Update AI Agent

curl --request PUT \
  --url https://api.example.com/v2/ai-agents/{agent_id} \
  --header 'Content-Type: application/json' \
  --data '
{
  "agent_name": "<string>",
  "language_code": "<string>",
  "llm": {
    "llm_type": "<string>",
    "model_name": "<string>",
    "model_temperature": 0.5,
    "llm_name": "<string>",
    "llm_description": "<string>",
    "base_url": "<string>",
    "api_key": "<string>",
    "max_tokens": 123,
    "required_dynamic_data": [
      "<string>"
    ],
    "system_prompt": "<string>",
    "tools": [
      {}
    ]
  },
  "stt": {
    "provider": "deepgram"
  },
  "tts": {
    "provider": "elevenlabs",
    "voice_id": "<string>",
    "voice_name": "<string>",
    "voice_temperature": 0.2
  },
  "knowledge_base_id": "<string>",
  "minimum_speech_duration_for_interruptions": 7.5,
  "minimum_words_before_interruption": 2,
  "wait_time_before_detecting_end_of_speech": 7.5,
  "ambient_sound_volume": 1,
  "webhook_url": "<string>",
  "end_call_after_silence_seconds": 20,
  "max_call_duration_seconds": 1815,
  "welcome_message": "<string>",
  "voicemail_detection_timeout_seconds": 1,
  "dynamic_data_config": [
    {
      "url": "<string>",
      "method": "<string>",
      "timeout": 123,
      "headers": {},
      "body": {},
      "query": {},
      "cache": true,
      "response_data": [
        {
          "name": "<string>",
          "data": "<string>",
          "context": "<string>"
        }
      ]
    }
  ],
  "post_call_analysis": [
    {
      "type": "<string>",
      "name": "<string>",
      "description": "<string>",
      "system_prompt": "<string>",
      "examples": [
        "<string>"
      ]
    }
  ]
}
'

import requests

url = "https://api.example.com/v2/ai-agents/{agent_id}"

payload = {
    "agent_name": "<string>",
    "language_code": "<string>",
    "llm": {
        "llm_type": "<string>",
        "model_name": "<string>",
        "model_temperature": 0.5,
        "llm_name": "<string>",
        "llm_description": "<string>",
        "base_url": "<string>",
        "api_key": "<string>",
        "max_tokens": 123,
        "required_dynamic_data": ["<string>"],
        "system_prompt": "<string>",
        "tools": [{}]
    },
    "stt": { "provider": "deepgram" },
    "tts": {
        "provider": "elevenlabs",
        "voice_id": "<string>",
        "voice_name": "<string>",
        "voice_temperature": 0.2
    },
    "knowledge_base_id": "<string>",
    "minimum_speech_duration_for_interruptions": 7.5,
    "minimum_words_before_interruption": 2,
    "wait_time_before_detecting_end_of_speech": 7.5,
    "ambient_sound_volume": 1,
    "webhook_url": "<string>",
    "end_call_after_silence_seconds": 20,
    "max_call_duration_seconds": 1815,
    "welcome_message": "<string>",
    "voicemail_detection_timeout_seconds": 1,
    "dynamic_data_config": [
        {
            "url": "<string>",
            "method": "<string>",
            "timeout": 123,
            "headers": {},
            "body": {},
            "query": {},
            "cache": True,
            "response_data": [
                {
                    "name": "<string>",
                    "data": "<string>",
                    "context": "<string>"
                }
            ]
        }
    ],
    "post_call_analysis": [
        {
            "type": "<string>",
            "name": "<string>",
            "description": "<string>",
            "system_prompt": "<string>",
            "examples": ["<string>"]
        }
    ]
}
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({
    agent_name: '<string>',
    language_code: '<string>',
    llm: {
      llm_type: '<string>',
      model_name: '<string>',
      model_temperature: 0.5,
      llm_name: '<string>',
      llm_description: '<string>',
      base_url: '<string>',
      api_key: '<string>',
      max_tokens: 123,
      required_dynamic_data: ['<string>'],
      system_prompt: '<string>',
      tools: [{}]
    },
    stt: {provider: 'deepgram'},
    tts: {
      provider: 'elevenlabs',
      voice_id: '<string>',
      voice_name: '<string>',
      voice_temperature: 0.2
    },
    knowledge_base_id: '<string>',
    minimum_speech_duration_for_interruptions: 7.5,
    minimum_words_before_interruption: 2,
    wait_time_before_detecting_end_of_speech: 7.5,
    ambient_sound_volume: 1,
    webhook_url: '<string>',
    end_call_after_silence_seconds: 20,
    max_call_duration_seconds: 1815,
    welcome_message: '<string>',
    voicemail_detection_timeout_seconds: 1,
    dynamic_data_config: [
      {
        url: '<string>',
        method: '<string>',
        timeout: 123,
        headers: {},
        body: JSON.stringify({}),
        query: {},
        cache: true,
        response_data: [{name: '<string>', data: '<string>', context: '<string>'}]
      }
    ],
    post_call_analysis: [
      {
        type: '<string>',
        name: '<string>',
        description: '<string>',
        system_prompt: '<string>',
        examples: ['<string>']
      }
    ]
  })
};

