curl --request POST \
  --url https://api.callhq.ai/api/assistants \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "name": "Test Assistant",
  "voice": {
    "provider": "sarvam",
    "voiceId": "anushka",
    "model": "bulbul:v2",
    "language": "en",
    "speed": 1
  },
  "transcriber": {
    "provider": "Deepgram",
    "model": "nova-3",
    "language": "en"
  },
  "model": {
    "provider": "openai",
    "model": "gpt-4o",
    "temperature": 0.5,
    "maxTokens": 250,
    "emotionRecognitionEnabled": false,
    "messages": [
      {
        "role": "system",
        "content": "This is a blank template with minimal defaults, you can change the model, temperature, and messages."
      }
    ],
    "knowledgeBase": {
      "fileIds": [
        "<string>"
      ]
    }
  },
  "firstMessage": "Hello.",
  "firstMessageMode": "assistant-speaks-first",
  "backgroundSound": "office",
  "silenceTimeoutSeconds": 10,
  "backgroundDenoisingEnabled": true,
  "firstMessageInterruptionsEnabled": false,
  "maxDurationSeconds": 3600,
  "analysisPlan": {},
  "knowledgeBase": {
    "fileIds": [
      "<string>"
    ]
  },
  "hangupUsingPrompt": {
    "enabled": false,
    "prompt": "Thank you for calling. Goodbye!"
  }
}
'

import requests

url = "https://api.callhq.ai/api/assistants"

payload = {
    "name": "Test Assistant",
    "voice": {
        "provider": "sarvam",
        "voiceId": "anushka",
        "model": "bulbul:v2",
        "language": "en",
        "speed": 1
    },
    "transcriber": {
        "provider": "Deepgram",
        "model": "nova-3",
        "language": "en"
    },
    "model": {
        "provider": "openai",
        "model": "gpt-4o",
        "temperature": 0.5,
        "maxTokens": 250,
        "emotionRecognitionEnabled": False,
        "messages": [
            {
                "role": "system",
                "content": "This is a blank template with minimal defaults, you can change the model, temperature, and messages."
            }
        ],
        "knowledgeBase": { "fileIds": ["<string>"] }
    },
    "firstMessage": "Hello.",
    "firstMessageMode": "assistant-speaks-first",
    "backgroundSound": "office",
    "silenceTimeoutSeconds": 10,
    "backgroundDenoisingEnabled": True,
    "firstMessageInterruptionsEnabled": False,
    "maxDurationSeconds": 3600,
    "analysisPlan": {},
    "knowledgeBase": { "fileIds": ["<string>"] },
    "hangupUsingPrompt": {
        "enabled": False,
        "prompt": "Thank you for calling. Goodbye!"
    }
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: 'Test Assistant',
    voice: {
      provider: 'sarvam',
      voiceId: 'anushka',
      model: 'bulbul:v2',
      language: 'en',
      speed: 1
    },
    transcriber: {provider: 'Deepgram', model: 'nova-3', language: 'en'},
    model: {
      provider: 'openai',
      model: 'gpt-4o',
      temperature: 0.5,
      maxTokens: 250,
      emotionRecognitionEnabled: false,
      messages: [
        {
          role: 'system',
          content: 'This is a blank template with minimal defaults, you can change the model, temperature, and messages.'
        }
      ],
      knowledgeBase: {fileIds: ['<string>']}
    },
    firstMessage: 'Hello.',
    firstMessageMode: 'assistant-speaks-first',
    backgroundSound: 'office',
    silenceTimeoutSeconds: 10,
    backgroundDenoisingEnabled: true,
    firstMessageInterruptionsEnabled: false,
    maxDurationSeconds: 3600,
    analysisPlan: {},
    knowledgeBase: {fileIds: ['<string>']},
    hangupUsingPrompt: {enabled: false, prompt: 'Thank you for calling. Goodbye!'}
  })
};

fetch('https://api.callhq.ai/api/assistants', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.callhq.ai/api/assistants",
  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' => 'Test Assistant',
    'voice' => [
        'provider' => 'sarvam',
        'voiceId' => 'anushka',
        'model' => 'bulbul:v2',
        'language' => 'en',
        'speed' => 1
    ],
    'transcriber' => [
        'provider' => 'Deepgram',
        'model' => 'nova-3',
        'language' => 'en'
    ],
    'model' => [
        'provider' => 'openai',
        'model' => 'gpt-4o',
        'temperature' => 0.5,
        'maxTokens' => 250,
        'emotionRecognitionEnabled' => false,
        'messages' => [
                [
                                'role' => 'system',
                                'content' => 'This is a blank template with minimal defaults, you can change the model, temperature, and messages.'
                ]
        ],
        'knowledgeBase' => [
                'fileIds' => [
                                '<string>'
                ]
        ]
    ],
    'firstMessage' => 'Hello.',
    'firstMessageMode' => 'assistant-speaks-first',
    'backgroundSound' => 'office',
    'silenceTimeoutSeconds' => 10,
    'backgroundDenoisingEnabled' => true,
    'firstMessageInterruptionsEnabled' => false,
    'maxDurationSeconds' => 3600,
    'analysisPlan' => [
        
