Update Assistant

curl --request PUT \
  --url https://app.famulor.de/api/user/assistant/{id} \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "voice_id": 123,
  "language_id": 123,
  "type": "<string>",
  "mode": "<string>",
  "timezone": "<string>",
  "initial_message": "<string>",
  "system_prompt": "<string>",
  "llm_model_id": 123,
  "multimodal_model_id": 123,
  "chat_llm_fallback_id": 123,
  "turn_detection_threshold": 123,
  "secondary_language_ids": [
    123
  ],
  "knowledgebase_id": 123,
  "knowledgebase_mode": "<string>",
  "folder_id": 123,
  "label_ids": [
    123
  ],
  "phone_number_id": 123,
  "tool_ids": [
    123
  ],
  "tools": [
    {}
  ],
  "tts_emotion_enabled": true,
  "voice_stability": 123,
  "voice_similarity": 123,
  "speech_speed": 123,
  "llm_temperature": 123,
  "synthesizer_provider_id": 123,
  "transcriber_provider_id": 123,
  "allow_interruptions": true,
  "fillers": true,
  "filler_config": {},
  "record": true,
  "enable_noise_cancellation": true,
  "wait_for_customer": true,
  "max_duration": 123,
  "max_silence_duration": 123,
  "max_initial_silence_duration": 123,
  "ringing_time": 123,
  "reengagement_interval": 123,
  "reengagement_prompt": "<string>",
  "end_call_on_voicemail": true,
  "voice_mail_message": "<string>",
  "endpoint_type": "<string>",
  "endpoint_sensitivity": 123,
  "interrupt_sensitivity": 123,
  "min_interrupt_words": 123,
  "ambient_sound": "<string>",
  "ambient_sound_volume": 123,
  "is_webhook_active": true,
  "webhook_url": "<string>",
  "send_webhook_only_on_completed": true,
  "include_recording_in_webhook": true,
  "post_call_evaluation": true,
  "post_call_schema": [
    {
      "name": "<string>",
      "type": "<string>",
      "description": "<string>"
    }
  ],
  "variables": {}
}
'

import requests

url = "https://app.famulor.de/api/user/assistant/{id}"

payload = {
    "name": "<string>",
    "voice_id": 123,
    "language_id": 123,
    "type": "<string>",
    "mode": "<string>",
    "timezone": "<string>",
    "initial_message": "<string>",
    "system_prompt": "<string>",
    "llm_model_id": 123,
    "multimodal_model_id": 123,
    "chat_llm_fallback_id": 123,
    "turn_detection_threshold": 123,
    "secondary_language_ids": [123],
    "knowledgebase_id": 123,
    "knowledgebase_mode": "<string>",
    "folder_id": 123,
    "label_ids": [123],
    "phone_number_id": 123,
    "tool_ids": [123],
    "tools": [{}],
    "tts_emotion_enabled": True,
    "voice_stability": 123,
    "voice_similarity": 123,
    "speech_speed": 123,
    "llm_temperature": 123,
    "synthesizer_provider_id": 123,
    "transcriber_provider_id": 123,
    "allow_interruptions": True,
    "fillers": True,
    "filler_config": {},
    "record": True,
    "enable_noise_cancellation": True,
    "wait_for_customer": True,
    "max_duration": 123,
    "max_silence_duration": 123,
    "max_initial_silence_duration": 123,
    "ringing_time": 123,
    "reengagement_interval": 123,
    "reengagement_prompt": "<string>",
    "end_call_on_voicemail": True,
    "voice_mail_message": "<string>",
    "endpoint_type": "<string>",
    "endpoint_sensitivity": 123,
    "interrupt_sensitivity": 123,
    "min_interrupt_words": 123,
    "ambient_sound": "<string>",
    "ambient_sound_volume": 123,
    "is_webhook_active": True,
    "webhook_url": "<string>",
    "send_webhook_only_on_completed": True,
    "include_recording_in_webhook": True,
    "post_call_evaluation": True,
    "post_call_schema": [
        {
            "name": "<string>",
            "type": "<string>",
            "description": "<string>"
        }
    ],
    "variables": {}
}
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({
    name: '<string>',
    voice_id: 123,
    language_id: 123,
    type: '<string>',
    mode: '<string>',
    timezone: '<string>',
    initial_message: '<string>',
    system_prompt: '<string>',
    llm_model_id: 123,
    multimodal_model_id: 123,
    chat_llm_fallback_id: 123,
    turn_detection_threshold: 123,
    secondary_language_ids: [123],
    knowledgebase_id: 123,
    knowledgebase_mode: '<string>',
    folder_id: 123,
    label_ids: [123],
    phone_number_id: 123,
    tool_ids: [123],
    tools: [{}],
    tts_emotion_enabled: true,
    voice_stability: 123,
    voice_similarity: 123,
    speech_speed: 123,
    llm_temperature: 123,
    synthesizer_provider_id: 123,
    transcriber_provider_id: 123,
    allow_interruptions: true,
    fillers: true,
    filler_config: {},
    record: true,
    enable_noise_cancellation: true,
    wait_for_customer: true,
    max_duration: 123,
    max_silence_duration: 123,
    max_initial_silence_duration: 123,
    ringing_time: 123,
    reengagement_interval: 123,
    reengagement_prompt: '<string>',
    end_call_on_voicemail: true,
    voice_mail_message: '<string>',
    endpoint_type: '<string>',
    endpoint_sensitivity: 123,
    interrupt_sensitivity: 123,
    min_interrupt_words: 123,
    ambient_sound: '<string>',
    ambient_sound_volume: 123,
    is_webhook_active: true,
    webhook_url: '<string>',
    send_webhook_only_on_completed: true,
    include_recording_in_webhook: true,
    post_call_evaluation: true,
    post_call_schema: [{name: '<string>', type: '<string>', description: '<string>'}],
    variables: {}
  })
};

fetch('https://app.famulor.de/api/user/assistant/{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://app.famulor.de/api/user/assistant/{id}",
  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([
    'name' => '<string>',
    'voice_id' => 123,
    'language_id' => 123,
    'type' => '<string>',
    'mode' => '<string>',
    'timezone' => '<string>',
    'initial_message' => '<string>',
    'system_prompt' => '<string>',
    'llm_model_id' => 123,
    'multimodal_model_id' => 123,
    'chat_llm_fallback_id' => 123,
    'turn_detection_threshold' => 123,
    'secondary_language_ids' => [
        123
    ],
    'knowledgebase_id' => 123,
    'knowledgebase_mode' => '<string>',
    'folder_id' => 123,
    'label_ids' => [
        123
    ],
    'phone_number_id' => 123,
    'tool_ids' => [
        123
    ],
    'tools' => [
        [
                
