curl --request POST \
  --url https://api.gbase.ai/v1/datasets \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "description": "<string>",
  "url_rules": "<unknown>",
  "organization_id": "<string>",
  "id": "<string>",
  "embedding_model_name": "<string>",
  "embedding_dimensions": 2,
  "company_id": "<string>"
}
'

import requests

url = "https://api.gbase.ai/v1/datasets"

payload = {
    "name": "<string>",
    "description": "<string>",
    "url_rules": "<unknown>",
    "organization_id": "<string>",
    "id": "<string>",
    "embedding_model_name": "<string>",
    "embedding_dimensions": 2,
    "company_id": "<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({
    name: '<string>',
    description: '<string>',
    url_rules: '<unknown>',
    organization_id: '<string>',
    id: '<string>',
    embedding_model_name: '<string>',
    embedding_dimensions: 2,
    company_id: '<string>'
  })
};

fetch('https://api.gbase.ai/v1/datasets', 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.gbase.ai/v1/datasets",
  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' => '<string>',
    'description' => '<string>',
    'url_rules' => '<unknown>',
    'organization_id' => '<string>',
    'id' => '<string>',
    'embedding_model_name' => '<string>',
    'embedding_dimensions' => 2,
    'company_id' => '<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.gbase.ai/v1/datasets"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"url_rules\": \"<unknown>\",\n  \"organization_id\": \"<string>\",\n  \"id\": \"<string>\",\n  \"embedding_model_name\": \"<string>\",\n  \"embedding_dimensions\": 2,\n  \"company_id\": \"<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.gbase.ai/v1/datasets")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"url_rules\": \"<unknown>\",\n  \"organization_id\": \"<string>\",\n  \"id\": \"<string>\",\n  \"embedding_model_name\": \"<string>\",\n  \"embedding_dimensions\": 2,\n  \"company_id\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.gbase.ai/v1/datasets")

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  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"url_rules\": \"<unknown>\",\n  \"organization_id\": \"<string>\",\n  \"id\": \"<string>\",\n  \"embedding_model_name\": \"<string>\",\n  \"embedding_dimensions\": 2,\n  \"company_id\": \"<string>\"\n}"

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

{
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "name": "<string>",
  "robots": [
    {
      "created_at": "2023-11-07T05:31:56Z",
      "name": "<string>",
      "apis": [
        {
          "created_at": "2023-11-07T05:31:56Z",
          "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
          "function_call_name": "<string>",
          "openapi_url": "<string>",
          "server_url": "<string>",
          "path": "<string>",
          "method": "<string>",
          "header_authorization": "<unknown>",
          "function_type": "<string>",
          "function_status": "<string>",
          "share_status": "<string>",
          "user_id": "<string>",
          "function_call_description": "<string>",
          "matching_keywords": "<unknown>",
          "llm_sta": true,
          "body": "<unknown>",
          "auth_token_curl": "<unknown>",
          "body_required": "<unknown>",
          "request_explanation": "<string>"
        }
      ],
      "user_id": "<string>",
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "discrible": "<string>",
      "subject_name": "<string>",
      "prompt": "<string>",
      "robot_type": "rag",
      "ai_type": "private",
      "ai_model": "file",
      "ai_status": "ready",
      "organization_id": "<string>"
    }
  ],
  "user_id": "<string>",
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "data_status": "init",
  "description": "<string>",
  "metadata": "<unknown>",
  "url_rules": "<unknown>",
  "company_id": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}