Create Voice Agent

Create voice agent

curl --request POST \
  --url https://www.tryunleashx.com/api/v1/global/create-agent \
  --header 'Content-Type: application/json' \
  --header 'token: <token>' \
  --data '
{
  "agent_id": 123,
  "agent_name": "<string>",
  "description": "<string>",
  "prompt": "<string>",
  "timezone": "<string>",
  "greeting": "<string>",
  "session_data_webhook": "<string>",
  "voice": {
    "voice_id": "<string>",
    "model": "<string>",
    "settings": {}
  },
  "speech_to_text": {
    "provider": "<string>",
    "model": "<string>"
  },
  "llm": {
    "llm": "<string>",
    "model": "<string>"
  },
  "configurations": {}
}
'

import requests

url = "https://www.tryunleashx.com/api/v1/global/create-agent"

payload = {
    "agent_id": 123,
    "agent_name": "<string>",
    "description": "<string>",
    "prompt": "<string>",
    "timezone": "<string>",
    "greeting": "<string>",
    "session_data_webhook": "<string>",
    "voice": {
        "voice_id": "<string>",
        "model": "<string>",
        "settings": {}
    },
    "speech_to_text": {
        "provider": "<string>",
        "model": "<string>"
    },
    "llm": {
        "llm": "<string>",
        "model": "<string>"
    },
    "configurations": {}
}
headers = {
    "token": "<token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {token: '<token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    agent_id: 123,
    agent_name: '<string>',
    description: '<string>',
    prompt: '<string>',
    timezone: '<string>',
    greeting: '<string>',
    session_data_webhook: '<string>',
    voice: {voice_id: '<string>', model: '<string>', settings: {}},
    speech_to_text: {provider: '<string>', model: '<string>'},
    llm: {llm: '<string>', model: '<string>'},
    configurations: {}
  })
};

fetch('https://www.tryunleashx.com/api/v1/global/create-agent', 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://www.tryunleashx.com/api/v1/global/create-agent",
  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([
    'agent_id' => 123,
    'agent_name' => '<string>',
    'description' => '<string>',
    'prompt' => '<string>',
    'timezone' => '<string>',
    'greeting' => '<string>',
    'session_data_webhook' => '<string>',
    'voice' => [
        'voice_id' => '<string>',
        'model' => '<string>',
        'settings' => [
                
        ]
    ],
    'speech_to_text' => [
        'provider' => '<string>',
        'model' => '<string>'
    ],
    'llm' => [
        'llm' => '<string>',
        'model' => '<string>'
    ],
    'configurations' => [
        
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "token: <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"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://www.tryunleashx.com/api/v1/global/create-agent"

	payload := strings.NewReader("{\n  \"agent_id\": 123,\n  \"agent_name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"greeting\": \"<string>\",\n  \"session_data_webhook\": \"<string>\",\n  \"voice\": {\n    \"voice_id\": \"<string>\",\n    \"model\": \"<string>\",\n    \"settings\": {}\n  },\n  \"speech_to_text\": {\n    \"provider\": \"<string>\",\n    \"model\": \"<string>\"\n  },\n  \"llm\": {\n    \"llm\": \"<string>\",\n    \"model\": \"<string>\"\n  },\n  \"configurations\": {}\n}")

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

	req.Header.Add("token", "<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.post("https://www.tryunleashx.com/api/v1/global/create-agent")
  .header("token", "<token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"agent_id\": 123,\n  \"agent_name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"greeting\": \"<string>\",\n  \"session_data_webhook\": \"<string>\",\n  \"voice\": {\n    \"voice_id\": \"<string>\",\n    \"model\": \"<string>\",\n    \"settings\": {}\n  },\n  \"speech_to_text\": {\n    \"provider\": \"<string>\",\n    \"model\": \"<string>\"\n  },\n  \"llm\": {\n    \"llm\": \"<string>\",\n    \"model\": \"<string>\"\n  },\n  \"configurations\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://www.tryunleashx.com/api/v1/global/create-agent")

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

request = Net::HTTP::Post.new(url)
request["token"] = '<token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"agent_id\": 123,\n  \"agent_name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"greeting\": \"<string>\",\n  \"session_data_webhook\": \"<string>\",\n  \"voice\": {\n    \"voice_id\": \"<string>\",\n    \"model\": \"<string>\",\n    \"settings\": {}\n  },\n  \"speech_to_text\": {\n    \"provider\": \"<string>\",\n    \"model\": \"<string>\"\n  },\n  \"llm\": {\n    \"llm\": \"<string>\",\n    \"model\": \"<string>\"\n  },\n  \"configurations\": {}\n}"