        ]
    ],
    'tts_emotion_enabled' => true,
    'voice_stability' => 123,
    'voice_similarity' => 123,
    'speech_speed' => 123,
    'llm_temperature' => 123,
    'synthesizer_provider_id' => 123,
    'transcriber_provider_id' => 123,
    'allow_interruptions' => true,
    'fillers' => true,
    'filler_config' => [
        
    ],
    'record' => true,
    'enable_noise_cancellation' => true,
    'wait_for_customer' => true,
    'max_duration' => 123,
    'max_silence_duration' => 123,
    'max_initial_silence_duration' => 123,
    'ringing_time' => 123,
    'reengagement_interval' => 123,
    'reengagement_prompt' => '<string>',
    'end_call_on_voicemail' => true,
    'voice_mail_message' => '<string>',
    'endpoint_type' => '<string>',
    'endpoint_sensitivity' => 123,
    'interrupt_sensitivity' => 123,
    'min_interrupt_words' => 123,
    'ambient_sound' => '<string>',
    'ambient_sound_volume' => 123,
    'is_webhook_active' => true,
    'webhook_url' => '<string>',
    'send_webhook_only_on_completed' => true,
    'include_recording_in_webhook' => true,
    'post_call_evaluation' => true,
    'post_call_schema' => [
        [
                'name' => '<string>',
                'type' => '<string>',
                'description' => '<string>'
        ]
    ],
    'variables' => [
        
    ]
  ]),
  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://app.famulor.de/api/user/assistant/{id}"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"voice_id\": 123,\n  \"language_id\": 123,\n  \"type\": \"<string>\",\n  \"mode\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"initial_message\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"llm_model_id\": 123,\n  \"multimodal_model_id\": 123,\n  \"chat_llm_fallback_id\": 123,\n  \"turn_detection_threshold\": 123,\n  \"secondary_language_ids\": [\n    123\n  ],\n  \"knowledgebase_id\": 123,\n  \"knowledgebase_mode\": \"<string>\",\n  \"folder_id\": 123,\n  \"label_ids\": [\n    123\n  ],\n  \"phone_number_id\": 123,\n  \"tool_ids\": [\n    123\n  ],\n  \"tools\": [\n    {}\n  ],\n  \"tts_emotion_enabled\": true,\n  \"voice_stability\": 123,\n  \"voice_similarity\": 123,\n  \"speech_speed\": 123,\n  \"llm_temperature\": 123,\n  \"synthesizer_provider_id\": 123,\n  \"transcriber_provider_id\": 123,\n  \"allow_interruptions\": true,\n  \"fillers\": true,\n  \"filler_config\": {},\n  \"record\": true,\n  \"enable_noise_cancellation\": true,\n  \"wait_for_customer\": true,\n  \"max_duration\": 123,\n  \"max_silence_duration\": 123,\n  \"max_initial_silence_duration\": 123,\n  \"ringing_time\": 123,\n  \"reengagement_interval\": 123,\n  \"reengagement_prompt\": \"<string>\",\n  \"end_call_on_voicemail\": true,\n  \"voice_mail_message\": \"<string>\",\n  \"endpoint_type\": \"<string>\",\n  \"endpoint_sensitivity\": 123,\n  \"interrupt_sensitivity\": 123,\n  \"min_interrupt_words\": 123,\n  \"ambient_sound\": \"<string>\",\n  \"ambient_sound_volume\": 123,\n  \"is_webhook_active\": true,\n  \"webhook_url\": \"<string>\",\n  \"send_webhook_only_on_completed\": true,\n  \"include_recording_in_webhook\": true,\n  \"post_call_evaluation\": true,\n  \"post_call_schema\": [\n    {\n      \"name\": \"<string>\",\n      \"type\": \"<string>\",\n      \"description\": \"<string>\"\n    }\n  ],\n  \"variables\": {}\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://app.famulor.de/api/user/assistant/{id}")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"voice_id\": 123,\n  \"language_id\": 123,\n  \"type\": \"<string>\",\n  \"mode\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"initial_message\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"llm_model_id\": 123,\n  \"multimodal_model_id\": 123,\n  \"chat_llm_fallback_id\": 123,\n  \"turn_detection_threshold\": 123,\n  \"secondary_language_ids\": [\n    123\n  ],\n  \"knowledgebase_id\": 123,\n  \"knowledgebase_mode\": \"<string>\",\n  \"folder_id\": 123,\n  \"label_ids\": [\n    123\n  ],\n  \"phone_number_id\": 123,\n  \"tool_ids\": [\n    123\n  ],\n  \"tools\": [\n    {}\n  ],\n  \"tts_emotion_enabled\": true,\n  \"voice_stability\": 123,\n  \"voice_similarity\": 123,\n  \"speech_speed\": 123,\n  \"llm_temperature\": 123,\n  \"synthesizer_provider_id\": 123,\n  \"transcriber_provider_id\": 123,\n  \"allow_interruptions\": true,\n  \"fillers\": true,\n  \"filler_config\": {},\n  \"record\": true,\n  \"enable_noise_cancellation\": true,\n  \"wait_for_customer\": true,\n  \"max_duration\": 123,\n  \"max_silence_duration\": 123,\n  \"max_initial_silence_duration\": 123,\n  \"ringing_time\": 123,\n  \"reengagement_interval\": 123,\n  \"reengagement_prompt\": \"<string>\",\n  \"end_call_on_voicemail\": true,\n  \"voice_mail_message\": \"<string>\",\n  \"endpoint_type\": \"<string>\",\n  \"endpoint_sensitivity\": 123,\n  \"interrupt_sensitivity\": 123,\n  \"min_interrupt_words\": 123,\n  \"ambient_sound\": \"<string>\",\n  \"ambient_sound_volume\": 123,\n  \"is_webhook_active\": true,\n  \"webhook_url\": \"<string>\",\n  \"send_webhook_only_on_completed\": true,\n  \"include_recording_in_webhook\": true,\n  \"post_call_evaluation\": true,\n  \"post_call_schema\": [\n    {\n      \"name\": \"<string>\",\n      \"type\": \"<string>\",\n      \"description\": \"<string>\"\n    }\n  ],\n  \"variables\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://app.famulor.de/api/user/assistant/{id}")