fetch('https://api.example.com/v2/ai-agents/{agent_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://api.example.com/v2/ai-agents/{agent_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([
    'agent_name' => '<string>',
    'language_code' => '<string>',
    'llm' => [
        'llm_type' => '<string>',
        'model_name' => '<string>',
        'model_temperature' => 0.5,
        'llm_name' => '<string>',
        'llm_description' => '<string>',
        'base_url' => '<string>',
        'api_key' => '<string>',
        'max_tokens' => 123,
        'required_dynamic_data' => [
                '<string>'
        ],
        'system_prompt' => '<string>',
        'tools' => [
                [
                                
                ]
        ]
    ],
    'stt' => [
        'provider' => 'deepgram'
    ],
    'tts' => [
        'provider' => 'elevenlabs',
        'voice_id' => '<string>',
        'voice_name' => '<string>',
        'voice_temperature' => 0.2
    ],
    'knowledge_base_id' => '<string>',
    'minimum_speech_duration_for_interruptions' => 7.5,
    'minimum_words_before_interruption' => 2,
    'wait_time_before_detecting_end_of_speech' => 7.5,
    'ambient_sound_volume' => 1,
    'webhook_url' => '<string>',
    'end_call_after_silence_seconds' => 20,
    'max_call_duration_seconds' => 1815,
    'welcome_message' => '<string>',
    'voicemail_detection_timeout_seconds' => 1,
    'dynamic_data_config' => [
        [
                'url' => '<string>',
                'method' => '<string>',
                'timeout' => 123,
                'headers' => [
                                
                ],
                'body' => [
                                
                ],
                'query' => [
                                
                ],
                'cache' => true,
                'response_data' => [
                                [
                                                                'name' => '<string>',
                                                                'data' => '<string>',
                                                                'context' => '<string>'
                                ]
                ]
        ]
    ],
    'post_call_analysis' => [
        [
                'type' => '<string>',
                'name' => '<string>',
                'description' => '<string>',
                'system_prompt' => '<string>',
                'examples' => [
                                '<string>'
                ]
        ]
    ]
  ]),
  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://api.example.com/v2/ai-agents/{agent_id}"