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

POST

create-agent

Create voice agent

curl --request POST \
  --url https://www.tryunleashx.com/api/v1/global/create-agent \
  --header 'Content-Type: application/json' \
  --header 'token: <token>' \
  --data '
{
  "agent_id": 123,
  "agent_name": "<string>",
  "description": "<string>",
  "prompt": "<string>",
  "timezone": "<string>",
  "greeting": "<string>",
  "session_data_webhook": "<string>",
  "voice": {
    "voice_id": "<string>",
    "model": "<string>",
    "settings": {}
  },
  "speech_to_text": {
    "provider": "<string>",
    "model": "<string>"
  },
  "llm": {
    "llm": "<string>",
    "model": "<string>"
  },
  "configurations": {}
}
'

import requests

url = "https://www.tryunleashx.com/api/v1/global/create-agent"

payload = {
    "agent_id": 123,
    "agent_name": "<string>",
    "description": "<string>",
    "prompt": "<string>",
    "timezone": "<string>",
    "greeting": "<string>",
    "session_data_webhook": "<string>",
    "voice": {
        "voice_id": "<string>",
        "model": "<string>",
        "settings": {}
    },
    "speech_to_text": {
        "provider": "<string>",
        "model": "<string>"
    },
    "llm": {
        "llm": "<string>",
        "model": "<string>"
    },
    "configurations": {}
}
headers = {
    "token": "<token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {token: '<token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    agent_id: 123,
    agent_name: '<string>',
    description: '<string>',
    prompt: '<string>',
    timezone: '<string>',
    greeting: '<string>',
    session_data_webhook: '<string>',
    voice: {voice_id: '<string>', model: '<string>', settings: {}},
    speech_to_text: {provider: '<string>', model: '<string>'},
    llm: {llm: '<string>', model: '<string>'},
    configurations: {}
  })
};

fetch('https://www.tryunleashx.com/api/v1/global/create-agent', 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://www.tryunleashx.com/api/v1/global/create-agent",
  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([
    'agent_id' => 123,
    'agent_name' => '<string>',
    'description' => '<string>',
    'prompt' => '<string>',
    'timezone' => '<string>',
    'greeting' => '<string>',
    'session_data_webhook' => '<string>',
    'voice' => [
        'voice_id' => '<string>',
        'model' => '<string>',
        'settings' => [
                
        ]
    ],
    'speech_to_text' => [
        'provider' => '<string>',
        'model' => '<string>'
    ],
    'llm' => [
        'llm' => '<string>',
        'model' => '<string>'
    ],
    'configurations' => [
        
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "token: <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"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://www.tryunleashx.com/api/v1/global/create-agent"

	payload := strings.NewReader("{\n  \"agent_id\": 123,\n  \"agent_name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"greeting\": \"<string>\",\n  \"session_data_webhook\": \"<string>\",\n  \"voice\": {\n    \"voice_id\": \"<string>\",\n    \"model\": \"<string>\",\n    \"settings\": {}\n  },\n  \"speech_to_text\": {\n    \"provider\": \"<string>\",\n    \"model\": \"<string>\"\n  },\n  \"llm\": {\n    \"llm\": \"<string>\",\n    \"model\": \"<string>\"\n  },\n  \"configurations\": {}\n}")

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

	req.Header.Add("token", "<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.post("https://www.tryunleashx.com/api/v1/global/create-agent")
  .header("token", "<token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"agent_id\": 123,\n  \"agent_name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"greeting\": \"<string>\",\n  \"session_data_webhook\": \"<string>\",\n  \"voice\": {\n    \"voice_id\": \"<string>\",\n    \"model\": \"<string>\",\n    \"settings\": {}\n  },\n  \"speech_to_text\": {\n    \"provider\": \"<string>\",\n    \"model\": \"<string>\"\n  },\n  \"llm\": {\n    \"llm\": \"<string>\",\n    \"model\": \"<string>\"\n  },\n  \"configurations\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://www.tryunleashx.com/api/v1/global/create-agent")