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  \"name\": \"<string>\",\n  \"voice_id\": 123,\n  \"language_id\": 123,\n  \"type\": \"<string>\",\n  \"mode\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"initial_message\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"llm_model_id\": 123,\n  \"multimodal_model_id\": 123,\n  \"chat_llm_fallback_id\": 123,\n  \"turn_detection_threshold\": 123,\n  \"secondary_language_ids\": [\n    123\n  ],\n  \"knowledgebase_id\": 123,\n  \"knowledgebase_mode\": \"<string>\",\n  \"folder_id\": 123,\n  \"label_ids\": [\n    123\n  ],\n  \"phone_number_id\": 123,\n  \"tool_ids\": [\n    123\n  ],\n  \"tools\": [\n    {}\n  ],\n  \"tts_emotion_enabled\": true,\n  \"voice_stability\": 123,\n  \"voice_similarity\": 123,\n  \"speech_speed\": 123,\n  \"llm_temperature\": 123,\n  \"synthesizer_provider_id\": 123,\n  \"transcriber_provider_id\": 123,\n  \"allow_interruptions\": true,\n  \"fillers\": true,\n  \"filler_config\": {},\n  \"record\": true,\n  \"enable_noise_cancellation\": true,\n  \"wait_for_customer\": true,\n  \"max_duration\": 123,\n  \"max_silence_duration\": 123,\n  \"max_initial_silence_duration\": 123,\n  \"ringing_time\": 123,\n  \"reengagement_interval\": 123,\n  \"reengagement_prompt\": \"<string>\",\n  \"end_call_on_voicemail\": true,\n  \"voice_mail_message\": \"<string>\",\n  \"endpoint_type\": \"<string>\",\n  \"endpoint_sensitivity\": 123,\n  \"interrupt_sensitivity\": 123,\n  \"min_interrupt_words\": 123,\n  \"ambient_sound\": \"<string>\",\n  \"ambient_sound_volume\": 123,\n  \"is_webhook_active\": true,\n  \"webhook_url\": \"<string>\",\n  \"send_webhook_only_on_completed\": true,\n  \"include_recording_in_webhook\": true,\n  \"post_call_evaluation\": true,\n  \"post_call_schema\": [\n    {\n      \"name\": \"<string>\",\n      \"type\": \"<string>\",\n      \"description\": \"<string>\"\n    }\n  ],\n  \"variables\": {}\n}"

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

{
  "message": "Assistant updated successfully",
  "data": {
    "id": 789,
    "name": "Updated Sales Assistant",
    "status": "active",
    "type": "outbound",
    "mode": "pipeline"
  }
}

{
  "message": "Assistant not found"
}

{
  "message": "Validation failed",
  "errors": {
    "speech_speed": ["Speech speed must be between 0.7 and 1.2."],
    "voice_id": ["The selected voice is not compatible with the selected engine type."],
    "allow_interruptions": ["Interruptions cannot be disabled in multimodal or dualplex mode."]
  }
}

PUT

api

user

assistant

{id}

Update Assistant

curl --request PUT \
  --url https://app.famulor.de/api/user/assistant/{id} \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "voice_id": 123,
  "language_id": 123,
  "type": "<string>",
  "mode": "<string>",
  "timezone": "<string>",
  "initial_message": "<string>",
  "system_prompt": "<string>",
  "llm_model_id": 123,
  "multimodal_model_id": 123,
  "chat_llm_fallback_id": 123,
  "turn_detection_threshold": 123,
  "secondary_language_ids": [
    123
  ],
  "knowledgebase_id": 123,
  "knowledgebase_mode": "<string>",
  "folder_id": 123,
  "label_ids": [
    123
  ],
  "phone_number_id": 123,
  "tool_ids": [
    123
  ],
  "tools": [
    {}
  ],
  "tts_emotion_enabled": true,
  "voice_stability": 123,
  "voice_similarity": 123,
  "speech_speed": 123,
  "llm_temperature": 123,
  "synthesizer_provider_id": 123,
  "transcriber_provider_id": 123,
  "allow_interruptions": true,
  "fillers": true,
  "filler_config": {},
  "record": true,
  "enable_noise_cancellation": true,
  "wait_for_customer": true,
  "max_duration": 123,
  "max_silence_duration": 123,
  "max_initial_silence_duration": 123,
  "ringing_time": 123,
  "reengagement_interval": 123,
  "reengagement_prompt": "<string>",
  "end_call_on_voicemail": true,
  "voice_mail_message": "<string>",
  "endpoint_type": "<string>",
  "endpoint_sensitivity": 123,
  "interrupt_sensitivity": 123,
  "min_interrupt_words": 123,
  "ambient_sound": "<string>",
  "ambient_sound_volume": 123,
  "is_webhook_active": true,
  "webhook_url": "<string>",
  "send_webhook_only_on_completed": true,
  "include_recording_in_webhook": true,
  "post_call_evaluation": true,
  "post_call_schema": [
    {
      "name": "<string>",
      "type": "<string>",
      "description": "<string>"
    }
  ],
  "variables": {}
}
'