    ],
    'knowledgeBase' => [
        'fileIds' => [
                '<string>'
        ]
    ],
    'hangupUsingPrompt' => [
        'enabled' => false,
        'prompt' => 'Thank you for calling. Goodbye!'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-api-key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.callhq.ai/api/assistants"

	payload := strings.NewReader("{\n  \"name\": \"Test Assistant\",\n  \"voice\": {\n    \"provider\": \"sarvam\",\n    \"voiceId\": \"anushka\",\n    \"model\": \"bulbul:v2\",\n    \"language\": \"en\",\n    \"speed\": 1\n  },\n  \"transcriber\": {\n    \"provider\": \"Deepgram\",\n    \"model\": \"nova-3\",\n    \"language\": \"en\"\n  },\n  \"model\": {\n    \"provider\": \"openai\",\n    \"model\": \"gpt-4o\",\n    \"temperature\": 0.5,\n    \"maxTokens\": 250,\n    \"emotionRecognitionEnabled\": false,\n    \"messages\": [\n      {\n        \"role\": \"system\",\n        \"content\": \"This is a blank template with minimal defaults, you can change the model, temperature, and messages.\"\n      }\n    ],\n    \"knowledgeBase\": {\n      \"fileIds\": [\n        \"<string>\"\n      ]\n    }\n  },\n  \"firstMessage\": \"Hello.\",\n  \"firstMessageMode\": \"assistant-speaks-first\",\n  \"backgroundSound\": \"office\",\n  \"silenceTimeoutSeconds\": 10,\n  \"backgroundDenoisingEnabled\": true,\n  \"firstMessageInterruptionsEnabled\": false,\n  \"maxDurationSeconds\": 3600,\n  \"analysisPlan\": {},\n  \"knowledgeBase\": {\n    \"fileIds\": [\n      \"<string>\"\n    ]\n  },\n  \"hangupUsingPrompt\": {\n    \"enabled\": false,\n    \"prompt\": \"Thank you for calling. Goodbye!\"\n  }\n}")

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

	req.Header.Add("x-api-key", "<api-key>")
	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://api.callhq.ai/api/assistants")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"Test Assistant\",\n  \"voice\": {\n    \"provider\": \"sarvam\",\n    \"voiceId\": \"anushka\",\n    \"model\": \"bulbul:v2\",\n    \"language\": \"en\",\n    \"speed\": 1\n  },\n  \"transcriber\": {\n    \"provider\": \"Deepgram\",\n    \"model\": \"nova-3\",\n    \"language\": \"en\"\n  },\n  \"model\": {\n    \"provider\": \"openai\",\n    \"model\": \"gpt-4o\",\n    \"temperature\": 0.5,\n    \"maxTokens\": 250,\n    \"emotionRecognitionEnabled\": false,\n    \"messages\": [\n      {\n        \"role\": \"system\",\n        \"content\": \"This is a blank template with minimal defaults, you can change the model, temperature, and messages.\"\n      }\n    ],\n    \"knowledgeBase\": {\n      \"fileIds\": [\n        \"<string>\"\n      ]\n    }\n  },\n  \"firstMessage\": \"Hello.\",\n  \"firstMessageMode\": \"assistant-speaks-first\",\n  \"backgroundSound\": \"office\",\n  \"silenceTimeoutSeconds\": 10,\n  \"backgroundDenoisingEnabled\": true,\n  \"firstMessageInterruptionsEnabled\": false,\n  \"maxDurationSeconds\": 3600,\n  \"analysisPlan\": {},\n  \"knowledgeBase\": {\n    \"fileIds\": [\n      \"<string>\"\n    ]\n  },\n  \"hangupUsingPrompt\": {\n    \"enabled\": false,\n    \"prompt\": \"Thank you for calling. Goodbye!\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.callhq.ai/api/assistants")

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

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"Test Assistant\",\n  \"voice\": {\n    \"provider\": \"sarvam\",\n    \"voiceId\": \"anushka\",\n    \"model\": \"bulbul:v2\",\n    \"language\": \"en\",\n    \"speed\": 1\n  },\n  \"transcriber\": {\n    \"provider\": \"Deepgram\",\n    \"model\": \"nova-3\",\n    \"language\": \"en\"\n  },\n  \"model\": {\n    \"provider\": \"openai\",\n    \"model\": \"gpt-4o\",\n    \"temperature\": 0.5,\n    \"maxTokens\": 250,\n    \"emotionRecognitionEnabled\": false,\n    \"messages\": [\n      {\n        \"role\": \"system\",\n        \"content\": \"This is a blank template with minimal defaults, you can change the model, temperature, and messages.\"\n      }\n    ],\n    \"knowledgeBase\": {\n      \"fileIds\": [\n        \"<string>\"\n      ]\n    }\n  },\n  \"firstMessage\": \"Hello.\",\n  \"firstMessageMode\": \"assistant-speaks-first\",\n  \"backgroundSound\": \"office\",\n  \"silenceTimeoutSeconds\": 10,\n  \"backgroundDenoisingEnabled\": true,\n  \"firstMessageInterruptionsEnabled\": false,\n  \"maxDurationSeconds\": 3600,\n  \"analysisPlan\": {},\n  \"knowledgeBase\": {\n    \"fileIds\": [\n      \"<string>\"\n    ]\n  },\n  \"hangupUsingPrompt\": {\n    \"enabled\": false,\n    \"prompt\": \"Thank you for calling. Goodbye!\"\n  }\n}"

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