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

request = Net::HTTP::Post.new(url)
request["token"] = '<token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"agent_id\": 123,\n  \"agent_name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"timezone\": \"<string>\",\n  \"greeting\": \"<string>\",\n  \"session_data_webhook\": \"<string>\",\n  \"voice\": {\n    \"voice_id\": \"<string>\",\n    \"model\": \"<string>\",\n    \"settings\": {}\n  },\n  \"speech_to_text\": {\n    \"provider\": \"<string>\",\n    \"model\": \"<string>\"\n  },\n  \"llm\": {\n    \"llm\": \"<string>\",\n    \"model\": \"<string>\"\n  },\n  \"configurations\": {}\n}"

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

The Create Voice Agent API allows you to create and configure AI voice agents with comprehensive settings including voice configuration, speech-to-text, LLM selection, and advanced call handling features.

API Endpoint

POST /create-agent Content-Type: application/json Authentication: Required (Token parameter)

Request Body

{
  "agent_name": "Customer Support Agent",
  "description": "Handles customer inquiries and support requests",
  "prompt": "You are a helpful customer support agent. Answer questions politely and professionally.",
  "timezone": "America/New_York",
  "greeting": "Hello! Thank you for calling. How can I assist you today?",
  "session_data_webhook": "https://www.tryunleashx.com/webhooks/session-data",
  "voice": {
    "provider": "elevenlabs",
    "voice_id": "RXe6OFmxoC0nlSWpuCDy",
    "model": "eleven_turbo_v2_5",
    "settings": {
      "stability": 0.5,
      "voice_style": 1,
      "speed": 1.0,
      "speaker_boost": true,
      "similarity_boost": 0.75,
      "tone": "professional",
      "style": "classic",
      "instruction_sensitivity": "medium"
    }
  },
  "speech_to_text": {
    "provider": "deepgram",
    "model": "nova-2",
    "language": "english"
  },
  "llm": {
    "llm": "openai",
    "model": "gpt-4o"
  },
  "configurations": {
    "confidence_threshold": 0.8,
    "do_not_call_detection": true,
    "agent_terminate_call": {
      "enabled": true,
      "instruction": "End the call politely when the conversation is complete",
      "message": "Thank you for calling. Have a great day!"
    },
    "inactivity_handling": {
      "enabled": true,
      "idle_time": 30,
      "message": "Are you still there? Let me know if you need any help."
    },
    "interruption": {
      "enabled": true,
      "value": 3
    },
    "voicemail": {
      "enabled": true,
      "message": "Hello, this is a message from Customer Support. Please call us back at your convenience."
    }
  }
}

Required Fields

Field	Type	Description
`agent_name`	string	Name of the voice agent (required)
`prompt`	string	System prompt/instructions that define the agent’s behavior and personality (required)

The voice object is optional — include it to configure TTS provider, voice ID, and voice settings.

Optional Fields

Basic Information

Field	Type	Description	Default
`description`	string	Description of the agent’s purpose	Empty string
`timezone`	string	Timezone for the agent (e.g., “America/New_York”, “Europe/London”)	UTC
`greeting`	string	The agent’s first message when the call starts	None
`session_data_webhook`	string	Webhook URL to receive end-of-session data	None

Voice Configuration

The voice object is optional and, if provided, contains the following properties:

Property	Type	Required	Description
`provider`	string	No	Voice provider: `elevenlabs`, `openai`, `deepgram`, `sarvam`
`voice_id`	string	Yes	Unique identifier for the voice
`model`	string	No	TTS model to use (see Voice Models below)
`settings`	object	No	Voice settings configuration (see Voice Settings below)

Voice Providers

Provider	Value	Description
ElevenLabs	`elevenlabs`	High-quality AI voice synthesis with natural-sounding voices and emotional range
OpenAI	`openai`	Advanced text-to-speech with multiple voice options
Deepgram	`deepgram`	Real-time speech recognition and voice synthesis
Sarvam	`sarvam`	Multilingual voice synthesis optimized for Indian languages
Cartesia	`cartesia`	Low-latency, expressive real-time voice synthesis
Amazon Polly	`polly`	AWS text-to-speech with neural and generative voices
Smallest	`smallest`	Fast, low-latency voice synthesis
Soniox	`soniox`	Real-time text-to-speech
Azure	`azure`	Microsoft Azure neural text-to-speech

Voice Models

ElevenLabs Models

Model	Value	Description
Turbo v2.5	`eleven_turbo_v2_5`	Latest high-speed model with low latency (Recommended)
Multilingual v2	`eleven_multilingual_v2`	High-quality multilingual voice synthesis
Flash v2.5	`eleven_flash_v2_5`	Ultra-low-latency model
Monolingual v1	`eleven_monolingual_v1`	English-only optimized model

