curl --request PATCH \
  --url https://api.example.com/api/knowledge_bases/{kb_id} \
  --header 'Content-Type: application/json' \
  --data '
{
  "knowledge_base_name": "<string>",
  "agent_id": 123,
  "context": "<string>",
  "context_url": "<string>",
  "vector_db_name_space": "<string>",
  "embedding_model": "<string>",
  "embedding_dimension": 1536,
  "description": "<string>"
}
'

import requests

url = "https://api.example.com/api/knowledge_bases/{kb_id}"

payload = {
    "knowledge_base_name": "<string>",
    "agent_id": 123,
    "context": "<string>",
    "context_url": "<string>",
    "vector_db_name_space": "<string>",
    "embedding_model": "<string>",
    "embedding_dimension": 1536,
    "description": "<string>"
}
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({
    knowledge_base_name: '<string>',
    agent_id: 123,
    context: '<string>',
    context_url: '<string>',
    vector_db_name_space: '<string>',
    embedding_model: '<string>',
    embedding_dimension: 1536,
    description: '<string>'
  })
};

fetch('https://api.example.com/api/knowledge_bases/{kb_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.example.com/api/knowledge_bases/{kb_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([
    'knowledge_base_name' => '<string>',
    'agent_id' => 123,
    'context' => '<string>',
    'context_url' => '<string>',
    'vector_db_name_space' => '<string>',
    'embedding_model' => '<string>',
    'embedding_dimension' => 1536,
    'description' => '<string>'
  ]),
  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.example.com/api/knowledge_bases/{kb_id}"

	payload := strings.NewReader("{\n  \"knowledge_base_name\": \"<string>\",\n  \"agent_id\": 123,\n  \"context\": \"<string>\",\n  \"context_url\": \"<string>\",\n  \"vector_db_name_space\": \"<string>\",\n  \"embedding_model\": \"<string>\",\n  \"embedding_dimension\": 1536,\n  \"description\": \"<string>\"\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.example.com/api/knowledge_bases/{kb_id}")
  .header("Content-Type", "application/json")
  .body("{\n  \"knowledge_base_name\": \"<string>\",\n  \"agent_id\": 123,\n  \"context\": \"<string>\",\n  \"context_url\": \"<string>\",\n  \"vector_db_name_space\": \"<string>\",\n  \"embedding_model\": \"<string>\",\n  \"embedding_dimension\": 1536,\n  \"description\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/api/knowledge_bases/{kb_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  \"knowledge_base_name\": \"<string>\",\n  \"agent_id\": 123,\n  \"context\": \"<string>\",\n  \"context_url\": \"<string>\",\n  \"vector_db_name_space\": \"<string>\",\n  \"embedding_model\": \"<string>\",\n  \"embedding_dimension\": 1536,\n  \"description\": \"<string>\"\n}"

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

{
  "id": 123,
  "knowledge_base_name": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "agent_id": 123,
  "context": "<string>",
  "context_url": "<string>",
  "vector_db_name_space": "<string>",
  "embedding_model": "<string>",
  "embedding_dimension": 123,
  "description": "<string>"
}

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