import requests

url = "https://app.famulor.de/api/user/assistant/{id}"

payload = {
    "name": "<string>",
    "voice_id": 123,
    "language_id": 123,
    "type": "<string>",
    "mode": "<string>",
    "timezone": "<string>",
    "initial_message": "<string>",
    "system_prompt": "<string>",
    "llm_model_id": 123,
    "multimodal_model_id": 123,
    "chat_llm_fallback_id": 123,
    "turn_detection_threshold": 123,
    "secondary_language_ids": [123],
    "knowledgebase_id": 123,
    "knowledgebase_mode": "<string>",
    "folder_id": 123,
    "label_ids": [123],
    "phone_number_id": 123,
    "tool_ids": [123],
    "tools": [{}],
    "tts_emotion_enabled": True,
    "voice_stability": 123,
    "voice_similarity": 123,
    "speech_speed": 123,
    "llm_temperature": 123,
    "synthesizer_provider_id": 123,
    "transcriber_provider_id": 123,
    "allow_interruptions": True,
    "fillers": True,
    "filler_config": {},
    "record": True,
    "enable_noise_cancellation": True,
    "wait_for_customer": True,
    "max_duration": 123,
    "max_silence_duration": 123,
    "max_initial_silence_duration": 123,
    "ringing_time": 123,
    "reengagement_interval": 123,
    "reengagement_prompt": "<string>",
    "end_call_on_voicemail": True,
    "voice_mail_message": "<string>",
    "endpoint_type": "<string>",
    "endpoint_sensitivity": 123,
    "interrupt_sensitivity": 123,
    "min_interrupt_words": 123,
    "ambient_sound": "<string>",
    "ambient_sound_volume": 123,
    "is_webhook_active": True,
    "webhook_url": "<string>",
    "send_webhook_only_on_completed": True,
    "include_recording_in_webhook": True,
    "post_call_evaluation": True,
    "post_call_schema": [
        {
            "name": "<string>",
            "type": "<string>",
            "description": "<string>"
        }
    ],
    "variables": {}
}
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({
    name: '<string>',
    voice_id: 123,
    language_id: 123,
    type: '<string>',
    mode: '<string>',
    timezone: '<string>',
    initial_message: '<string>',
    system_prompt: '<string>',
    llm_model_id: 123,
    multimodal_model_id: 123,
    chat_llm_fallback_id: 123,
    turn_detection_threshold: 123,
    secondary_language_ids: [123],
    knowledgebase_id: 123,
    knowledgebase_mode: '<string>',
    folder_id: 123,
    label_ids: [123],
    phone_number_id: 123,
    tool_ids: [123],
    tools: [{}],
    tts_emotion_enabled: true,
    voice_stability: 123,
    voice_similarity: 123,
    speech_speed: 123,
    llm_temperature: 123,
    synthesizer_provider_id: 123,
    transcriber_provider_id: 123,
    allow_interruptions: true,
    fillers: true,
    filler_config: {},
    record: true,
    enable_noise_cancellation: true,
    wait_for_customer: true,
    max_duration: 123,
    max_silence_duration: 123,
    max_initial_silence_duration: 123,
    ringing_time: 123,
    reengagement_interval: 123,
    reengagement_prompt: '<string>',
    end_call_on_voicemail: true,
    voice_mail_message: '<string>',
    endpoint_type: '<string>',
    endpoint_sensitivity: 123,
    interrupt_sensitivity: 123,
    min_interrupt_words: 123,
    ambient_sound: '<string>',
    ambient_sound_volume: 123,
    is_webhook_active: true,
    webhook_url: '<string>',
    send_webhook_only_on_completed: true,
    include_recording_in_webhook: true,
    post_call_evaluation: true,
    post_call_schema: [{name: '<string>', type: '<string>', description: '<string>'}],
    variables: {}
  })
};

fetch('https://app.famulor.de/api/user/assistant/{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://app.famulor.de/api/user/assistant/{id}",
  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([
    'name' => '<string>',
    'voice_id' => 123,
    'language_id' => 123,
    'type' => '<string>',
    'mode' => '<string>',
    'timezone' => '<string>',
    'initial_message' => '<string>',
    'system_prompt' => '<string>',
    'llm_model_id' => 123,
    'multimodal_model_id' => 123,
    'chat_llm_fallback_id' => 123,
    'turn_detection_threshold' => 123,
    'secondary_language_ids' => [
        123
    ],
    'knowledgebase_id' => 123,
    'knowledgebase_mode' => '<string>',
    'folder_id' => 123,
    'label_ids' => [
        123
    ],
    'phone_number_id' => 123,
    'tool_ids' => [
        123
    ],
    'tools' => [
        [
                
        ]
    ],
    'tts_emotion_enabled' => true,
    'voice_stability' => 123,
    'voice_similarity' => 123,
    'speech_speed' => 123,
    'llm_temperature' => 123,
    'synthesizer_provider_id' => 123,
    'transcriber_provider_id' => 123,
    'allow_interruptions' => true,
    'fillers' => true,
    'filler_config' => [
        
    ],
    'record' => true,
    'enable_noise_cancellation' => true,
    'wait_for_customer' => true,
    'max_duration' => 123,
    'max_silence_duration' => 123,
    'max_initial_silence_duration' => 123,
    'ringing_time' => 123,
    'reengagement_interval' => 123,
    'reengagement_prompt' => '<string>',
    'end_call_on_voicemail' => true,
    'voice_mail_message' => '<string>',
    'endpoint_type' => '<string>',
    'endpoint_sensitivity' => 123,
    'interrupt_sensitivity' => 123,
    'min_interrupt_words' => 123,
    'ambient_sound' => '<string>',
    'ambient_sound_volume' => 123,
    'is_webhook_active' => true,
    'webhook_url' => '<string>',
    'send_webhook_only_on_completed' => true,
    'include_recording_in_webhook' => true,
    'post_call_evaluation' => true,
    'post_call_schema' => [
        [
                'name' => '<string>',
                'type' => '<string>',
                'description' => '<string>'
        ]
    ],
    'variables' => [
        