	payload := strings.NewReader("{\n  \"agent_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"llm\": {\n    \"llm_type\": \"<string>\",\n    \"model_name\": \"<string>\",\n    \"model_temperature\": 0.5,\n    \"llm_name\": \"<string>\",\n    \"llm_description\": \"<string>\",\n    \"base_url\": \"<string>\",\n    \"api_key\": \"<string>\",\n    \"max_tokens\": 123,\n    \"required_dynamic_data\": [\n      \"<string>\"\n    ],\n    \"system_prompt\": \"<string>\",\n    \"tools\": [\n      {}\n    ]\n  },\n  \"stt\": {\n    \"provider\": \"deepgram\"\n  },\n  \"tts\": {\n    \"provider\": \"elevenlabs\",\n    \"voice_id\": \"<string>\",\n    \"voice_name\": \"<string>\",\n    \"voice_temperature\": 0.2\n  },\n  \"knowledge_base_id\": \"<string>\",\n  \"minimum_speech_duration_for_interruptions\": 7.5,\n  \"minimum_words_before_interruption\": 2,\n  \"wait_time_before_detecting_end_of_speech\": 7.5,\n  \"ambient_sound_volume\": 1,\n  \"webhook_url\": \"<string>\",\n  \"end_call_after_silence_seconds\": 20,\n  \"max_call_duration_seconds\": 1815,\n  \"welcome_message\": \"<string>\",\n  \"voicemail_detection_timeout_seconds\": 1,\n  \"dynamic_data_config\": [\n    {\n      \"url\": \"<string>\",\n      \"method\": \"<string>\",\n      \"timeout\": 123,\n      \"headers\": {},\n      \"body\": {},\n      \"query\": {},\n      \"cache\": true,\n      \"response_data\": [\n        {\n          \"name\": \"<string>\",\n          \"data\": \"<string>\",\n          \"context\": \"<string>\"\n        }\n      ]\n    }\n  ],\n  \"post_call_analysis\": [\n    {\n      \"type\": \"<string>\",\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"system_prompt\": \"<string>\",\n      \"examples\": [\n        \"<string>\"\n      ]\n    }\n  ]\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://api.example.com/v2/ai-agents/{agent_id}")
  .header("Content-Type", "application/json")
  .body("{\n  \"agent_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"llm\": {\n    \"llm_type\": \"<string>\",\n    \"model_name\": \"<string>\",\n    \"model_temperature\": 0.5,\n    \"llm_name\": \"<string>\",\n    \"llm_description\": \"<string>\",\n    \"base_url\": \"<string>\",\n    \"api_key\": \"<string>\",\n    \"max_tokens\": 123,\n    \"required_dynamic_data\": [\n      \"<string>\"\n    ],\n    \"system_prompt\": \"<string>\",\n    \"tools\": [\n      {}\n    ]\n  },\n  \"stt\": {\n    \"provider\": \"deepgram\"\n  },\n  \"tts\": {\n    \"provider\": \"elevenlabs\",\n    \"voice_id\": \"<string>\",\n    \"voice_name\": \"<string>\",\n    \"voice_temperature\": 0.2\n  },\n  \"knowledge_base_id\": \"<string>\",\n  \"minimum_speech_duration_for_interruptions\": 7.5,\n  \"minimum_words_before_interruption\": 2,\n  \"wait_time_before_detecting_end_of_speech\": 7.5,\n  \"ambient_sound_volume\": 1,\n  \"webhook_url\": \"<string>\",\n  \"end_call_after_silence_seconds\": 20,\n  \"max_call_duration_seconds\": 1815,\n  \"welcome_message\": \"<string>\",\n  \"voicemail_detection_timeout_seconds\": 1,\n  \"dynamic_data_config\": [\n    {\n      \"url\": \"<string>\",\n      \"method\": \"<string>\",\n      \"timeout\": 123,\n      \"headers\": {},\n      \"body\": {},\n      \"query\": {},\n      \"cache\": true,\n      \"response_data\": [\n        {\n          \"name\": \"<string>\",\n          \"data\": \"<string>\",\n          \"context\": \"<string>\"\n        }\n      ]\n    }\n  ],\n  \"post_call_analysis\": [\n    {\n      \"type\": \"<string>\",\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"system_prompt\": \"<string>\",\n      \"examples\": [\n        \"<string>\"\n      ]\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/v2/ai-agents/{agent_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  \"agent_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"llm\": {\n    \"llm_type\": \"<string>\",\n    \"model_name\": \"<string>\",\n    \"model_temperature\": 0.5,\n    \"llm_name\": \"<string>\",\n    \"llm_description\": \"<string>\",\n    \"base_url\": \"<string>\",\n    \"api_key\": \"<string>\",\n    \"max_tokens\": 123,\n    \"required_dynamic_data\": [\n      \"<string>\"\n    ],\n    \"system_prompt\": \"<string>\",\n    \"tools\": [\n      {}\n    ]\n  },\n  \"stt\": {\n    \"provider\": \"deepgram\"\n  },\n  \"tts\": {\n    \"provider\": \"elevenlabs\",\n    \"voice_id\": \"<string>\",\n    \"voice_name\": \"<string>\",\n    \"voice_temperature\": 0.2\n  },\n  \"knowledge_base_id\": \"<string>\",\n  \"minimum_speech_duration_for_interruptions\": 7.5,\n  \"minimum_words_before_interruption\": 2,\n  \"wait_time_before_detecting_end_of_speech\": 7.5,\n  \"ambient_sound_volume\": 1,\n  \"webhook_url\": \"<string>\",\n  \"end_call_after_silence_seconds\": 20,\n  \"max_call_duration_seconds\": 1815,\n  \"welcome_message\": \"<string>\",\n  \"voicemail_detection_timeout_seconds\": 1,\n  \"dynamic_data_config\": [\n    {\n      \"url\": \"<string>\",\n      \"method\": \"<string>\",\n      \"timeout\": 123,\n      \"headers\": {},\n      \"body\": {},\n      \"query\": {},\n      \"cache\": true,\n      \"response_data\": [\n        {\n          \"name\": \"<string>\",\n          \"data\": \"<string>\",\n          \"context\": \"<string>\"\n        }\n      ]\n    }\n  ],\n  \"post_call_analysis\": [\n    {\n      \"type\": \"<string>\",\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"system_prompt\": \"<string>\",\n      \"examples\": [\n        \"<string>\"\n      ]\n    }\n  ]\n}"

