Create Assistants

curl --request POST \
  --url https://app.famulor.de/api/user/assistant \
  --header 'Authorization: Bearer <token>' \
  --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>"
}
'

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

fetch('https://app.famulor.de/api/user/assistant', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

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

payload = {
    "name": "<string>",
    "voice_id": 123,
    "language_id": 123,
    "type": "<string>",
    "mode": "<string>",
    "timezone": "<string>",
    "initial_message": "<string>",
    "system_prompt": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://app.famulor.de/api/user/assistant",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'name' => '<string>',
    'voice_id' => 123,
    'language_id' => 123,
    'type' => '<string>',
    'mode' => '<string>',
    'timezone' => '<string>',
    'initial_message' => '<string>',
    'system_prompt' => '<string>'
  ]),
  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://app.famulor.de/api/user/assistant"

	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}")

	req, _ := http.NewRequest("POST", 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))

}

{
  "message": "Assistant created successfully",
  "data": {
    "id": 789,
    "name": "Sales Assistant",
    "status": "inactive",
    "type": "outbound",
    "mode": "pipeline"
  }
}

{
  "message": "Validation failed",
  "errors": {
    "name": ["The name field is required."],
    "voice_id": ["The selected voice is not compatible with the chosen engine type."],
    "knowledgebase_mode": ["Only function_call mode is available for multimodal assistants."]
  }
}

POST

api

user

assistant

Create Assistants

curl --request POST \
  --url https://app.famulor.de/api/user/assistant \
  --header 'Authorization: Bearer <token>' \
  --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>"
}
'

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

fetch('https://app.famulor.de/api/user/assistant', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

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

payload = {
    "name": "<string>",
    "voice_id": 123,
    "language_id": 123,
    "type": "<string>",
    "mode": "<string>",
    "timezone": "<string>",
    "initial_message": "<string>",
    "system_prompt": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://app.famulor.de/api/user/assistant",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'name' => '<string>',
    'voice_id' => 123,
    'language_id' => 123,
    'type' => '<string>',
    'mode' => '<string>',
    'timezone' => '<string>',
    'initial_message' => '<string>',
    'system_prompt' => '<string>'
  ]),
  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://app.famulor.de/api/user/assistant"

	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}")

	req, _ := http.NewRequest("POST", 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))

}

{
  "message": "Assistant created successfully",
  "data": {
    "id": 789,
    "name": "Sales Assistant",
    "status": "inactive",
    "type": "outbound",
    "mode": "pipeline"
  }
}

{
  "message": "Validation failed",
  "errors": {
    "name": ["The name field is required."],
    "voice_id": ["The selected voice is not compatible with the chosen engine type."],
    "knowledgebase_mode": ["Only function_call mode is available for multimodal assistants."]
  }
}

Create a new AI assistant with specified configuration

This endpoint allows you to create a new AI assistant with comprehensive configuration options.

Engine Modes

The API supports three engine modes with different capabilities:

Mode	Description	Required Fields
`pipeline`	Classic STT → LLM → TTS pipeline	`llm_model_id`
`multimodal`	Real-time multimodal AI	`multimodal_model_id`
`dualplex`	Multimodal “Brain” + custom TTS voice	`multimodal_model_id`

Request Body

Required Core Fields

string

required

The name of the assistant (max. 255 characters)

integer

required

The voice ID for the assistant. Use the endpoint Retrieve Voices with the query parameter mode to get compatible voices for your engine mode.

integer

required

The language ID for the assistant. Use the endpoint Retrieve Languages to get available languages.

string

required

The assistant type. Options: inbound, outbound

string

required

The engine mode. Options: pipeline, multimodal, dualplex

string

required

The time zone of the assistant (e.g., “Europe/Berlin”, “America/New_York”)

string

required

The first message the assistant speaks at the start of the call (max. 200 characters)

string

required

The system prompt that defines the assistant’s behavior and personality

Mode-Specific Fields

integer

The LLM model ID. Required for mode pipeline.Use the endpoint Retrieve Models to get available models.

integer

The multimodal model ID. Required for modes multimodal and dualplex.Use the endpoint Retrieve Models to get available multimodal models.

integer

Fallback LLM model ID for tool calls in multimodal/dualplex. Optional.

number

Sensitivity of turn detection in multimodal/dualplex (0-1). Default: auto

Secondary Languages

integer[]

Array of additional language IDs that the assistant can speak. The assistant automatically recognizes the language and switches accordingly.

