curl --request POST \
  --url https://api.pyai.com/v1/agents \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "persona_system_prompt": "<string>",
  "greeting": "<string>",
  "greeting_variants": [
    "<string>"
  ],
  "voice_id": "<string>",
  "voice_instruct": "<string>",
  "brain_model": "<string>",
  "barge_sensitivity": "<string>",
  "ack_mode": "<string>",
  "platform_guidance": "<string>",
  "inherit_org_knowledgebases": true,
  "recordings_enabled": true,
  "consent_line": "<string>",
  "metadata": {},
  "vocabulary": [
    "<string>"
  ],
  "keyterms": [
    "<string>"
  ],
  "goals": [
    "<string>"
  ],
  "extraction_schema": {},
  "extraction_webhook_url": "<string>",
  "tools": [
    {
      "tool_id": "<string>",
      "enabled": true,
      "config": {},
      "name": "<string>",
      "description": "<string>",
      "input_schema": {}
    }
  ],
  "continuity": true
}
'

import requests

url = "https://api.pyai.com/v1/agents"

payload = {
    "name": "<string>",
    "persona_system_prompt": "<string>",
    "greeting": "<string>",
    "greeting_variants": ["<string>"],
    "voice_id": "<string>",
    "voice_instruct": "<string>",
    "brain_model": "<string>",
    "barge_sensitivity": "<string>",
    "ack_mode": "<string>",
    "platform_guidance": "<string>",
    "inherit_org_knowledgebases": True,
    "recordings_enabled": True,
    "consent_line": "<string>",
    "metadata": {},
    "vocabulary": ["<string>"],
    "keyterms": ["<string>"],
    "goals": ["<string>"],
    "extraction_schema": {},
    "extraction_webhook_url": "<string>",
    "tools": [
        {
            "tool_id": "<string>",
            "enabled": True,
            "config": {},
            "name": "<string>",
            "description": "<string>",
            "input_schema": {}
        }
    ],
    "continuity": True
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: '<string>',
    persona_system_prompt: '<string>',
    greeting: '<string>',
    greeting_variants: ['<string>'],
    voice_id: '<string>',
    voice_instruct: '<string>',
    brain_model: '<string>',
    barge_sensitivity: '<string>',
    ack_mode: '<string>',
    platform_guidance: '<string>',
    inherit_org_knowledgebases: true,
    recordings_enabled: true,
    consent_line: '<string>',
    metadata: {},
    vocabulary: ['<string>'],
    keyterms: ['<string>'],
    goals: ['<string>'],
    extraction_schema: {},
    extraction_webhook_url: '<string>',
    tools: [
      {
        tool_id: '<string>',
        enabled: true,
        config: {},
        name: '<string>',
        description: '<string>',
        input_schema: {}
      }
    ],
    continuity: true
  })
};

fetch('https://api.pyai.com/v1/agents', 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.pyai.com/v1/agents",
  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>',
    'persona_system_prompt' => '<string>',
    'greeting' => '<string>',
    'greeting_variants' => [
        '<string>'
    ],
    'voice_id' => '<string>',
    'voice_instruct' => '<string>',
    'brain_model' => '<string>',
    'barge_sensitivity' => '<string>',
    'ack_mode' => '<string>',
    'platform_guidance' => '<string>',
    'inherit_org_knowledgebases' => true,
    'recordings_enabled' => true,
    'consent_line' => '<string>',
    'metadata' => [
        
    ],
    'vocabulary' => [
        '<string>'
    ],
    'keyterms' => [
        '<string>'
    ],
    'goals' => [
        '<string>'
    ],
    'extraction_schema' => [
        
    ],
    'extraction_webhook_url' => '<string>',
    'tools' => [
        [
                'tool_id' => '<string>',
                'enabled' => true,
                'config' => [
                                
                ],
                'name' => '<string>',
                'description' => '<string>',
                'input_schema' => [
                                
                ]
        ]
    ],
    'continuity' => true
  ]),
  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://api.pyai.com/v1/agents"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"persona_system_prompt\": \"<string>\",\n  \"greeting\": \"<string>\",\n  \"greeting_variants\": [\n    \"<string>\"\n  ],\n  \"voice_id\": \"<string>\",\n  \"voice_instruct\": \"<string>\",\n  \"brain_model\": \"<string>\",\n  \"barge_sensitivity\": \"<string>\",\n  \"ack_mode\": \"<string>\",\n  \"platform_guidance\": \"<string>\",\n  \"inherit_org_knowledgebases\": true,\n  \"recordings_enabled\": true,\n  \"consent_line\": \"<string>\",\n  \"metadata\": {},\n  \"vocabulary\": [\n    \"<string>\"\n  ],\n  \"keyterms\": [\n    \"<string>\"\n  ],\n  \"goals\": [\n    \"<string>\"\n  ],\n  \"extraction_schema\": {},\n  \"extraction_webhook_url\": \"<string>\",\n  \"tools\": [\n    {\n      \"tool_id\": \"<string>\",\n      \"enabled\": true,\n      \"config\": {},\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"input_schema\": {}\n    }\n  ],\n  \"continuity\": true\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))