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

{
  "ai_agent_id": "<string>",
  "agent_name": "<string>",
  "llm": {
    "llm_id": "<string>",
    "llm_type": "<string>",
    "model_name": "<string>",
    "system_prompt": "<string>",
    "model_temperature": 0,
    "llm_name": "<string>",
    "llm_description": "<string>",
    "base_url": "<string>",
    "api_key": "<string>",
    "max_tokens": 123,
    "required_dynamic_data": [
      "<string>"
    ],
    "tools": [
      {}
    ]
  },
  "stt": {
    "provider": "<string>"
  },
  "tts": {
    "provider": "<string>",
    "voice_id": "<string>",
    "voice_name": "<string>",
    "voice_temperature": 0.2
  },
  "created_by_user_id": "<string>",
  "language_code": "en-US",
  "knowledge_base_id": "<string>",
  "enable_user_interruptions": true,
  "minimum_speech_duration_for_interruptions": 0.5,
  "minimum_words_before_interruption": 0,
  "wait_time_before_detecting_end_of_speech": 0.5,
  "ambient_sound": "none",
  "ambient_sound_volume": 1,
  "webhook_url": "<string>",
  "end_call_after_silence_seconds": 10,
  "max_call_duration_seconds": 1800,
  "welcome_message": "<string>",
  "voicemail_detection_timeout_seconds": 90,
  "dynamic_data_config": [
    {
      "url": "<string>",
      "method": "<string>",
      "timeout": 123,
      "headers": {},
      "body": {},
      "query": {},
      "cache": true,
      "response_data": [
        {
          "name": "<string>",
          "data": "<string>",
          "context": "<string>"
        }
      ]
    }
  ],
  "post_call_analysis": [
    {
      "type": "<string>",
      "name": "<string>",
      "description": "<string>",
      "system_prompt": "<string>",
      "examples": [
        "<string>"
      ]
    }
  ]
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

PUT

ai-agents

{agent_id}

Update AI Agent

curl --request PUT \
  --url https://api.example.com/v2/ai-agents/{agent_id} \
  --header 'Content-Type: application/json' \
  --data '
{
  "agent_name": "<string>",
  "language_code": "<string>",
  "llm": {
    "llm_type": "<string>",
    "model_name": "<string>",
    "model_temperature": 0.5,
    "llm_name": "<string>",
    "llm_description": "<string>",
    "base_url": "<string>",
    "api_key": "<string>",
    "max_tokens": 123,
    "required_dynamic_data": [
      "<string>"
    ],
    "system_prompt": "<string>",
    "tools": [
      {}
    ]
  },
  "stt": {
    "provider": "deepgram"
  },
  "tts": {
    "provider": "elevenlabs",
    "voice_id": "<string>",
    "voice_name": "<string>",
    "voice_temperature": 0.2
  },
  "knowledge_base_id": "<string>",
  "minimum_speech_duration_for_interruptions": 7.5,
  "minimum_words_before_interruption": 2,
  "wait_time_before_detecting_end_of_speech": 7.5,
  "ambient_sound_volume": 1,
  "webhook_url": "<string>",
  "end_call_after_silence_seconds": 20,
  "max_call_duration_seconds": 1815,
  "welcome_message": "<string>",
  "voicemail_detection_timeout_seconds": 1,
  "dynamic_data_config": [
    {
      "url": "<string>",
      "method": "<string>",
      "timeout": 123,
      "headers": {},
      "body": {},
      "query": {},
      "cache": true,
      "response_data": [
        {
          "name": "<string>",
          "data": "<string>",
          "context": "<string>"
        }
      ]
    }
  ],
  "post_call_analysis": [
    {
      "type": "<string>",
      "name": "<string>",
      "description": "<string>",
      "system_prompt": "<string>",
      "examples": [
        "<string>"
      ]
    }
  ]
}
'

import requests

url = "https://api.example.com/v2/ai-agents/{agent_id}"