    ]
  ]),
  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://app.famulor.de/api/user/assistant/{id}"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"voice_id\": 123,\n  \"language_id\": 123,\n  \"type\": \"<string>\",\n  \"mode\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"initial_message\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"llm_model_id\": 123,\n  \"multimodal_model_id\": 123,\n  \"chat_llm_fallback_id\": 123,\n  \"turn_detection_threshold\": 123,\n  \"secondary_language_ids\": [\n    123\n  ],\n  \"knowledgebase_id\": 123,\n  \"knowledgebase_mode\": \"<string>\",\n  \"folder_id\": 123,\n  \"label_ids\": [\n    123\n  ],\n  \"phone_number_id\": 123,\n  \"tool_ids\": [\n    123\n  ],\n  \"tools\": [\n    {}\n  ],\n  \"tts_emotion_enabled\": true,\n  \"voice_stability\": 123,\n  \"voice_similarity\": 123,\n  \"speech_speed\": 123,\n  \"llm_temperature\": 123,\n  \"synthesizer_provider_id\": 123,\n  \"transcriber_provider_id\": 123,\n  \"allow_interruptions\": true,\n  \"fillers\": true,\n  \"filler_config\": {},\n  \"record\": true,\n  \"enable_noise_cancellation\": true,\n  \"wait_for_customer\": true,\n  \"max_duration\": 123,\n  \"max_silence_duration\": 123,\n  \"max_initial_silence_duration\": 123,\n  \"ringing_time\": 123,\n  \"reengagement_interval\": 123,\n  \"reengagement_prompt\": \"<string>\",\n  \"end_call_on_voicemail\": true,\n  \"voice_mail_message\": \"<string>\",\n  \"endpoint_type\": \"<string>\",\n  \"endpoint_sensitivity\": 123,\n  \"interrupt_sensitivity\": 123,\n  \"min_interrupt_words\": 123,\n  \"ambient_sound\": \"<string>\",\n  \"ambient_sound_volume\": 123,\n  \"is_webhook_active\": true,\n  \"webhook_url\": \"<string>\",\n  \"send_webhook_only_on_completed\": true,\n  \"include_recording_in_webhook\": true,\n  \"post_call_evaluation\": true,\n  \"post_call_schema\": [\n    {\n      \"name\": \"<string>\",\n      \"type\": \"<string>\",\n      \"description\": \"<string>\"\n    }\n  ],\n  \"variables\": {}\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://app.famulor.de/api/user/assistant/{id}")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"voice_id\": 123,\n  \"language_id\": 123,\n  \"type\": \"<string>\",\n  \"mode\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"initial_message\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"llm_model_id\": 123,\n  \"multimodal_model_id\": 123,\n  \"chat_llm_fallback_id\": 123,\n  \"turn_detection_threshold\": 123,\n  \"secondary_language_ids\": [\n    123\n  ],\n  \"knowledgebase_id\": 123,\n  \"knowledgebase_mode\": \"<string>\",\n  \"folder_id\": 123,\n  \"label_ids\": [\n    123\n  ],\n  \"phone_number_id\": 123,\n  \"tool_ids\": [\n    123\n  ],\n  \"tools\": [\n    {}\n  ],\n  \"tts_emotion_enabled\": true,\n  \"voice_stability\": 123,\n  \"voice_similarity\": 123,\n  \"speech_speed\": 123,\n  \"llm_temperature\": 123,\n  \"synthesizer_provider_id\": 123,\n  \"transcriber_provider_id\": 123,\n  \"allow_interruptions\": true,\n  \"fillers\": true,\n  \"filler_config\": {},\n  \"record\": true,\n  \"enable_noise_cancellation\": true,\n  \"wait_for_customer\": true,\n  \"max_duration\": 123,\n  \"max_silence_duration\": 123,\n  \"max_initial_silence_duration\": 123,\n  \"ringing_time\": 123,\n  \"reengagement_interval\": 123,\n  \"reengagement_prompt\": \"<string>\",\n  \"end_call_on_voicemail\": true,\n  \"voice_mail_message\": \"<string>\",\n  \"endpoint_type\": \"<string>\",\n  \"endpoint_sensitivity\": 123,\n  \"interrupt_sensitivity\": 123,\n  \"min_interrupt_words\": 123,\n  \"ambient_sound\": \"<string>\",\n  \"ambient_sound_volume\": 123,\n  \"is_webhook_active\": true,\n  \"webhook_url\": \"<string>\",\n  \"send_webhook_only_on_completed\": true,\n  \"include_recording_in_webhook\": true,\n  \"post_call_evaluation\": true,\n  \"post_call_schema\": [\n    {\n      \"name\": \"<string>\",\n      \"type\": \"<string>\",\n      \"description\": \"<string>\"\n    }\n  ],\n  \"variables\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://app.famulor.de/api/user/assistant/{id}")