}

HttpResponse<String> response = Unirest.post("https://api.pyai.com/v1/agents")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"persona_system_prompt\": \"<string>\",\n  \"greeting\": \"<string>\",\n  \"greeting_variants\": [\n    \"<string>\"\n  ],\n  \"voice_id\": \"<string>\",\n  \"voice_instruct\": \"<string>\",\n  \"brain_model\": \"<string>\",\n  \"barge_sensitivity\": \"<string>\",\n  \"ack_mode\": \"<string>\",\n  \"platform_guidance\": \"<string>\",\n  \"inherit_org_knowledgebases\": true,\n  \"recordings_enabled\": true,\n  \"consent_line\": \"<string>\",\n  \"metadata\": {},\n  \"vocabulary\": [\n    \"<string>\"\n  ],\n  \"keyterms\": [\n    \"<string>\"\n  ],\n  \"goals\": [\n    \"<string>\"\n  ],\n  \"extraction_schema\": {},\n  \"extraction_webhook_url\": \"<string>\",\n  \"tools\": [\n    {\n      \"tool_id\": \"<string>\",\n      \"enabled\": true,\n      \"config\": {},\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"input_schema\": {}\n    }\n  ],\n  \"continuity\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.pyai.com/v1/agents")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"<string>\",\n  \"persona_system_prompt\": \"<string>\",\n  \"greeting\": \"<string>\",\n  \"greeting_variants\": [\n    \"<string>\"\n  ],\n  \"voice_id\": \"<string>\",\n  \"voice_instruct\": \"<string>\",\n  \"brain_model\": \"<string>\",\n  \"barge_sensitivity\": \"<string>\",\n  \"ack_mode\": \"<string>\",\n  \"platform_guidance\": \"<string>\",\n  \"inherit_org_knowledgebases\": true,\n  \"recordings_enabled\": true,\n  \"consent_line\": \"<string>\",\n  \"metadata\": {},\n  \"vocabulary\": [\n    \"<string>\"\n  ],\n  \"keyterms\": [\n    \"<string>\"\n  ],\n  \"goals\": [\n    \"<string>\"\n  ],\n  \"extraction_schema\": {},\n  \"extraction_webhook_url\": \"<string>\",\n  \"tools\": [\n    {\n      \"tool_id\": \"<string>\",\n      \"enabled\": true,\n      \"config\": {},\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"input_schema\": {}\n    }\n  ],\n  \"continuity\": true\n}"

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

{
  "object": "agent",
  "agent_id": "agent_7f3a0b12",
  "name": "<string>",
  "persona_system_prompt": "<string>",
  "platform_guidance": "<string>",
  "prompt_limit_characters": 8000,
  "greeting": "<string>",
  "greeting_variants": [
    "<string>"
  ],
  "voice_id": "<string>",
  "voice_instruct": "<string>",
  "brain_model": "default",
  "barge_sensitivity": "<string>",
  "ack_mode": "<string>",
  "idle_check_in": "auto",
  "persona_perspective": "agent",
  "mode": "default",
  "role": "<string>",
  "continuity": true,
  "inherit_org_knowledgebases": true,
  "knowledgebases": [
    {
      "kb_id": "<string>",
      "weight": 1
    }
  ],
  "recordings_enabled": true,
  "consent_line": "<string>",
  "language": "en",
  "vocabulary": [
    "<string>"
  ],
  "keyterms": [
    "<string>"
  ],
  "goals": [
    "<string>"
  ],
  "metadata": {},
  "extraction_schema": {},
  "extraction_webhook_url": "<string>",
  "tools": [
    {
      "tool_id": "<string>",
      "enabled": true,
      "config": {},
      "name": "<string>",
      "description": "<string>",
      "input_schema": {},
      "execution": "hosted"
    }
  ],
  "created_at": 123
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "code": "invalid_request_error",
    "param": "<string>"
  }
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "code": "invalid_request_error",
    "param": "<string>"
  }
}

{
  "error": {
    "message": "<string>",
    "type": "<string>",
    "code": "invalid_request_error",
    "param": "<string>"
  }
}