OpenAI Models

Model	Value	Description
TTS 1	`tts-1`	Standard quality, faster generation
TTS 1 HD	`tts-1-hd`	High definition, better quality

Sarvam Models

Model	Value	Description
Bulbul v3	`bulbul:v3`	Multilingual voice optimized for Indian languages

Cartesia Models

Model	Value	Description
Sonic 3	`sonic-3`	Low-latency, expressive voice synthesis

Amazon Polly Models

Model	Value	Description
Generative	`generative`	Most natural, expressive AWS voices
Neural	`neural`	Neural text-to-speech
Longform	`longform`	Optimized for long-form content
Standard	`standard`	Standard text-to-speech

Smallest Models

Model	Value	Description
Lightning v3.1	`lightning-v3.1`	Latest low-latency model
Lightning v2	`lightning-v2`	Low-latency model
Pulse	`pulse`	Fast voice synthesis

Soniox Models

Model	Value	Description
TTS RT v1	`tts-rt-v1`	Real-time text-to-speech

Azure Models

Model	Value	Description
Azure	`azure`	Microsoft Azure neural text-to-speech

Voice Settings

The settings object contains fine-tuning parameters for voice output:

Property	Type	Range	Description	Default
`stability`	number	0.0 - 1.0	Controls voice consistency. Higher = more stable, Lower = more expressive	0.5
`voice_style`	number	0 - 100	Style intensity for the voice	0
`speed`	number	0.5 - 2.0	Speech speed multiplier	1.0
`speaker_boost`	boolean	true/false	Enhances speaker characteristics	true
`similarity_boost`	number	0.0 - 1.0	How closely to match original voice	0.75
`tone`	string	-	Voice tone: `professional`, `friendly`, `neutral`, `enthusiastic`	None
`style`	string	-	Speaking style: `classic`, `conversational`, `narrative`	`classic`
`instruction_sensitivity`	string	-	How strictly to follow instructions: `low`, `medium`, `high`	`medium`

Speech-to-Text Configuration

The speech_to_text object configures the transcription service. Use full language names (not codes) for the language field — for example english, hindi, multi, spanish, etc. Supported values include:

english, hindi, multi, albanian, arabic, armenian, azerbaijani, belarusian, bengali, bosnian, bulgarian, catalan, chinese, croatian, czech, danish, dutch, english_australia, english_india, english_new_zealand, english_uk, english_us, english_spanish, estonian, finnish, french, galician, georgian, german, german_switzerland, greek, gujarati, haitian_creole, hausa, hebrew, afrikaans, hungarian, icelandic, indonesian, italian, japanese, javanese, kannada, kazakh, khmer, korean, latvian, lithuanian, macedonian, malay, malayalam, maori, marathi, nepali, norwegian, persian, polish, portuguese, portuguese_brazil, punjabi, romanian, russian, serbian, shona, slovak, slovenian, somali, spanish, spanish_latin_america, sundanese, swahili, swedish, tagalog, tamil, tajik, telugu, thai, tswana, turkish, ukrainian, urdu, vietnamese, welsh.

The speech_to_text object configures the transcription service:

Property	Type	Required	Description
`provider`	string	Yes	STT provider (see providers below)
`model`	string	Yes	Model to use (see models below)
`language`	string	Yes	Language name (see languages above)

STT Providers and Models

Deepgram (Provider: `deepgram`)

Model	Value	Description	Use Case
Nova 2	`nova-2`	General purpose model	Default choice for most use cases
Nova 2 General	`nova-2-general`	General purpose transcription	Versatile transcription
Nova 2 Meeting	`nova-2-meeting`	Optimized for meetings	Conference calls, meetings
Nova 2 Phone Call	`nova-2-phonecall`	Optimized for phone calls	Phone conversations (Recommended)
Nova 2 Finance	`nova-2-finance`	Optimized for finance	Banking, financial services
Nova 2 Conversational AI	`nova-2-conversationalai`	Optimized for conversational AI	AI assistants, chatbots
Nova 2 Video	`nova-2-video`	Optimized for video	Video content transcription
Nova 2 Medical	`nova-2-medical`	Optimized for medical	Healthcare conversations
Nova 2 Drivethru	`nova-2-drivethru`	Optimized for drive-thru	Drive-thru scenarios
Nova 2 Automotive	`nova-2-automotive`	Optimized for automotive	Car environments
Nova 2 Legal	`nova-2-legal`	Optimized for legal	Legal conversations
Nova 2 Government	`nova-2-government`	Optimized for government	Government services
Nova 2 Enterprise	`nova-2-enterprise`	Optimized for enterprise	Enterprise applications
Nova 3	`nova-3`	Latest general purpose model	Most accurate, latest technology