payload = {
    "agent_name": "<string>",
    "language_code": "<string>",
    "llm": {
        "llm_type": "<string>",
        "model_name": "<string>",
        "model_temperature": 0.5,
        "llm_name": "<string>",
        "llm_description": "<string>",
        "base_url": "<string>",
        "api_key": "<string>",
        "max_tokens": 123,
        "required_dynamic_data": ["<string>"],
        "system_prompt": "<string>",
        "tools": [{}]
    },
    "stt": { "provider": "deepgram" },
    "tts": {
        "provider": "elevenlabs",
        "voice_id": "<string>",
        "voice_name": "<string>",
        "voice_temperature": 0.2
    },
    "knowledge_base_id": "<string>",
    "minimum_speech_duration_for_interruptions": 7.5,
    "minimum_words_before_interruption": 2,
    "wait_time_before_detecting_end_of_speech": 7.5,
    "ambient_sound_volume": 1,
    "webhook_url": "<string>",
    "end_call_after_silence_seconds": 20,
    "max_call_duration_seconds": 1815,
    "welcome_message": "<string>",
    "voicemail_detection_timeout_seconds": 1,
    "dynamic_data_config": [
        {
            "url": "<string>",
            "method": "<string>",
            "timeout": 123,
            "headers": {},
            "body": {},
            "query": {},
            "cache": True,
            "response_data": [
                {
                    "name": "<string>",
                    "data": "<string>",
                    "context": "<string>"
                }
            ]
        }
    ],
    "post_call_analysis": [
        {
            "type": "<string>",
            "name": "<string>",
            "description": "<string>",
            "system_prompt": "<string>",
            "examples": ["<string>"]
        }
    ]
}
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({
    agent_name: '<string>',
    language_code: '<string>',
    llm: {
      llm_type: '<string>',
      model_name: '<string>',
      model_temperature: 0.5,
      llm_name: '<string>',
      llm_description: '<string>',
      base_url: '<string>',
      api_key: '<string>',
      max_tokens: 123,
      required_dynamic_data: ['<string>'],
      system_prompt: '<string>',
      tools: [{}]
    },
    stt: {provider: 'deepgram'},
    tts: {
      provider: 'elevenlabs',
      voice_id: '<string>',
      voice_name: '<string>',
      voice_temperature: 0.2
    },
    knowledge_base_id: '<string>',
    minimum_speech_duration_for_interruptions: 7.5,
    minimum_words_before_interruption: 2,
    wait_time_before_detecting_end_of_speech: 7.5,
    ambient_sound_volume: 1,
    webhook_url: '<string>',
    end_call_after_silence_seconds: 20,
    max_call_duration_seconds: 1815,
    welcome_message: '<string>',
    voicemail_detection_timeout_seconds: 1,
    dynamic_data_config: [
      {
        url: '<string>',
        method: '<string>',
        timeout: 123,
        headers: {},
        body: JSON.stringify({}),
        query: {},
        cache: true,
        response_data: [{name: '<string>', data: '<string>', context: '<string>'}]
      }
    ],
    post_call_analysis: [
      {
        type: '<string>',
        name: '<string>',
        description: '<string>',
        system_prompt: '<string>',
        examples: ['<string>']
      }
    ]
  })
};

fetch('https://api.example.com/v2/ai-agents/{agent_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://api.example.com/v2/ai-agents/{agent_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([
    'agent_name' => '<string>',
    'language_code' => '<string>',
    'llm' => [
        'llm_type' => '<string>',
        'model_name' => '<string>',
        'model_temperature' => 0.5,
        'llm_name' => '<string>',
        'llm_description' => '<string>',
        'base_url' => '<string>',
        'api_key' => '<string>',
        'max_tokens' => 123,
        'required_dynamic_data' => [
                '<string>'
        ],
        'system_prompt' => '<string>',
        'tools' => [
                [
                                
                ]
        ]
    ],
    'stt' => [
        'provider' => 'deepgram'
    ],
    'tts' => [
        'provider' => 'elevenlabs',
        'voice_id' => '<string>',
        'voice_name' => '<string>',
        'voice_temperature' => 0.2
    ],
    'knowledge_base_id' => '<string>',
    'minimum_speech_duration_for_interruptions' => 7.5,
    'minimum_words_before_interruption' => 2,
    'wait_time_before_detecting_end_of_speech' => 7.5,
    'ambient_sound_volume' => 1,
    'webhook_url' => '<string>',
    'end_call_after_silence_seconds' => 20,
    'max_call_duration_seconds' => 1815,
    'welcome_message' => '<string>',
    'voicemail_detection_timeout_seconds' => 1,
    'dynamic_data_config' => [
        [
                'url' => '<string>',
                'method' => '<string>',
                'timeout' => 123,
                'headers' => [
                                
                ],
                'body' => [
                                
                ],
                'query' => [
                                
                ],
                'cache' => true,
                'response_data' => [
                                [
                                                                'name' => '<string>',
                                                                'data' => '<string>',
                                                                'context' => '<string>'
                                ]
                ]
        ]
    ],
    'post_call_analysis' => [
        [
                'type' => '<string>',
                'name' => '<string>',
                'description' => '<string>',
                'system_prompt' => '<string>',
                'examples' => [
                                '<string>'
                ]
        ]
    ]
  ]),
  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://api.example.com/v2/ai-agents/{agent_id}"

