curl --request PUT \
  --url https://api.example.com/v2/ai-agents/{ai_agent_id}/postcall-analysis \
  --header 'Content-Type: application/json' \
  --data '
{
  "items": [
    {
      "type": "string",
      "name": "<string>",
      "description": "<string>",
      "analysis_prompt": "<string>",
      "temperature": 0.1,
      "model": "gpt-4o",
      "response_format": {}
    }
  ]
}
'

import requests

url = "https://api.example.com/v2/ai-agents/{ai_agent_id}/postcall-analysis"

payload = { "items": [
        {
            "type": "string",
            "name": "<string>",
            "description": "<string>",
            "analysis_prompt": "<string>",
            "temperature": 0.1,
            "model": "gpt-4o",
            "response_format": {}
        }
    ] }
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'PUT',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    items: [
      {
        type: 'string',
        name: '<string>',
        description: '<string>',
        analysis_prompt: '<string>',
        temperature: 0.1,
        model: 'gpt-4o',
        response_format: {}
      }
    ]
  })
};

fetch('https://api.example.com/v2/ai-agents/{ai_agent_id}/postcall-analysis', 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/v2/ai-agents/{ai_agent_id}/postcall-analysis",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PUT",
  CURLOPT_POSTFIELDS => json_encode([
    'items' => [
        [
                'type' => 'string',
                'name' => '<string>',
                'description' => '<string>',
                'analysis_prompt' => '<string>',
                'temperature' => 0.1,
                'model' => 'gpt-4o',
                'response_format' => [
                                
                ]
        ]
    ]
  ]),
  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/v2/ai-agents/{ai_agent_id}/postcall-analysis"

	payload := strings.NewReader("{\n  \"items\": [\n    {\n      \"type\": \"string\",\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"analysis_prompt\": \"<string>\",\n      \"temperature\": 0.1,\n      \"model\": \"gpt-4o\",\n      \"response_format\": {}\n    }\n  ]\n}")

	req, _ := http.NewRequest("PUT", 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.put("https://api.example.com/v2/ai-agents/{ai_agent_id}/postcall-analysis")
  .header("Content-Type", "application/json")
  .body("{\n  \"items\": [\n    {\n      \"type\": \"string\",\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"analysis_prompt\": \"<string>\",\n      \"temperature\": 0.1,\n      \"model\": \"gpt-4o\",\n      \"response_format\": {}\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/v2/ai-agents/{ai_agent_id}/postcall-analysis")

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

request = Net::HTTP::Put.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"items\": [\n    {\n      \"type\": \"string\",\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"analysis_prompt\": \"<string>\",\n      \"temperature\": 0.1,\n      \"model\": \"gpt-4o\",\n      \"response_format\": {}\n    }\n  ]\n}"

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

{
  "items": [
    {
      "type": "string",
      "name": "<string>",
      "description": "<string>",
      "analysis_prompt": "<string>",
      "temperature": 0.1,
      "model": "gpt-4o",
      "response_format": {}
    }
  ],
  "created_by_user_id": "<string>",
  "ai_agent_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z"
}

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