curl --request PATCH \
  --url https://api.fetchhive.com/v1/public/workspaces/{workspace_id}/agents/{id} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "agent": {
    "name": "Updated Agent",
    "llm_model": "gpt-4.1-mini",
    "model_type": "hosted",
    "description": "A helpful assistant",
    "instruction_prompt": "You are a helpful assistant",
    "temperature": 0.7,
    "max_token": 1000,
    "max_thinking_token": 1024,
    "max_tool_calls": 0
  }
}
'

import requests

url = "https://api.fetchhive.com/v1/public/workspaces/{workspace_id}/agents/{id}"

payload = { "agent": {
        "name": "Updated Agent",
        "llm_model": "gpt-4.1-mini",
        "model_type": "hosted",
        "description": "A helpful assistant",
        "instruction_prompt": "You are a helpful assistant",
        "temperature": 0.7,
        "max_token": 1000,
        "max_thinking_token": 1024,
        "max_tool_calls": 0
    } }
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'PATCH',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    agent: {
      name: 'Updated Agent',
      llm_model: 'gpt-4.1-mini',
      model_type: 'hosted',
      description: 'A helpful assistant',
      instruction_prompt: 'You are a helpful assistant',
      temperature: 0.7,
      max_token: 1000,
      max_thinking_token: 1024,
      max_tool_calls: 0
    }
  })
};

fetch('https://api.fetchhive.com/v1/public/workspaces/{workspace_id}/agents/{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.fetchhive.com/v1/public/workspaces/{workspace_id}/agents/{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([
    'agent' => [
        'name' => 'Updated Agent',
        'llm_model' => 'gpt-4.1-mini',
        'model_type' => 'hosted',
        'description' => 'A helpful assistant',
        'instruction_prompt' => 'You are a helpful assistant',
        'temperature' => 0.7,
        'max_token' => 1000,
        'max_thinking_token' => 1024,
        'max_tool_calls' => 0
    ]
  ]),
  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.fetchhive.com/v1/public/workspaces/{workspace_id}/agents/{id}"

	payload := strings.NewReader("{\n  \"agent\": {\n    \"name\": \"Updated Agent\",\n    \"llm_model\": \"gpt-4.1-mini\",\n    \"model_type\": \"hosted\",\n    \"description\": \"A helpful assistant\",\n    \"instruction_prompt\": \"You are a helpful assistant\",\n    \"temperature\": 0.7,\n    \"max_token\": 1000,\n    \"max_thinking_token\": 1024,\n    \"max_tool_calls\": 0\n  }\n}")

	req, _ := http.NewRequest("PATCH", 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.patch("https://api.fetchhive.com/v1/public/workspaces/{workspace_id}/agents/{id}")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"agent\": {\n    \"name\": \"Updated Agent\",\n    \"llm_model\": \"gpt-4.1-mini\",\n    \"model_type\": \"hosted\",\n    \"description\": \"A helpful assistant\",\n    \"instruction_prompt\": \"You are a helpful assistant\",\n    \"temperature\": 0.7,\n    \"max_token\": 1000,\n    \"max_thinking_token\": 1024,\n    \"max_tool_calls\": 0\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.fetchhive.com/v1/public/workspaces/{workspace_id}/agents/{id}")

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

request = Net::HTTP::Patch.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"agent\": {\n    \"name\": \"Updated Agent\",\n    \"llm_model\": \"gpt-4.1-mini\",\n    \"model_type\": \"hosted\",\n    \"description\": \"A helpful assistant\",\n    \"instruction_prompt\": \"You are a helpful assistant\",\n    \"temperature\": 0.7,\n    \"max_token\": 1000,\n    \"max_thinking_token\": 1024,\n    \"max_tool_calls\": 0\n  }\n}"

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

{
  "message": "Successfully updated an agent.",
  "agent": {}
}

{
  "error": "Invalid access."
}

{
  "error": "Invalid access."
}

{
  "error": "Agent not found.",
  "error_code": "<string>"
}