	payload := strings.NewReader("{\n  \"agent_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"llm\": {\n    \"llm_type\": \"<string>\",\n    \"model_name\": \"<string>\",\n    \"model_temperature\": 0.5,\n    \"llm_name\": \"<string>\",\n    \"llm_description\": \"<string>\",\n    \"base_url\": \"<string>\",\n    \"api_key\": \"<string>\",\n    \"max_tokens\": 123,\n    \"required_dynamic_data\": [\n      \"<string>\"\n    ],\n    \"system_prompt\": \"<string>\",\n    \"tools\": [\n      {}\n    ]\n  },\n  \"stt\": {\n    \"provider\": \"deepgram\"\n  },\n  \"tts\": {\n    \"provider\": \"elevenlabs\",\n    \"voice_id\": \"<string>\",\n    \"voice_name\": \"<string>\",\n    \"voice_temperature\": 0.2\n  },\n  \"knowledge_base_id\": \"<string>\",\n  \"minimum_speech_duration_for_interruptions\": 7.5,\n  \"minimum_words_before_interruption\": 2,\n  \"wait_time_before_detecting_end_of_speech\": 7.5,\n  \"ambient_sound_volume\": 1,\n  \"webhook_url\": \"<string>\",\n  \"end_call_after_silence_seconds\": 20,\n  \"max_call_duration_seconds\": 1815,\n  \"welcome_message\": \"<string>\",\n  \"voicemail_detection_timeout_seconds\": 1,\n  \"dynamic_data_config\": [\n    {\n      \"url\": \"<string>\",\n      \"method\": \"<string>\",\n      \"timeout\": 123,\n      \"headers\": {},\n      \"body\": {},\n      \"query\": {},\n      \"cache\": true,\n      \"response_data\": [\n        {\n          \"name\": \"<string>\",\n          \"data\": \"<string>\",\n          \"context\": \"<string>\"\n        }\n      ]\n    }\n  ],\n  \"post_call_analysis\": [\n    {\n      \"type\": \"<string>\",\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"system_prompt\": \"<string>\",\n      \"examples\": [\n        \"<string>\"\n      ]\n    }\n  ]\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://api.example.com/v2/ai-agents/{agent_id}")
  .header("Content-Type", "application/json")
  .body("{\n  \"agent_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"llm\": {\n    \"llm_type\": \"<string>\",\n    \"model_name\": \"<string>\",\n    \"model_temperature\": 0.5,\n    \"llm_name\": \"<string>\",\n    \"llm_description\": \"<string>\",\n    \"base_url\": \"<string>\",\n    \"api_key\": \"<string>\",\n    \"max_tokens\": 123,\n    \"required_dynamic_data\": [\n      \"<string>\"\n    ],\n    \"system_prompt\": \"<string>\",\n    \"tools\": [\n      {}\n    ]\n  },\n  \"stt\": {\n    \"provider\": \"deepgram\"\n  },\n  \"tts\": {\n    \"provider\": \"elevenlabs\",\n    \"voice_id\": \"<string>\",\n    \"voice_name\": \"<string>\",\n    \"voice_temperature\": 0.2\n  },\n  \"knowledge_base_id\": \"<string>\",\n  \"minimum_speech_duration_for_interruptions\": 7.5,\n  \"minimum_words_before_interruption\": 2,\n  \"wait_time_before_detecting_end_of_speech\": 7.5,\n  \"ambient_sound_volume\": 1,\n  \"webhook_url\": \"<string>\",\n  \"end_call_after_silence_seconds\": 20,\n  \"max_call_duration_seconds\": 1815,\n  \"welcome_message\": \"<string>\",\n  \"voicemail_detection_timeout_seconds\": 1,\n  \"dynamic_data_config\": [\n    {\n      \"url\": \"<string>\",\n      \"method\": \"<string>\",\n      \"timeout\": 123,\n      \"headers\": {},\n      \"body\": {},\n      \"query\": {},\n      \"cache\": true,\n      \"response_data\": [\n        {\n          \"name\": \"<string>\",\n          \"data\": \"<string>\",\n          \"context\": \"<string>\"\n        }\n      ]\n    }\n  ],\n  \"post_call_analysis\": [\n    {\n      \"type\": \"<string>\",\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"system_prompt\": \"<string>\",\n      \"examples\": [\n        \"<string>\"\n      ]\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/v2/ai-agents/{agent_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  \"agent_name\": \"<string>\",\n  \"language_code\": \"<string>\",\n  \"llm\": {\n    \"llm_type\": \"<string>\",\n    \"model_name\": \"<string>\",\n    \"model_temperature\": 0.5,\n    \"llm_name\": \"<string>\",\n    \"llm_description\": \"<string>\",\n    \"base_url\": \"<string>\",\n    \"api_key\": \"<string>\",\n    \"max_tokens\": 123,\n    \"required_dynamic_data\": [\n      \"<string>\"\n    ],\n    \"system_prompt\": \"<string>\",\n    \"tools\": [\n      {}\n    ]\n  },\n  \"stt\": {\n    \"provider\": \"deepgram\"\n  },\n  \"tts\": {\n    \"provider\": \"elevenlabs\",\n    \"voice_id\": \"<string>\",\n    \"voice_name\": \"<string>\",\n    \"voice_temperature\": 0.2\n  },\n  \"knowledge_base_id\": \"<string>\",\n  \"minimum_speech_duration_for_interruptions\": 7.5,\n  \"minimum_words_before_interruption\": 2,\n  \"wait_time_before_detecting_end_of_speech\": 7.5,\n  \"ambient_sound_volume\": 1,\n  \"webhook_url\": \"<string>\",\n  \"end_call_after_silence_seconds\": 20,\n  \"max_call_duration_seconds\": 1815,\n  \"welcome_message\": \"<string>\",\n  \"voicemail_detection_timeout_seconds\": 1,\n  \"dynamic_data_config\": [\n    {\n      \"url\": \"<string>\",\n      \"method\": \"<string>\",\n      \"timeout\": 123,\n      \"headers\": {},\n      \"body\": {},\n      \"query\": {},\n      \"cache\": true,\n      \"response_data\": [\n        {\n          \"name\": \"<string>\",\n          \"data\": \"<string>\",\n          \"context\": \"<string>\"\n        }\n      ]\n    }\n  ],\n  \"post_call_analysis\": [\n    {\n      \"type\": \"<string>\",\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"system_prompt\": \"<string>\",\n      \"examples\": [\n        \"<string>\"\n      ]\n    }\n  ]\n}"