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  \"name\": \"<string>\",\n  \"voice_id\": 123,\n  \"language_id\": 123,\n  \"type\": \"<string>\",\n  \"mode\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"initial_message\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"llm_model_id\": 123,\n  \"multimodal_model_id\": 123,\n  \"chat_llm_fallback_id\": 123,\n  \"turn_detection_threshold\": 123,\n  \"secondary_language_ids\": [\n    123\n  ],\n  \"knowledgebase_id\": 123,\n  \"knowledgebase_mode\": \"<string>\",\n  \"folder_id\": 123,\n  \"label_ids\": [\n    123\n  ],\n  \"phone_number_id\": 123,\n  \"tool_ids\": [\n    123\n  ],\n  \"tools\": [\n    {}\n  ],\n  \"tts_emotion_enabled\": true,\n  \"voice_stability\": 123,\n  \"voice_similarity\": 123,\n  \"speech_speed\": 123,\n  \"llm_temperature\": 123,\n  \"synthesizer_provider_id\": 123,\n  \"transcriber_provider_id\": 123,\n  \"allow_interruptions\": true,\n  \"fillers\": true,\n  \"filler_config\": {},\n  \"record\": true,\n  \"enable_noise_cancellation\": true,\n  \"wait_for_customer\": true,\n  \"max_duration\": 123,\n  \"max_silence_duration\": 123,\n  \"max_initial_silence_duration\": 123,\n  \"ringing_time\": 123,\n  \"reengagement_interval\": 123,\n  \"reengagement_prompt\": \"<string>\",\n  \"end_call_on_voicemail\": true,\n  \"voice_mail_message\": \"<string>\",\n  \"endpoint_type\": \"<string>\",\n  \"endpoint_sensitivity\": 123,\n  \"interrupt_sensitivity\": 123,\n  \"min_interrupt_words\": 123,\n  \"ambient_sound\": \"<string>\",\n  \"ambient_sound_volume\": 123,\n  \"is_webhook_active\": true,\n  \"webhook_url\": \"<string>\",\n  \"send_webhook_only_on_completed\": true,\n  \"include_recording_in_webhook\": true,\n  \"post_call_evaluation\": true,\n  \"post_call_schema\": [\n    {\n      \"name\": \"<string>\",\n      \"type\": \"<string>\",\n      \"description\": \"<string>\"\n    }\n  ],\n  \"variables\": {}\n}"

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

{
  "message": "Assistant updated successfully",
  "data": {
    "id": 789,
    "name": "Updated Sales Assistant",
    "status": "active",
    "type": "outbound",
    "mode": "pipeline"
  }
}

{
  "message": "Assistant not found"
}

{
  "message": "Validation failed",
  "errors": {
    "speech_speed": ["Speech speed must be between 0.7 and 1.2."],
    "voice_id": ["The selected voice is not compatible with the selected engine type."],
    "allow_interruptions": ["Interruptions cannot be disabled in multimodal or dualplex mode."]
  }
}

Famulor 1.0 API (legacy). This page applies only to Famulor 1.0 (app.famulor.de) and is retained for legacy compatibility. For the current platform, use the Famulor 2.0 API reference.

This endpoint allows you to update the configuration of an existing AI assistant. All fields are optional – only the fields provided will be updated. For detailed field descriptions and options, see Create Assistant.

Path Parameter

integer

required

The unique identifier of the assistant to be updated

Request Body

Core Fields

string

The name of the assistant (max. 255 characters)

integer

The voice ID to be used for the assistant. Use the Get Voices endpoint with the mode parameter to get voices compatible with your engine mode.

integer

The language ID for the assistant. Use the Get Languages endpoint to retrieve available languages.

string

The assistant type. Options: inbound, outbound

string

The engine mode. Options: pipeline, multimodal, dualplex

Changing the mode resets mode-specific settings to their default values for the new mode.

string

The timezone for the assistant (e.g., “Europe/Berlin”, “America/New_York”)

string

The initial message the assistant will speak at call start (max. 200 characters)

string

The system prompt defining the assistant’s behaviour and personality

Mode-Specific Fields

integer

The LLM model ID to use. Only applicable in pipeline mode.Use the Get Models endpoint to retrieve available models.

integer

The multimodal model ID. Applicable only in multimodal and dualplex modes.Use the Get Models endpoint to retrieve available multimodal models.

integer

Fallback LLM model ID for tool calls in multimodal/dualplex modes. Set to null to remove.

number

Sensitivity of speaker turn detection for multimodal/dualplex modes (0-1). Set to null for automatic.

Secondary Languages

integer[]

Array of additional language IDs the assistant can speak. Replaces existing secondary languages. Pass an empty array [] to remove all secondary languages.

"secondary_language_ids": [2, 3, 4]

Knowledgebase Settings

integer

The ID of the knowledgebase to link. Set to null to remove.

string

How to use the knowledgebase. Options:

function_call - AI calls a function to search (required for multimodal/dualplex)
prompt - Knowledge is injected into prompt (pipeline only)

Organization

integer

ID of a folder to move this assistant into. Must belong to your account. Set to null to make it uncategorized. Omit to leave the folder unchanged.

integer[]

Array of label IDs for this assistant. Each label must belong to your account. When provided, this replaces the assistant’s current labels. Omit to leave labels unchanged; send [] to remove all labels.

"label_ids": [3, 5]

Phone Number

integer

The ID of a phone number to assign. Set to null to unassign. Must belong to your account.

For inbound assistants, the phone number cannot be a caller ID type and must not already be assigned to another inbound assistant.

Custom Mid-Call Tools

integer[]

Array of custom mid-call tool IDs to synchronize. Replaces all existing tool assignments. Pass an empty array [] to remove all tools. Each tool must belong to your account.

"tool_ids": [1, 5, 12]

Built-in Tools

array

Array of built-in tools. Replaces all existing built-in tools. Pass an empty array [] to remove all tools.

