicationId\": \"<string>\",\n  \"documentId\": \"<string>\",\n  \"environment\": {\n    \"language\": \"<string>\",\n    \"model\": \"gpt-3.5-turbo\",\n    \"system_prompt\": \"<string>\",\n    \"temperature\": 0.7,\n    \"tone\": \"<string>\",\n    \"writing_style\": \"<string>\"\n  },\n  \"inputs\": {},\n  \"manual\": false\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.kua.ai/weaver/api/v2/generations")
  .header("Content-Type", "application/json")
  .body("{\n  \"applicationId\": \"<string>\",\n  \"documentId\": \"<string>\",\n  \"environment\": {\n    \"language\": \"<string>\",\n    \"model\": \"gpt-3.5-turbo\",\n    \"system_prompt\": \"<string>\",\n    \"temperature\": 0.7,\n    \"tone\": \"<string>\",\n    \"writing_style\": \"<string>\"\n  },\n  \"inputs\": {},\n  \"manual\": false\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.kua.ai/weaver/api/v2/generations")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"applicationId\": \"<string>\",\n  \"documentId\": \"<string>\",\n  \"environment\": {\n    \"language\": \"<string>\",\n    \"model\": \"gpt-3.5-turbo\",\n    \"system_prompt\": \"<string>\",\n    \"temperature\": 0.7,\n    \"tone\": \"<string>\",\n    \"writing_style\": \"<string>\"\n  },\n  \"inputs\": {},\n  \"manual\": false\n}"

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

{
  "accountId": "<string>",
  "applicationId": "<string>",
  "applicationName": "<string>",
  "completedAt": 123,
  "createdAt": 123,
  "documentId": "<string>",
  "documentTitle": "<string>",
  "errorCode": "<string>",
  "errorMessage": {
    "en": "<string>",
    "zh": "<string>"
  },
  "id": "<string>",
  "inputs": {},
  "invocationId": "<string>",
  "productId": "<string>",
  "productTitle": "<string>",
  "result": "<unknown>",
  "resultType": "TEXT",
  "title": "<string>",
  "workspaceId": "<string>"
}