Gladia (Provider: `gladia`)

Model	Value	Description
Gladia	`gladia`	High-accuracy multilingual transcription

Sarvam (Provider: `sarvam`)

Model	Value	Description
Sarvam	`sarvam`	Optimized for Indian languages
Saaras v3	`saaras:v3`	Latest multilingual speech-to-text

ElevenLabs (Provider: `elevenLabs`)

Model	Value	Description
Scribe v2 Realtime	`scribe_v2_realtime`	Real-time multilingual transcription

Cartesia (Provider: `cartesia`)

Model	Value	Description
Ink Whisper	`ink-whisper`	Low-latency real-time transcription

Soniox (Provider: `soniox`)

Model	Value	Description
STT RT v5	`stt-rt-v5`	Latest real-time speech-to-text
STT RT v4	`stt-rt-v4`	Real-time speech-to-text

Azure (Provider: `azure`)

Model	Value	Description
Azure	`azure`	Microsoft Azure speech-to-text

LLM Configuration

The llm object configures the language model:

Property	Type	Required	Description
`llm`	string	Yes	LLM provider name (e.g. `openai`, `anthropic`, `Gemini`, `azure`)
`model`	string	Yes	Model Value from that provider (e.g. `gpt-4o`)

Available LLM Models

Pass the provider name in llm.llm (e.g. openai) and the model’s Value in llm.model (e.g. gpt-4o). Each group below shows its provider name in the heading.

OpenAI Models (Provider: `openai`)

Model	Value	Description	Use Case
GPT-4o	`gpt-4o`	Most capable model, multimodal	Complex reasoning, best quality (Recommended)
GPT-4o Mini	`gpt-4o-mini`	Smaller, faster, cost-effective	Fast responses, simpler tasks
GPT-4 Turbo	`gpt-4-turbo`	High performance GPT-4	Advanced reasoning
GPT-4.1	`gpt-4.1`	Latest GPT-4 variant	Enhanced capabilities
GPT-4.1 Mini	`gpt-4.1-mini`	Compact GPT-4.1	Efficient processing
GPT-4.1 Nano	`gpt-4.1-nano`	Ultra-fast GPT-4.1	Ultra-low latency
GPT-3.5 Turbo	`gpt-3.5-turbo`	Fast and cost-effective	Simple conversations
GPT-5.4	`gpt-5.4`	Latest flagship model	Highest quality reasoning
GPT-5.4 Mini	`gpt-5.4-mini`	Compact GPT-5.4	Fast, cost-effective

OpenAI Realtime Models

Model	Value	Description
GPT-4o Realtime	`gpt-4o-realtime-preview`	Real-time audio processing
GPT-4o Mini Realtime	`gpt-4o-mini-realtime-preview`	Faster real-time processing

Meta LLaMA Models

Model	Value	Description	Use Case
LLaMA 3.1 405B	`llama-3-1-405b`	Largest, most capable	Complex tasks, high accuracy
LLaMA 3.1 70B	`llama-3-1-70b`	Balanced performance	Good quality, reasonable speed
LLaMA 3.1 8B	`llama-3-1-8b`	Fast and efficient	Quick responses
LLaMA 3 70B	`llama-3-70b`	Previous generation	Reliable performance

Mistral Models

Model	Value	Description
Mistral Large 2407	`mistral-large-2407`	High-performance European model

Other Models

Model	Value	Description
L3.1 70B Euryale v2.2	`l3.1-70b-euryale-v2.2`	Fine-tuned LLaMA variant
DeepSeek v3	`deepseek-v3`	Advanced reasoning model

Anthropic Models (Provider: `anthropic`)