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

{
  "ai_agent_id": "<string>",
  "agent_name": "<string>",
  "llm": {
    "llm_id": "<string>",
    "llm_type": "<string>",
    "model_name": "<string>",
    "system_prompt": "<string>",
    "model_temperature": 0,
    "llm_name": "<string>",
    "llm_description": "<string>",
    "base_url": "<string>",
    "api_key": "<string>",
    "max_tokens": 123,
    "required_dynamic_data": [
      "<string>"
    ],
    "tools": [
      {}
    ]
  },
  "stt": {
    "provider": "<string>"
  },
  "tts": {
    "provider": "<string>",
    "voice_id": "<string>",
    "voice_name": "<string>",
    "voice_temperature": 0.2
  },
  "created_by_user_id": "<string>",
  "language_code": "en-US",
  "knowledge_base_id": "<string>",
  "enable_user_interruptions": true,
  "minimum_speech_duration_for_interruptions": 0.5,
  "minimum_words_before_interruption": 0,
  "wait_time_before_detecting_end_of_speech": 0.5,
  "ambient_sound": "none",
  "ambient_sound_volume": 1,
  "webhook_url": "<string>",
  "end_call_after_silence_seconds": 10,
  "max_call_duration_seconds": 1800,
  "welcome_message": "<string>",
  "voicemail_detection_timeout_seconds": 90,
  "dynamic_data_config": [
    {
      "url": "<string>",
      "method": "<string>",
      "timeout": 123,
      "headers": {},
      "body": {},
      "query": {},
      "cache": true,
      "response_data": [
        {
          "name": "<string>",
          "data": "<string>",
          "context": "<string>"
        }
      ]
    }
  ],
  "post_call_analysis": [
    {
      "type": "<string>",
      "name": "<string>",
      "description": "<string>",
      "system_prompt": "<string>",
      "examples": [
        "<string>"
      ]
    }
  ]
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

Path Parameters

agent_id

string

required

Body

application/json

agent_name

string | null

The display name for the AI agent that will be used in logs, analytics and user interfaces

language_code

string | null

BCP-47 language code (e.g., 'en-US', 'es-ES') that specifies the primary language for the agent's speech and understanding

llm

UpdateSimplePiaLLMRequest · object

Updated configuration for the Language Learning Model (LLM) that powers the agent's conversational abilities

UpdateSimplePiaLLMRequest
UpdateAgenticPiaLLMRequest
UpdateCustomPiaLLMRequest

Show child attributes

stt

UpdateDeepgramSTTRequest · object

Updated configuration for the Speech-to-Text service that converts user speech to text for processing

UpdateDeepgramSTTRequest
UpdateGoogleSTTRequest
UpdatePiaSTTRequest

Show child attributes

tts

UpdateElevenLabsTTSRequest · object

Updated configuration for the Text-to-Speech service that converts the agent's responses to natural speech

UpdateElevenLabsTTSRequest
UpdateGoogleTTSRequest
UpdateAzureTTSRequest
UpdateCartesiaTTSRequest
UpdatePiaTTSRequest

Show child attributes

knowledge_base_id

string | null

ID reference to a knowledge base containing domain-specific information the agent can use to enhance responses

minimum_speech_duration_for_interruptions

number | null

Minimum duration in seconds that a user must speak before the agent can be interrupted, helps prevent premature interruptions

Required range: 0 <= x <= 15

minimum_words_before_interruption

integer | null

Minimum number of words that must be spoken before allowing interruption, provides more natural conversation flow

Required range: 0 <= x <= 5

wait_time_before_detecting_end_of_speech

number | null

Time in seconds to wait for additional speech before concluding the user has finished speaking

Required range: 0 <= x <= 15

ambient_sound

enum<string> | null

Type of background ambient sound to play during calls to create a more immersive and natural environment

Available options:

office,

cafe,

restaurant,

park,

street,

home,

library,

airport,

train_station,

beach,

none

ambient_sound_volume

number | null

Volume level for the ambient background sound, ranging from 0 (muted) to 2 (maximum volume)