"secondary_language_ids": [2, 3, 4]

Knowledgebase Settings

integer

The knowledgebase ID to attach to this assistant

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 place this assistant in. Must belong to your account. Send null to leave the assistant uncategorized.

integer[]

Array of label IDs to apply to this assistant. Each label must belong to your account.

"label_ids": [3, 5]

Phone Number

integer

The ID of a phone number to assign to the assistant. Must belong to your account.

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

Custom Mid-Call Tools

integer[]

Array of IDs for custom mid-call tools to attach. Each tool must belong to your account.

"tool_ids": [1, 5, 12]

Built-in Tools

array

Array of built-in tools. Each tool has a type field and tool-specific fields. On Update Assistant, this 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 Retrieve 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: The first message the AI says to the supervisor when they answer (default: “Hello! I have a caller on the line who needs your assistance. May I brief you on the situation?”)
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)

description: When to use DTMF input (for IVR navigation)

collect_keypad - Collect keypad input from the caller

timeout: Seconds to wait for input, 1–30 (default: 5)
stop_key: Key that ends input. Options: # (default), *

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)

"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).

Voice and TTS Settings

boolean

default:"true"

Whether emotional text-to-speech synthesis is enabled

number

default:"0.70"

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

number

default:"0.50"

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

number

default:"1.00"

Speech speed multiplier (0.7-1.2)

number

default:"0.10"

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

integer

Custom TTS provider ID. If not set, selected automatically based on language. See Retrieve Synthesizer Providers.

integer

Custom STT provider ID. If not set, selected automatically based on language. Only for pipeline. See Retrieve Transcriber Providers.

Call Behavior Settings

boolean

default:"true"

Whether interruptions from the caller are allowed.

Cannot be disabled for multimodal and dualplex.

boolean

default:"false"

Whether filler audio should be used during processing (e.g., “uh”, “just a moment”).

Only available in pipeline mode.

object

Custom filler profiles per category. If not specified, language-dependent defaults are used. Each category is an array of short phrases.

positive: Fillers for affirmative responses (e.g., “Great!”, “Perfect!”)
negative: Fillers for negative/neutral responses (e.g., “Hmm.”, “Mhm.”)
question: Fillers while processing a question (e.g., “Good question.”, “One moment.”)
neutral: Fillers for neutral acknowledgments (e.g., “Okay.”, “Understood.”)

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

boolean

default:"false"

Whether the call should be recorded

boolean

default:"true"

Whether noise cancellation should be enabled

boolean

default:"false"

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

Timing Settings

integer

default:"600"

Maximum call duration in seconds (20-1200)

integer

default:"40"

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

integer

Maximum silence directly after call start before termination (1-120 seconds). Optional.

integer

default:"30"

Maximum ringing time before canceling (1-60 seconds)

Re-Engagement Settings

integer

default:"30"

Re-engagement interval in seconds (7-600)

string

Custom prompt for re-engagement messages (max. 1000 characters)Example: "Are you still there? Do you have any other questions?"

Voicemail Settings

boolean

default:"true"

Whether to end the call if voicemail is detected

string

Message to leave on voicemail (max. 1000 characters)

Endpoint Detection

string

default:"vad"

Voice activity detection type. Options: vad, ai

number

default:"0.5"

Endpoint sensitivity (0-5)

number

default:"0.5"

Interrupt sensitivity (0-5)

integer

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

Ambient Sound

string

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

number

default:"0.5"

Ambient sound volume (0-1)

Webhook Configuration

boolean

default:"false"

Whether webhook notifications are enabled

string

The webhook URL for post-call notifications. Required if is_webhook_active is true.

boolean

default:"true"

Whether to send webhooks only for completed calls (not for failed/no-answer)

boolean

default:"true"

Whether to include the recording URL in the webhook payload

Post-Call Evaluation

boolean

default:"true"

Whether AI post-call evaluation is enabled

array

Schema definition for post-call data extraction

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)

"post_call_schema": [
  {"name": "status", "type": "bool", "description": "Whether the call objective was met"},
  {"name": "summary", "type": "string", "description": "Brief summary of the call"}
]

Variables

object

Key-value pairs of custom variables that can be used in prompts via {{variable_name}}

"variables": {
  "company_name": "Acme GmbH",
  "product": "Premium Widget",
  "support_email": "support@acme.com"
}

Conversation-Ended Settings

integer

default:"30"

Minutes of chat inactivity before the conversation is considered ended (1–1440)

boolean

default:"false"

Whether the conversation can be restarted after inactivity end

string

Webhook URL invoked when a chat conversation ends due to inactivity. Separate from the call webhook.