Model	Value	Description
Claude Opus 4.8	`claude-opus-4-8`	Most capable Claude model
Claude Opus 4.7	`claude-opus-4-7`	High-capability reasoning
Claude Opus 4.6	`claude-opus-4-6`	High-capability reasoning
Claude Opus 4.5	`claude-opus-4-5`	High-capability reasoning
Claude Opus 4.1	`claude-opus-4-1-20250805`	Opus 4.1
Claude Opus 4.2	`claude-opus-4-20250514`	Opus 4
Claude Sonnet 4.6	`claude-sonnet-4-6`	Balanced speed and quality (Recommended)
Claude Sonnet 4.5	`claude-sonnet-4-5`	Balanced speed and quality
Claude Sonnet 4.0	`claude-sonnet-4-0`	Sonnet 4
Claude Haiku 4.5	`claude-haiku-4-5`	Fast, cost-effective
Claude Haiku 3.5	`claude-haiku-3-5-20241022`	Fast, cost-effective

Google Gemini Models (Provider: `Gemini`)

Model	Value	Description
Gemini 3.1 Pro Preview	`gemini-3.1-pro-preview`	Latest high-capability Gemini
Gemini 3.1 Flash Lite Preview	`gemini-3.1-flash-lite-preview`	Fast, lightweight
Gemini 3 Flash Preview	`gemini-3-flash-preview`	Fast Gemini 3
Gemini 2.5 Pro	`gemini-2.5-pro`	High-capability reasoning
Gemini 2.5 Flash	`gemini-2.5-flash`	Fast, balanced
Gemini 2.5 Flash Lite	`gemini-2.5-flash-lite`	Lightweight, low latency

Azure OpenAI Models (Provider: `azure`)

Model	Value	Description
GPT-4o	`gpt-4o`	Azure-hosted GPT-4o
GPT-4o Mini	`gpt-4o-mini`	Azure-hosted GPT-4o Mini
GPT-5 Mini	`gpt-5-mini`	Azure-hosted GPT-5 Mini

Sarvam Models (Provider: `sarvam`)

Model	Value	Description
Sarvam 105B	`sarvam-105b`	Large multilingual model for Indian languages
Sarvam 30B	`sarvam-30b`	Efficient multilingual model

AWS Bedrock Models (Provider: `bedrock`)

Model	Value	Description
Qwen3 VL 235B	`qwen.qwen3-vl-235b-a22b`	Large multimodal model via Bedrock
GPT-OSS 120B	`openai.gpt-oss-120b-1:0`	Open-weight GPT model via Bedrock

Cerebras Models (Provider: `cerebras`)

Model	Value	Description
ZAI GLM 4.6	`zai-glm-4.6`	High-throughput hosted model
Qwen3 235B Instruct	`qwen-3-235b-a22b-instruct-2507`	Large instruct model
GPT-OSS 120B	`gpt-oss-120b`	Open-weight GPT model

Grok Models (Provider: `grok`)

Model	Value	Description
Grok	`grok`	xAI Grok model

Configurations

The configurations object contains advanced call handling settings:

Confidence Threshold

Property	Type	Range	Description	Default
`confidence_threshold`	number	0.0 - 1.0	Minimum confidence for speech recognition	0.8

Do Not Call Detection

Property	Type	Description	Default
`do_not_call_detection`	boolean	Detect and respect “do not call” indicators	false

Agent Terminate Call

Configuration for when the agent can end calls autonomously:

Property	Type	Description	Default
`enabled`	boolean	Allow agent to terminate calls	false
`instruction`	string	Instructions for when to end calls	None
`message`	string	Message to say before ending call	None

Example:

{
  "enabled": true,
  "instruction": "End the call when the customer says goodbye or has no more questions",
  "message": "Thank you for calling. Have a great day!"
}

Inactivity Handling

Configuration for handling user inactivity:

Property	Type	Description	Default
`enabled`	boolean	Enable inactivity detection	false
`idle_time`	number	Seconds of silence before prompting (5-120)	30
`message`	string	Message to say after idle time	None

Example:

{
  "enabled": true,
  "idle_time": 30,
  "message": "Are you still there? Let me know if you need any help."
}

Interruption Settings

Configuration for handling user interruptions:

Property	Type	Description	Default
`enabled`	boolean	Allow users to interrupt the agent	true
`value`	number	Interruption sensitivity (1-5, higher = more sensitive)	3

Sensitivity Levels:

1 - Very low (agent rarely gets interrupted)
2 - Low
3 - Medium (Recommended)
4 - High
5 - Very high (agent easily interrupted)

Voicemail Handling

Configuration for voicemail detection and handling:

Property	Type	Description	Default
`enabled`	boolean	Enable voicemail detection	false
`message`	string	Message to leave if voicemail detected	None

Example:

{
  "enabled": true,
  "message": "Hello, this is Customer Support calling. Please call us back at 1-800-123-4567. Thank you!"
}

Response

Success Response

Status Code: 200 OK

{
  "id": "agent_abc123xyz",
  "agent_name": "Customer Support Agent",
  "config": {
    "prompt": "You are a helpful customer support agent...",
    "voice": {
      "provider": "elevenlabs",
      "voice_id": "RXe6OFmxoC0nlSWpuCDy",
      "model": "eleven_turbo_v2_5"
    },
    "speech_to_text": {
      "provider": "deepgram",
      "model": "nova-2",
      "language": "english"
    },
    "llm": {
      "llm": "gpt-4o",
      "model": "gpt-4o"
    }
  },
  "created_at": 1706745600
}

Error Responses

400 - Bad Request

{
  "detail": "Invalid request body. Missing required field: agent_name"
}

Common causes:

Missing required fields (agent_name, prompt, or voice)
Invalid data types
Invalid provider or model values

401 - Unauthorized

{
  "detail": "Invalid authentication credentials"
}

Common causes:

Missing authorization header or token parameter
Invalid or expired API key
Insufficient permissions

422 - Validation Error

{
  "detail": [
    {
      "loc": ["body", "voice", "provider"],
      "msg": "Invalid voice provider. Must be one of: elevenlabs, openai, deepgram, sarvam",
      "type": "value_error"
    }
  ]
}

Common causes:

Invalid enum values (provider, model names)
Out of range values (stability, speed, confidence_threshold)
Invalid format (timezone, language codes)

500 - Internal Server Error

{
  "detail": "Internal server error"
}

Example Requests

Minimal Request

curl -X POST https://api.yourdomain.com/create-agent \
  -H "Content-Type: application/json" \
  -H "token: your_api_key_here" \
  -d '{
    "agent_name": "Simple Agent",
    "prompt": "You are a helpful assistant.",
    "voice": {
      "provider": "elevenlabs",
      "voice_id": "RXe6OFmxoC0nlSWpuCDy"
    }
  }'

Complete Request with All Features

curl -X POST https://api.yourdomain.com/create-agent \
  -H "Content-Type: application/json" \
  -H "token: your_api_key_here" \
  -d '{
    "agent_name": "Advanced Support Agent",
    "description": "Full-featured customer support agent",
    "prompt": "You are an experienced customer support agent. Be helpful, professional, and empathetic.",
    "timezone": "America/New_York",
    "greeting": "Hello! Thank you for calling. How can I help you today?",
    "session_data_webhook": "https://www.tryunleashx.com/webhooks/session-data",
    "voice": {
      "provider": "elevenlabs",
      "voice_id": "RXe6OFmxoC0nlSWpuCDy",
      "model": "eleven_turbo_v2_5",
      "settings": {
        "stability": 0.5,
        "voice_style": 1,
        "speed": 1.0,
        "speaker_boost": true,
        "similarity_boost": 0.75,
        "tone": "professional",
        "style": "conversational",
        "instruction_sensitivity": "medium"
      }
    },
    "speech_to_text": {
      "provider": "deepgram",
      "model": "nova-2-phonecall",
      "language": "english"
    },
    "llm": {
      "llm": "gpt-4o",
      "model": "gpt-4o"
    },
    "configurations": {
      "confidence_threshold": 0.8,
      "do_not_call_detection": true,
      "agent_terminate_call": {
        "enabled": true,
        "instruction": "End call politely when conversation is complete",
        "message": "Thank you for calling. Have a great day!"
      },
      "inactivity_handling": {
        "enabled": true,
        "idle_time": 30,
        "message": "Are you still there? Let me know if you need help."
      },
      "interruption": {
        "enabled": true,
        "value": 3
      },
      "voicemail": {
        "enabled": true,
        "message": "Hello, this is Customer Support. Please call us back. Thank you!"
      }
    }
  }'

