curl --request PATCH \
  --url https://api.openmic.ai/v1/bots/{uid} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data @- <<EOF
{
  "name": "Updated Customer Support Bot",
  "prompt": "You are an advanced customer support assistant with expertise in technical issues.",
  "voice_speed": 1.1,
  "llm_model_temperature": 0.8,
  "call_settings": {
    "max_call_duration": 15,
    "silence_timeout": 20,
    "voicemail_detection_enabled": true,
    "voicemail_action": "leave_message",
    "voicemail_message_type": "prompt",
    "voicemail_message": "Generate a voicemail explaining why I called based on the customer's recent support ticket."
  }
}
EOF

import requests

url = "https://api.openmic.ai/v1/bots/{uid}"

payload = {
    "name": "Updated Customer Support Bot",
    "prompt": "You are an advanced customer support assistant with expertise in technical issues.",
    "voice_speed": 1.1,
    "llm_model_temperature": 0.8,
    "call_settings": {
        "max_call_duration": 15,
        "silence_timeout": 20,
        "voicemail_detection_enabled": True,
        "voicemail_action": "leave_message",
        "voicemail_message_type": "prompt",
        "voicemail_message": "Generate a voicemail explaining why I called based on the customer's recent support ticket."
    }
}
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: 'Updated Customer Support Bot',
    prompt: 'You are an advanced customer support assistant with expertise in technical issues.',
    voice_speed: 1.1,
    llm_model_temperature: 0.8,
    call_settings: {
      max_call_duration: 15,
      silence_timeout: 20,
      voicemail_detection_enabled: true,
      voicemail_action: 'leave_message',
      voicemail_message_type: 'prompt',
      voicemail_message: 'Generate a voicemail explaining why I called based on the customer\'s recent support ticket.'
    }
  })
};

fetch('https://api.openmic.ai/v1/bots/{uid}', 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.openmic.ai/v1/bots/{uid}",
  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' => 'Updated Customer Support Bot',
    'prompt' => 'You are an advanced customer support assistant with expertise in technical issues.',
    'voice_speed' => 1.1,
    'llm_model_temperature' => 0.8,
    'call_settings' => [
        'max_call_duration' => 15,
        'silence_timeout' => 20,
        'voicemail_detection_enabled' => true,
        'voicemail_action' => 'leave_message',
        'voicemail_message_type' => 'prompt',
        'voicemail_message' => 'Generate a voicemail explaining why I called based on the customer\'s recent support ticket.'
    ]
  ]),
  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.openmic.ai/v1/bots/{uid}"

	payload := strings.NewReader("{\n  \"name\": \"Updated Customer Support Bot\",\n  \"prompt\": \"You are an advanced customer support assistant with expertise in technical issues.\",\n  \"voice_speed\": 1.1,\n  \"llm_model_temperature\": 0.8,\n  \"call_settings\": {\n    \"max_call_duration\": 15,\n    \"silence_timeout\": 20,\n    \"voicemail_detection_enabled\": true,\n    \"voicemail_action\": \"leave_message\",\n    \"voicemail_message_type\": \"prompt\",\n    \"voicemail_message\": \"Generate a voicemail explaining why I called based on the customer's recent support ticket.\"\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.openmic.ai/v1/bots/{uid}")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"Updated Customer Support Bot\",\n  \"prompt\": \"You are an advanced customer support assistant with expertise in technical issues.\",\n  \"voice_speed\": 1.1,\n  \"llm_model_temperature\": 0.8,\n  \"call_settings\": {\n    \"max_call_duration\": 15,\n    \"silence_timeout\": 20,\n    \"voicemail_detection_enabled\": true,\n    \"voicemail_action\": \"leave_message\",\n    \"voicemail_message_type\": \"prompt\",\n    \"voicemail_message\": \"Generate a voicemail explaining why I called based on the customer's recent support ticket.\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.openmic.ai/v1/bots/{uid}")

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\": \"Updated Customer Support Bot\",\n  \"prompt\": \"You are an advanced customer support assistant with expertise in technical issues.\",\n  \"voice_speed\": 1.1,\n  \"llm_model_temperature\": 0.8,\n  \"call_settings\": {\n    \"max_call_duration\": 15,\n    \"silence_timeout\": 20,\n    \"voicemail_detection_enabled\": true,\n    \"voicemail_action\": \"leave_message\",\n    \"voicemail_message_type\": \"prompt\",\n    \"voicemail_message\": \"Generate a voicemail explaining why I called based on the customer's recent support ticket.\"\n  }\n}"

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

{
  "uid": "<string>",
  "name": "<string>",
  "prompt": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "auto_first_message": true,
  "first_message": "<string>",
  "knowledge_base_id": 123,
  "voice_provider": "OpenAI",
  "voice": "<string>",
  "voice_model": "<string>",
  "voice_speed": 123,
  "llm_model_name": "<string>",
  "llm_model_temperature": 123,
  "stt_provider": "Deepgram",
  "stt_model": "<string>",
  "call_settings": {
    "max_call_duration": 16,
    "silence_timeout": 25,
    "silence_timeout_max_retries": 3,
    "silence_timeout_message": "<string>",
    "call_recording_enabled": true,
    "voicemail_detection_enabled": true,
    "voicemail_action": "leave_message",
    "voicemail_message_type": "static",
    "voicemail_message": "<string>",
    "hipaa_compliance_enabled": true,
    "pci_compliance_enabled": true
  },
  "advanced_settings": {
    "agent_personality": "casual",
    "humanize_conversation": true,
    "background_noise_reduction": true,
    "allow_interruptions": true,
    "min_interruption_duration": 2.6,
    "background_sound": "<string>",
    "agent_response_length": "normal",
    "short_pause": 1.1,
    "long_pause": 3.25,
    "filter_phrases": "<string>"
  },
  "post_call_settings": {
    "summary_prompt": "<string>",
    "success_evaluation_prompt": "<string>",
    "success_evaluation_rubric_type": "NUMERIC_SCALE",
    "structured_extraction_prompt": "<string>",
    "structured_extraction_json_schema": {}
  }
}

{
  "error": "<string>",
  "message": "<string>"
}

{
  "error": "<string>",
  "message": "<string>"
}

{
  "error": "<string>",
  "message": "<string>"
}

{
  "error": "<string>",
  "message": "<string>"
}