Show Tool Types

call_transfer - Transfer the call to another phone number

phone_number (required): Phone number to transfer to
description: When to transfer the call
custom: If true, AI can determine transfer number dynamically
timezone: Timezone for transfer availability
warm_transfer: Send a message to the customer before transferring (default: false)
warm_transfer_message: Prompt telling the AI what to say before transferring (e.g., “Tell the customer that the call is being transferred.”)

warm_call_transfer - Warm transfer with supervisor briefing

supervisor_phone (required): Phone number to dial for the warm transfer (e.g., “+14155552001”). If custom_sip is enabled, this is a SIP address or internal extension instead.
outbound_phone_id (required): ID of the phone number used to dial the supervisor. See Get Phone Numbers.
description (required): When to transfer — describes when the AI should initiate the warm transfer (e.g., “Transfer the call to a human supervisor when the customer requests to speak with a real person.”)
custom_sip: Enable to enter a custom SIP address or internal extension instead of a phone number (default: false)
caller_id_mode: What phone number the supervisor sees when receiving the call. Options: outbound_number (default — shows the outbound phone number), customer_number (shows the caller’s number), custom (shows a custom number)
custom_caller_id: Custom phone number shown to supervisor. Only used when caller_id_mode is custom.
hold_music: Audio played to the caller while on hold. Options: hold_music (default — plays default hold music), none (silence, no music)
hold_music_volume: Volume level for hold music, 0–100 (default: 80)
hold_message: Message spoken to caller before placing them on hold (default: “Please hold while I connect you with a supervisor.”)
summary_instructions: Instructions for how the AI should brief the supervisor about the call (default: “Introduce the conversation from your perspective:\n- WHO is calling (name, company if mentioned)\n- WHY they called (their goal or problem)\n- WHY a human is needed at this point\n\nKeep it brief (2-3 sentences).”)
briefing_initial_message: Optional first message spoken after the supervisor answers and speaks first. When empty, configured summary instructions control the opening; a localized generic introduction is used only when those are also empty. Permission to hear the briefing is separate from permission to connect.
connected_message: Message spoken to caller after supervisor is connected (default: “You are now connected with a supervisor. I’ll leave you to it.”)

end_call - End the call programmatically

description: When the AI should end the call

dtmf_input - Send DTMF tones (keypad input)

tones: Optional sequence to send (0-9, *, #, or A-D; 1–32 characters). Omit it so the assistant chooses the tones during the call.
description: When to use DTMF input (for IVR navigation)

collect_keypad - Collect keypad or spoken digits from the caller

timeout: Total seconds for the prompt and digit entry, 5–120 (default: 30)
stop_key: Keypad submit key: # (default) or *. Exact mode needs the fixed count; until_stop accepts the key after the minimum.
digit_mode: exact for a fixed count or until_stop to submit after the minimum. An unconfigured tool defaults to until_stop; a saved count without a mode stays exact.
min_digits: minimum in until_stop mode, 1–32 (default 1), no greater than the maximum.
max_digits: exact count or maximum, 1–32. Default 16 for explicit exact, otherwise 32 for an unconfigured tool.

calendar_integration - Schedule appointments via Cal.com

calcom_api_key (required): Your Cal.com API key
calcom_event_slug (required): The event type slug from Cal.com
calcom_team_slug: Team slug if the event belongs to a Cal.com team
calcom_endpoint: Cal.com API region. Options: us (default — https://api.cal.com), eu (https://api.cal.eu), custom (uses calcom_custom_endpoint)
calcom_custom_endpoint: Custom Cal.com API base URL. Only used when calcom_endpoint is custom (e.g., https://my-calcom-instance.com).
calcom_booking_fields: Array of custom booking fields for the event. Each field has: slug (required), type (required, e.g. “text”, “email”, “phone”, “select”), label (required), required (default: false), options (array of options for select fields)
description: When to offer scheduling

assistant_transfer - Hand off the conversation to a different AI assistant mid-call (swaps voice, LLM, and STT to the target assistant)

assistant_id (required): ID of the target assistant. Must belong to your account and cannot be the assistant being updated (no self-transfer).
description: When to transfer (max 500 chars, default: “Transfer the conversation to this assistant when appropriate.”)
message_before_transfer: Optional message the AI speaks before switching to the target assistant (max 500 chars).
speak_transfer_greeting: If true, the target assistant speaks its configured initial message after the transfer completes (default: true) If false, the target continues the current request from the transferred context without repeating its initial greeting.

"tools": [
  {
    "type": "dtmf_input",
    "description": "Navigate IVR when needed"
  },
  {
    "type": "warm_call_transfer",
    "supervisor_phone": "+1234567890",
    "outbound_phone_id": 7,
    "description": "Transfer the call to a human supervisor when the customer requests to speak with a real person.",
    "custom_sip": false,
    "caller_id_mode": "outbound_number",
    "hold_music": "hold_music",
    "hold_music_volume": 80,
    "hold_message": "Please hold while I connect you with a supervisor.",
    "summary_instructions": "Introduce the conversation from your perspective:\n- WHO is calling (name, company if mentioned)\n- WHY they called (their goal or problem)\n- WHY a human is needed at this point\n\nKeep it brief (2-3 sentences).",
    "briefing_initial_message": "Hello! I have a caller on the line who needs your assistance. May I brief you on the situation?",
    "connected_message": "You are now connected with a supervisor. I'll leave you to it."
  },
  {
    "type": "collect_keypad",
    "timeout": 5,
    "stop_key": "#"
  },
  {
    "type": "assistant_transfer",
    "assistant_id": 14765,
    "description": "Transfer to the Support Assistant when the customer needs technical help.",
    "message_before_transfer": "Sure — let me transfer you to our support specialist.",
    "speak_transfer_greeting": true
  },
  {
    "type": "end_call",
    "description": "End call when done"
  }
]

When you list assistants, each configured tool is returned as { "type": "...", "data": { ... } } with the same field names nested under data (not top-level).

Speech and TTS Settings

boolean

Whether emotional text-to-speech synthesis is enabled

number

Voice stability setting (0-1). Higher = more consistent voice

number

Voice similarity setting (0-1). Higher = closer to original voice

number

Speech speed multiplier (0.7-1.2)

number

LLM temperature setting (0-1). Lower = more deterministic

integer

Custom TTS provider ID. Set to null to use the system default voice. See Get Synthesizer Providers.

integer

Custom STT provider ID. Pipeline mode only. Set to null to use the system default voice. See Get Transcriber Providers.

Call Behavior Settings

boolean

Whether caller interruptions are allowed.

Cannot be disabled in multimodal and dualplex modes.

boolean

Whether filler audio should be used during processing.