Required range: 0 <= x <= 2

webhook_url

string | null

HTTPS URL endpoint where real-time call events and updates will be sent via webhook notifications

end_call_after_silence_seconds

number | null

Number of seconds of continuous silence after which the call will automatically end to prevent hanging calls

Required range: 10 <= x <= 30

max_call_duration_seconds

number | null

Maximum allowed duration for a single call in seconds (between 30 seconds and 1 hour) to prevent indefinite calls

Required range: 30 <= x <= 3600

welcome_message

string | null

Custom greeting message that the agent will speak at the beginning of each call

voicemail_detection_timeout_seconds

number | null

Maximum time in seconds to wait while attempting to detect if the call was answered by a voicemail system

Required range: x >= 0

dynamic_data_config

UpdateDynamicDataConfigItemRequest · object[] | null

Configuration for external data sources that the agent can query in real-time during calls to provide up-to-date information

Show child attributes

post_call_analysis

(UpdateStringPostCallAnalysisItemRequest · object | UpdateEnumPostCallAnalysisItemRequest · object | UpdateBooleanPostCallAnalysisItemRequest · object | UpdateNumberPostCallAnalysisItemRequest · object)[] | null

Configuration for automated analysis tasks to be performed after each call, such as sentiment analysis or call summarization

UpdateStringPostCallAnalysisItemRequest
UpdateEnumPostCallAnalysisItemRequest
UpdateBooleanPostCallAnalysisItemRequest
UpdateNumberPostCallAnalysisItemRequest

Show child attributes

Response

Successful Response

ai_agent_id

string

required

Unique identifier for the AI agent

agent_name

string

required

Name of the AI agent

llm

SimplePiaLLMResponse · object

required

Language model configuration for the AI agent

SimplePiaLLMResponse
AgenticPiaLLMResponse
CustomPiaLLMResponse

Show child attributes

stt

DeepgramSTTResponse · object

required

Speech-to-text configuration for the AI agent

DeepgramSTTResponse
GoogleSTTResponse
PiaSTTResponse

Show child attributes

tts

ElevenLabsTTSResponse · object

required

Text-to-speech configuration for the AI agent

ElevenLabsTTSResponse
GoogleTTSResponse
AzureTTSResponse
CartesiaTTSResponse
PiaTTSResponse

Show child attributes

created_by_user_id

string

required

ID of the user who created this AI agent

language_code

string

default:en-US

Language code for the AI agent in BCP-47 format

knowledge_base_id

string | null

ID of the associated knowledge base, if any

enable_user_interruptions

boolean

default:true

Whether to allow users to interrupt the AI agent while speaking

minimum_speech_duration_for_interruptions

number

default:0.5

Minimum duration of speech in seconds before interruptions are allowed

Required range: 0 <= x <= 15

minimum_words_before_interruption

integer

default:0

Minimum number of words that must be spoken before interruption is allowed

Required range: 0 <= x <= 5

wait_time_before_detecting_end_of_speech

number

default:0.5

Time in seconds to wait before considering speech has ended

Required range: 0 <= x <= 15

ambient_sound

enum<string>

default:none

Type of ambient background sound to use during calls

Available options:

office,

cafe,

restaurant,

park,

street,

home,

library,

airport,

train_station,

beach,

none

ambient_sound_volume

number

default:1

Volume level for ambient sound, from 0 (muted) to 2 (loud)

Required range: 0 <= x <= 2

webhook_url

string | null

URL to send webhook notifications about call events

end_call_after_silence_seconds

number

default:10

Number of seconds of silence before automatically ending the call

Required range: 10 <= x <= 30

max_call_duration_seconds

number

default:1800

Maximum duration of a call in seconds

Required range: 30 <= x <= 3600

welcome_message

string | null

Custom welcome message to play at the start of calls

voicemail_detection_timeout_seconds

number

default:90

Time in seconds to wait for voicemail detection

Required range: x >= 0

dynamic_data_config

DynamicDataConfigItemResponse · object[] | null

Configuration for dynamic data sources that can be used during calls

Show child attributes

post_call_analysis

(StringPostCallAnalysisItemResponse · object | EnumPostCallAnalysisItemResponse · object | BooleanPostCallAnalysisItemResponse · object | NumberPostCallAnalysisItemResponse · object)[] | null

Configuration for analysis items to be processed after calls

StringPostCallAnalysisItemResponse
EnumPostCallAnalysisItemResponse
BooleanPostCallAnalysisItemResponse
NumberPostCallAnalysisItemResponse

Show child attributes

⌘I

API Reference

AI Agents v2

Built-in Tools

Custom Tools

Calls

Call Recording

Post-call Analysis

Phone Numbers

Knowledge Bases v2

Prompt Generation

Public Sharing

Webhook Subscriptions

API Keys

Update AI Agent

Path Parameters

Body

Response