curl --request POST \
  --url https://api.getdecisional.ai/api/v1/knowledge-engines \
  --header 'Authorization: Basic <encoded-value>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "Fintech Companies",
  "description": "Knowledge engine for processing and analyzing fintech companies",
  "notes": {
    "tags": "fintech, startups, venture capital"
  }
}
'

import requests

url = "https://api.getdecisional.ai/api/v1/knowledge-engines"

payload = {
    "name": "Fintech Companies",
    "description": "Knowledge engine for processing and analyzing fintech companies",
    "notes": { "tags": "fintech, startups, venture capital" }
}
headers = {
    "Authorization": "Basic <encoded-value>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Basic <encoded-value>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: 'Fintech Companies',
    description: 'Knowledge engine for processing and analyzing fintech companies',
    notes: {tags: 'fintech, startups, venture capital'}
  })
};

fetch('https://api.getdecisional.ai/api/v1/knowledge-engines', 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.getdecisional.ai/api/v1/knowledge-engines",
  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([
    'name' => 'Fintech Companies',
    'description' => 'Knowledge engine for processing and analyzing fintech companies',
    'notes' => [
        'tags' => 'fintech, startups, venture capital'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Basic <encoded-value>",
    "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.getdecisional.ai/api/v1/knowledge-engines"

	payload := strings.NewReader("{\n  \"name\": \"Fintech Companies\",\n  \"description\": \"Knowledge engine for processing and analyzing fintech companies\",\n  \"notes\": {\n    \"tags\": \"fintech, startups, venture capital\"\n  }\n}")

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

	req.Header.Add("Authorization", "Basic <encoded-value>")
	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.getdecisional.ai/api/v1/knowledge-engines")
  .header("Authorization", "Basic <encoded-value>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"Fintech Companies\",\n  \"description\": \"Knowledge engine for processing and analyzing fintech companies\",\n  \"notes\": {\n    \"tags\": \"fintech, startups, venture capital\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.getdecisional.ai/api/v1/knowledge-engines")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Basic <encoded-value>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"Fintech Companies\",\n  \"description\": \"Knowledge engine for processing and analyzing fintech companies\",\n  \"notes\": {\n    \"tags\": \"fintech, startups, venture capital\"\n  }\n}"

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

{
  "id": "kng_abc123xyz789",
  "name": "Fintech Companies",
  "description": "Knowledge engine for processing and analyzing fintech companies",
  "notes": {
    "category": "fintech"
  },
  "status": "ready",
  "created_at": 1679644800
}

{
  "error": "Invalid knowledge engine name: exceeds maximum length of 50 characters"
}