Available only in pipeline mode.

object

Custom filler profiles per category. Replaces the existing filler configuration. Each category is an array of short phrases.

positive: Fillers for affirmative responses
negative: Fillers for negative/neutral responses
question: Fillers when processing a question
neutral: Fillers for neutral confirmations

"filler_config": {
  "positive": ["Great!", "Perfect!"],
  "negative": ["Hmm.", "Understood."],
  "question": ["Good question.", "One moment."],
  "neutral": ["Okay.", "Noted."]
}

boolean

Whether the call should be recorded

boolean

Whether noise cancellation should be enabled

boolean

If true, the assistant waits for the customer to speak first

Timing Settings

integer

Maximum call duration in seconds (20-1200)

integer

Maximum silence duration before re-engagement in seconds (1-360)

integer

Maximum silence at the start of the call before termination (1-120 seconds). Set to null to disable.

integer

Maximum ringing time before aborting (1-60 seconds)

Re-Engagement Settings

integer

Interval for re-engagement in seconds (7-600)

string

Custom prompt for re-engagement messages (max. 1000 characters). Set to null to use the default.

Voicemail Settings

boolean

Whether to end the call when voicemail is detected

string

Message to leave on voicemail before hanging up (max. 1000 characters). Set to null to disable.

Endpoint Detection

string

Type of voice activity detection. Options: vad, ai

number

Endpoint sensitivity level (0-5)

number

Interruption sensitivity level (0-5)

integer

Minimum number of words before interruption is allowed (0-10). Set to null to disable.

Ambient Sound

string

Background ambient sound. Options: off, office, city, forest, crowded_room, cafe, nature

number

Volume of the ambient sound (0-1)

Webhook Configuration

boolean

Whether webhook notifications are enabled

string

The webhook URL for post-call notifications. Set to null to remove.

boolean

Whether webhooks should be sent only for successfully completed calls (not on failed/no-answer)

boolean

Whether the recording URL should be included in the webhook payload

Post-Call Evaluation

boolean

Whether AI-based post-call evaluation is enabled

array

Schema definition for extracting post-call data. Replaces the existing schema.

Show post_call_schema Properties

string

required

Field name (3-16 characters, lowercase, alphanumeric and underscores only)

string

required

Data type. Options: string, number, bool

string

required

Description of what this field represents (3-255 characters)

Variables

object

Key-value pairs for custom variables. Replaces all existing variables.

"variables": {
  "company_name": "Acme Corp",
  "product": "Premium Widget"
}

Example Requests

Update Basic Settings

{
  "name": "Updated Assistant Name",
  "initial_message": "Hello! How can I help you today?",
  "max_duration": 900
}

Switch to Multimodal Mode

{
  "mode": "multimodal",
  "voice_id": 41,
  "multimodal_model_id": 1,
  "chat_llm_fallback_id": 2,
  "knowledgebase_mode": "function_call"
}

Update Tools and Knowledgebase

{
  "tool_ids": [1, 5, 12],
  "knowledgebase_id": 3,
  "knowledgebase_mode": "prompt"
}

Update Re-Engagement and Voicemail

{
  "reengagement_interval": 15,
  "reengagement_prompt": "Are you still there? I'm here to help.",
  "end_call_on_voicemail": true,
  "voice_mail_message": "Hello, please call us back at your earliest convenience."
}

Remove Optional Settings

{
  "phone_number_id": null,
  "webhook_url": null,
  "tool_ids": [],
  "secondary_language_ids": []
}

Response

string

Success message confirming the assistant update

object

Show Properties

integer

The unique ID of the updated assistant

string

The assistant’s name

string

The current status of the assistant

string

The type (inbound or outbound)

string

The engine mode (pipeline, multimodal, or dualplex)

{
  "message": "Assistant updated successfully",
  "data": {
    "id": 789,
    "name": "Updated Sales Assistant",
    "status": "active",
    "type": "outbound",
    "mode": "pipeline"
  }
}

{
  "message": "Assistant not found"
}

{
  "message": "Validation failed",
  "errors": {
    "speech_speed": ["Speech speed must be between 0.7 and 1.2."],
    "voice_id": ["The selected voice is not compatible with the selected engine type."],
    "allow_interruptions": ["Interruptions cannot be disabled in multimodal or dualplex mode."]
  }
}

Notes

Only the fields you provide in the request body will be updated
To remove optional fields, explicitly set them to null
To clear arrays (tools, secondary languages), pass an empty array []
The assistant must belong to the authenticated user
Use the Get Voices endpoint with the mode parameter to get compatible voices
For multimodal/dualplex modes, knowledgebase_mode must be set to function_call
In multimodal/dualplex modes, interruptions (allow_interruptions) cannot be disabled
Changing mode resets mode-specific settings (LLM model, multimodal model, providers)

​Path Parameter

​Request Body

​Core Fields

​Mode-Specific Fields

​Secondary Languages

​Knowledgebase Settings

​Organization

​Phone Number

​Custom Mid-Call Tools

​Built-in Tools

​Speech and TTS Settings

​Call Behavior Settings

​Timing Settings

​Re-Engagement Settings

​Voicemail Settings

​Endpoint Detection

​Ambient Sound

​Webhook Configuration

​Post-Call Evaluation

​Variables

​Example Requests

​Update Basic Settings

​Switch to Multimodal Mode

​Update Tools and Knowledgebase

​Update Re-Engagement and Voicemail

​Remove Optional Settings

​Response

​Notes

Path Parameter

Request Body

Core Fields

Mode-Specific Fields

Secondary Languages

Knowledgebase Settings

Organization

Phone Number

Custom Mid-Call Tools

Built-in Tools

Speech and TTS Settings

Call Behavior Settings

Timing Settings

Re-Engagement Settings

Voicemail Settings

Endpoint Detection

Ambient Sound

Webhook Configuration

Post-Call Evaluation

Variables

Example Requests

Update Basic Settings

Switch to Multimodal Mode

Update Tools and Knowledgebase

Update Re-Engagement and Voicemail

Remove Optional Settings

Response

Notes