curl --request GET \
  --url https://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid} \
  --header 'Authorization: Bearer <token>'

import requests

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

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

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 => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

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

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://{subdomain}.mihu.ai/api/v1/qa-agents/{uuid}")
  .header("Authorization", "Bearer <token>")
  .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::Get.new(url)
request["Authorization"] = 'Bearer <token>'

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

{
  "success": true,
  "message": "QA agent retrieved 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": []
}