curl --request POST \
  --url http://localhost:3000/api/knowledge-bases \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "Product Documentation",
  "description": "<string>",
  "embeddingModel": "openai/text-embedding-3-small",
  "chunkConfig": {
    "strategy": "recursive",
    "size": 512,
    "overlap": 50
  }
}
'

import requests

url = "http://localhost:3000/api/knowledge-bases"

payload = {
    "name": "Product Documentation",
    "description": "<string>",
    "embeddingModel": "openai/text-embedding-3-small",
    "chunkConfig": {
        "strategy": "recursive",
        "size": 512,
        "overlap": 50
    }
}
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({
    name: 'Product Documentation',
    description: '<string>',
    embeddingModel: 'openai/text-embedding-3-small',
    chunkConfig: {strategy: 'recursive', size: 512, overlap: 50}
  })
};

fetch('http://localhost:3000/api/knowledge-bases', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_PORT => "3000",
  CURLOPT_URL => "http://localhost:3000/api/knowledge-bases",
  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' => 'Product Documentation',
    'description' => '<string>',
    'embeddingModel' => 'openai/text-embedding-3-small',
    'chunkConfig' => [
        'strategy' => 'recursive',
        'size' => 512,
        'overlap' => 50
    ]
  ]),
  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 := "http://localhost:3000/api/knowledge-bases"

	payload := strings.NewReader("{\n  \"name\": \"Product Documentation\",\n  \"description\": \"<string>\",\n  \"embeddingModel\": \"openai/text-embedding-3-small\",\n  \"chunkConfig\": {\n    \"strategy\": \"recursive\",\n    \"size\": 512,\n    \"overlap\": 50\n  }\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("http://localhost:3000/api/knowledge-bases")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"Product Documentation\",\n  \"description\": \"<string>\",\n  \"embeddingModel\": \"openai/text-embedding-3-small\",\n  \"chunkConfig\": {\n    \"strategy\": \"recursive\",\n    \"size\": 512,\n    \"overlap\": 50\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("http://localhost:3000/api/knowledge-bases")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"Product Documentation\",\n  \"description\": \"<string>\",\n  \"embeddingModel\": \"openai/text-embedding-3-small\",\n  \"chunkConfig\": {\n    \"strategy\": \"recursive\",\n    \"size\": 512,\n    \"overlap\": 50\n  }\n}"

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