Example Requests

`pipeline` Mode Assistant

{
  "name": "Sales Assistant",
  "voice_id": 1,
  "language_id": 1,
  "type": "outbound",
  "mode": "pipeline",
  "timezone": "Europe/Berlin",
  "initial_message": "Hello! How can I assist you today?",
  "system_prompt": "You are a professional sales assistant...",
  "llm_model_id": 2,
  "secondary_language_ids": [2, 3],
  "knowledgebase_id": 1,
  "knowledgebase_mode": "prompt",
  "fillers": true,
  "filler_config": {
    "positive": ["Great!", "Perfect!", "Very good!"],
    "negative": ["Hmm.", "Understood."],
    "question": ["Good question.", "One moment."],
    "neutral": ["Okay.", "Noted.", "Understood."]
  },
  "tool_ids": [1, 5],
  "tools": [
    {"type": "dtmf_input", "description": "Navigate IVR when needed"},
    {
      "type": "warm_call_transfer",
      "supervisor_phone": "+1234567891",
      "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 the customer is satisfied"}
  ],
  "reengagement_interval": 20,
  "reengagement_prompt": "Are you still there?"
}

`multimodal` Mode Assistant

{
  "name": "Support Bot",
  "voice_id": 41,
  "language_id": 1,
  "type": "inbound",
  "mode": "multimodal",
  "timezone": "America/New_York",
  "initial_message": "Hi! Welcome to support.",
  "system_prompt": "You are a helpful support agent...",
  "multimodal_model_id": 1,
  "chat_llm_fallback_id": 2,
  "turn_detection_threshold": 0.7,
  "knowledgebase_id": 1,
  "knowledgebase_mode": "function_call",
  "tts_emotion_enabled": false
}

`dualplex` Mode Assistant

{
  "name": "Premium Agent",
  "voice_id": 1,
  "language_id": 2,
  "type": "outbound",
  "mode": "dualplex",
  "timezone": "Europe/Berlin",
  "initial_message": "Good day!",
  "system_prompt": "You are a professional assistant...",
  "multimodal_model_id": 4,
  "chat_llm_fallback_id": 2,
  "secondary_language_ids": [1, 3],
  "knowledgebase_id": 1,
  "knowledgebase_mode": "function_call",
  "ambient_sound": "office",
  "ambient_sound_volume": 0.3
}

Response

string

Success message confirming the creation of the assistant

object

Show properties

integer

The unique ID of the created assistant

string

The name of the assistant

string

The current status (inactive for newly created assistants)

string

The type (inbound or outbound)

string

The engine mode (pipeline, multimodal, or dualplex)

{
  "message": "Assistant created successfully",
  "data": {
    "id": 789,
    "name": "Sales Assistant",
    "status": "inactive",
    "type": "outbound",
    "mode": "pipeline"
  }
}

{
  "message": "Validation failed",
  "errors": {
    "name": ["The name field is required."],
    "voice_id": ["The selected voice is not compatible with the chosen engine type."],
    "knowledgebase_mode": ["Only function_call mode is available for multimodal assistants."]
  }
}

Notes

All required fields must be provided for successful creation
Use the endpoint Retrieve Voices with the query parameter mode to obtain compatible voices
For multimodal/dualplex, knowledgebase_mode must be set to function_call
For multimodal/dualplex, allow_interruptions is always enabled
fillers is only available in pipeline mode
New assistants are created with status inactive by default

​Engine Modes

​Request Body

​Required Core Fields

​Mode-Specific Fields

​Secondary Languages

​Knowledgebase Settings

​Organization

​Phone Number

​Custom Mid-Call Tools

​Built-in Tools

​Voice and TTS Settings

​Call Behavior Settings

​Timing Settings

​Re-Engagement Settings

​Voicemail Settings

​Endpoint Detection

​Ambient Sound

​Webhook Configuration

​Post-Call Evaluation

​Variables

​Conversation-Ended Settings

​Example Requests

​pipeline Mode Assistant

​multimodal Mode Assistant

​dualplex Mode Assistant

​Response

​Notes

Engine Modes

Request Body

Required Core Fields

Mode-Specific Fields

Secondary Languages

Knowledgebase Settings

Organization

Phone Number

Custom Mid-Call Tools

Built-in Tools

Voice and TTS Settings

Call Behavior Settings

Timing Settings

Re-Engagement Settings

Voicemail Settings

Endpoint Detection

Ambient Sound

Webhook Configuration

Post-Call Evaluation

Variables

Conversation-Ended Settings

Example Requests

`pipeline` Mode Assistant

`multimodal` Mode Assistant

`dualplex` Mode Assistant

Response

Notes