curl --request PATCH \
  --url https://api.gbase.ai/v1/ais/{ai_id} \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "discrible": "<string>",
  "robot_type": "rag",
  "prompt": "<string>",
  "subject_name": "<string>",
  "ai_model": "<string>",
  "embedding_model_name": "<string>",
  "embedding_dimensions": 2
}
'

import requests

url = "https://api.gbase.ai/v1/ais/{ai_id}"

payload = {
    "name": "<string>",
    "discrible": "<string>",
    "robot_type": "rag",
    "prompt": "<string>",
    "subject_name": "<string>",
    "ai_model": "<string>",
    "embedding_model_name": "<string>",
    "embedding_dimensions": 2
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'PATCH',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: '<string>',
    discrible: '<string>',
    robot_type: 'rag',
    prompt: '<string>',
    subject_name: '<string>',
    ai_model: '<string>',
    embedding_model_name: '<string>',
    embedding_dimensions: 2
  })
};

fetch('https://api.gbase.ai/v1/ais/{ai_id}', 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/ais/{ai_id}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PATCH",
  CURLOPT_POSTFIELDS => json_encode([
    'name' => '<string>',
    'discrible' => '<string>',
    'robot_type' => 'rag',
    'prompt' => '<string>',
    'subject_name' => '<string>',
    'ai_model' => '<string>',
    'embedding_model_name' => '<string>',
    'embedding_dimensions' => 2
  ]),
  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.gbase.ai/v1/ais/{ai_id}"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"discrible\": \"<string>\",\n  \"robot_type\": \"rag\",\n  \"prompt\": \"<string>\",\n  \"subject_name\": \"<string>\",\n  \"ai_model\": \"<string>\",\n  \"embedding_model_name\": \"<string>\",\n  \"embedding_dimensions\": 2\n}")

	req, _ := http.NewRequest("PATCH", 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.patch("https://api.gbase.ai/v1/ais/{ai_id}")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"discrible\": \"<string>\",\n  \"robot_type\": \"rag\",\n  \"prompt\": \"<string>\",\n  \"subject_name\": \"<string>\",\n  \"ai_model\": \"<string>\",\n  \"embedding_model_name\": \"<string>\",\n  \"embedding_dimensions\": 2\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.gbase.ai/v1/ais/{ai_id}")

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

request = Net::HTTP::Patch.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"<string>\",\n  \"discrible\": \"<string>\",\n  \"robot_type\": \"rag\",\n  \"prompt\": \"<string>\",\n  \"subject_name\": \"<string>\",\n  \"ai_model\": \"<string>\",\n  \"embedding_model_name\": \"<string>\",\n  \"embedding_dimensions\": 2\n}"

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

{
  "created_at": "2023-11-07T05:31:56Z",
  "name": "<string>",
  "user": {
    "created_at": "2023-11-07T05:31:56Z",
    "user_id": "<string>",
    "email": "<string>",
    "name": "<string>",
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "picture": "<string>",
    "locale": "<string>",
    "corporate": false,
    "is_independent": false,
    "admin_overrides": "<unknown>",
    "dealer_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  },
  "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>"
    }
  ],
  "datasets": [
    {
      "created_at": "2023-11-07T05:31:56Z",
      "updated_at": "2023-11-07T05:31:56Z",
      "name": "<string>",
      "user_id": "<string>",
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "data_status": "init",
      "description": "<string>",
      "metadata": "<unknown>",
      "url_rules": "<unknown>",
      "organization_id": "<string>"
    }
  ],
  "questions": [
    {
      "question": "<string>",
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "question_type": "generator"
    }
  ],
  "file_count": 123,
  "faq_count": 123,
  "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",
  "company_id": "<string>"
}

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