curl --request PATCH \
  --url https://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "Support QA Agent v2",
  "strictness_level": 80,
  "skills": [
    {
      "uuid": "9c2f5a44-1b7e-4f4a-9a6c-3d2f8e7b1c0a",
      "name": "Empathy",
      "weight": 30
    },
    {
      "uuid": "4b8e2d11-7f3a-4c5e-8d9b-1a2c3e4f5a6b",
      "name": "Compliance",
      "weight": 40
    },
    {
      "name": "Product Knowledge",
      "weight": 30,
      "description": "Accuracy of technical answers",
      "is_custom": true
    }
  ]
}
'

import requests

url = "https://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}"

payload = {
    "name": "Support QA Agent v2",
    "strictness_level": 80,
    "skills": [
        {
            "uuid": "9c2f5a44-1b7e-4f4a-9a6c-3d2f8e7b1c0a",
            "name": "Empathy",
            "weight": 30
        },
        {
            "uuid": "4b8e2d11-7f3a-4c5e-8d9b-1a2c3e4f5a6b",
            "name": "Compliance",
            "weight": 40
        },
        {
            "name": "Product Knowledge",
            "weight": 30,
            "description": "Accuracy of technical answers",
            "is_custom": True
        }
    ]
}
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({
    name: 'Support QA Agent v2',
    strictness_level: 80,
    skills: [
      {uuid: '9c2f5a44-1b7e-4f4a-9a6c-3d2f8e7b1c0a', name: 'Empathy', weight: 30},
      {uuid: '4b8e2d11-7f3a-4c5e-8d9b-1a2c3e4f5a6b', name: 'Compliance', weight: 40},
      {
        name: 'Product Knowledge',
        weight: 30,
        description: 'Accuracy of technical answers',
        is_custom: true
      }
    ]
  })
};

fetch('https://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}', 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://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}",
  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' => 'Support QA Agent v2',
    'strictness_level' => 80,
    'skills' => [
        [
                'uuid' => '9c2f5a44-1b7e-4f4a-9a6c-3d2f8e7b1c0a',
                'name' => 'Empathy',
                'weight' => 30
        ],
        [
                'uuid' => '4b8e2d11-7f3a-4c5e-8d9b-1a2c3e4f5a6b',
                'name' => 'Compliance',
                'weight' => 40
        ],
        [
                'name' => 'Product Knowledge',
                'weight' => 30,
                'description' => 'Accuracy of technical answers',
                'is_custom' => true
        ]
    ]
  ]),
  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://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}"

	payload := strings.NewReader("{\n  \"name\": \"Support QA Agent v2\",\n  \"strictness_level\": 80,\n  \"skills\": [\n    {\n      \"uuid\": \"9c2f5a44-1b7e-4f4a-9a6c-3d2f8e7b1c0a\",\n      \"name\": \"Empathy\",\n      \"weight\": 30\n    },\n    {\n      \"uuid\": \"4b8e2d11-7f3a-4c5e-8d9b-1a2c3e4f5a6b\",\n      \"name\": \"Compliance\",\n      \"weight\": 40\n    },\n    {\n      \"name\": \"Product Knowledge\",\n      \"weight\": 30,\n      \"description\": \"Accuracy of technical answers\",\n      \"is_custom\": true\n    }\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://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"Support QA Agent v2\",\n  \"strictness_level\": 80,\n  \"skills\": [\n    {\n      \"uuid\": \"9c2f5a44-1b7e-4f4a-9a6c-3d2f8e7b1c0a\",\n      \"name\": \"Empathy\",\n      \"weight\": 30\n    },\n    {\n      \"uuid\": \"4b8e2d11-7f3a-4c5e-8d9b-1a2c3e4f5a6b\",\n      \"name\": \"Compliance\",\n      \"weight\": 40\n    },\n    {\n      \"name\": \"Product Knowledge\",\n      \"weight\": 30,\n      \"description\": \"Accuracy of technical answers\",\n      \"is_custom\": true\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}")

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  \"name\": \"Support QA Agent v2\",\n  \"strictness_level\": 80,\n  \"skills\": [\n    {\n      \"uuid\": \"9c2f5a44-1b7e-4f4a-9a6c-3d2f8e7b1c0a\",\n      \"name\": \"Empathy\",\n      \"weight\": 30\n    },\n    {\n      \"uuid\": \"4b8e2d11-7f3a-4c5e-8d9b-1a2c3e4f5a6b\",\n      \"name\": \"Compliance\",\n      \"weight\": 40\n    },\n    {\n      \"name\": \"Product Knowledge\",\n      \"weight\": 30,\n      \"description\": \"Accuracy of technical answers\",\n      \"is_custom\": true\n    }\n  ]\n}"

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

{
  "success": true,
  "message": "QA agent updated successfully",
  "data": {
    "uuid": "7e1c9b3a-5d2f-4c8e-b6a1-0f9d8c7b6a5e",
    "name": "Support QA Agent",
    "description": "Evaluates support conversations for empathy and compliance",
    "evaluates_agent_type": "human",
    "is_active": true,
    "is_default": true,
    "evaluation_model": "advanced",
    "strictness_level": 70,
    "confidence_threshold": 85,
    "auto_fail_threshold": 3,
    "language": "English",
    "custom_instructions": "Focus on product knowledge when evaluating technical support calls.",
    "automatic_scoring": true,
    "sentiment_analysis": true,
    "compliance_checking": true,
    "skills": [
      {
        "uuid": "9c2f5a44-1b7e-4f4a-9a6c-3d2f8e7b1c0a",
        "name": "Empathy",
        "description": "Understanding and acknowledging customer concerns",
        "weight": 20,
        "max_score": 10,
        "ai_evaluation_prompt": "Evaluate whether the agent acknowledged the customer's feelings.",
        "positive_items": [
          {
            "name": "Used the customer's name",
            "points": 5
          }
        ],
        "penalty_items": [
          {
            "name": "Interrupted the customer",
            "penalty_points": -5,
            "is_auto_fail": false
          }
        ],
        "order": 2,
        "is_custom": false
      }
    ],
    "total_weight": 100,
    "weights_balanced": true,
    "created_at": "2026-06-04T10:15:30+00:00",
    "updated_at": "2026-06-04T10:15:30+00:00"
  }
}

{
  "success": false,
  "message": "Agent not found",
  "data": []
}

{
  "success": false,
  "message": "Agent not found",
  "data": []
}

{
  "success": false,
  "message": "Agent not found",
  "data": []
}

{
  "success": false,
  "message": "Agent not found",
  "data": []
}