Important Notes

Required Fields: Only agent_name and prompt are required. The voice object is optional — include voice (with provider and voice_id) when you want to configure TTS for the agent. All other fields are optional.
Voice IDs: Get available voice IDs from the List Voices API.
Webhooks: If you provide a session_data_webhook, ensure your endpoint can handle POST requests with session data.
Timezones: Use standard timezone strings (e.g., “America/New_York”, “Europe/London”, “Asia/Tokyo”).
Language Names: Use full language names (e.g., english, hindi, spanish) or region-specific variants (e.g., english_us, english_uk) as shown in the Speech-to-Text section above.
Model Compatibility: Ensure the voice model is compatible with your chosen provider. For example, eleven_turbo_v2_5 only works with ElevenLabs.
Rate Limits: API calls are subject to rate limiting based on your plan. See pricing documentation for details.
Testing: After creating an agent, test it thoroughly before using in production. Use the Make Call API to test your agent.
Attaching phone numbers is necessary to place calls via agents

List Voices - Get available voice IDs
Update Voice Agent - Modify agent settings
List Voice Agents - View all agents
Delete Voice Agent - Remove an agent
Make Call - Test your agent with a call

Headers

token

string

required

API token for authentication

Body

application/json

agent_id

integer

agent_name

string

description

string

prompt

string

timezone

string

greeting

string

session_data_webhook

string

voice

object

Show child attributes

speech_to_text

object

Show child attributes

llm

object

Show child attributes

configurations

object

Response

201

Created

List Phone Numbers

Update Voice Agent

​API Endpoint

​Request Body

​Required Fields

​Optional Fields

​Basic Information

​Voice Configuration

​Voice Providers

​Voice Models

​ElevenLabs Models

​OpenAI Models

​Sarvam Models

​Cartesia Models

​Amazon Polly Models

​Smallest Models

​Soniox Models

​Azure Models

​Voice Settings

​Speech-to-Text Configuration

​STT Providers and Models

​Deepgram (Provider: deepgram)

​Gladia (Provider: gladia)

​Sarvam (Provider: sarvam)

​ElevenLabs (Provider: elevenLabs)

​Cartesia (Provider: cartesia)

​Soniox (Provider: soniox)

​Azure (Provider: azure)

​LLM Configuration

​Available LLM Models

​OpenAI Models (Provider: openai)

​OpenAI Realtime Models

​Meta LLaMA Models

​Mistral Models

​Other Models

​Anthropic Models (Provider: anthropic)

​Google Gemini Models (Provider: Gemini)

​Azure OpenAI Models (Provider: azure)

​Sarvam Models (Provider: sarvam)

​AWS Bedrock Models (Provider: bedrock)

​Cerebras Models (Provider: cerebras)

​Grok Models (Provider: grok)

​Configurations

​Confidence Threshold

​Do Not Call Detection

​Agent Terminate Call

​Inactivity Handling

​Interruption Settings

​Voicemail Handling

​Response

​Success Response

​Error Responses

​400 - Bad Request

​401 - Unauthorized

​422 - Validation Error

​500 - Internal Server Error

​Example Requests

​Minimal Request

​Complete Request with All Features

​Important Notes

​Related Endpoints

Headers

Body

Response

API Endpoint

Request Body

Required Fields

Optional Fields

Basic Information

Voice Configuration

Voice Providers

Voice Models

ElevenLabs Models

OpenAI Models

Sarvam Models

Cartesia Models

Amazon Polly Models

Smallest Models

Soniox Models

Azure Models

Voice Settings

Speech-to-Text Configuration

STT Providers and Models

Deepgram (Provider: `deepgram`)

Gladia (Provider: `gladia`)

Sarvam (Provider: `sarvam`)

ElevenLabs (Provider: `elevenLabs`)

Cartesia (Provider: `cartesia`)

Soniox (Provider: `soniox`)

Azure (Provider: `azure`)

LLM Configuration

Available LLM Models

OpenAI Models (Provider: `openai`)

OpenAI Realtime Models

Meta LLaMA Models

Mistral Models

Other Models

Anthropic Models (Provider: `anthropic`)

Google Gemini Models (Provider: `Gemini`)

Azure OpenAI Models (Provider: `azure`)

Sarvam Models (Provider: `sarvam`)

AWS Bedrock Models (Provider: `bedrock`)

Cerebras Models (Provider: `cerebras`)

Grok Models (Provider: `grok`)

Configurations

Confidence Threshold

Do Not Call Detection

Agent Terminate Call

Inactivity Handling

Interruption Settings

Voicemail Handling

Response

Success Response

Error Responses

400 - Bad Request

401 - Unauthorized

422 - Validation Error

500 - Internal Server Error

Example Requests

Minimal Request

Complete Request with All Features

Important Notes

Related Endpoints