curl --request POST \
  --url https://control-plane.kubiya.ai/api/v1/dynamic-executions/execute \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "<string>",
  "entity": {
    "system_prompt": "<string>",
    "entity_type": "agent",
    "name": "<string>",
    "model_id": "kubiya/claude-sonnet-4",
    "model_params": {},
    "capabilities": [
      "<string>"
    ],
    "configuration": {},
    "mcp_servers": {},
    "skill_ids": [
      "<string>"
    ],
    "subagents": [
      "<unknown>"
    ],
    "runtime": "claude_code"
  },
  "worker_queue_id": "<string>",
  "meta_agent_session_id": "<string>",
  "is_shared": false,
  "privacy_level": "private",
  "execution_environment": {}
}
'

import requests

url = "https://control-plane.kubiya.ai/api/v1/dynamic-executions/execute"

payload = {
    "prompt": "<string>",
    "entity": {
        "system_prompt": "<string>",
        "entity_type": "agent",
        "name": "<string>",
        "model_id": "kubiya/claude-sonnet-4",
        "model_params": {},
        "capabilities": ["<string>"],
        "configuration": {},
        "mcp_servers": {},
        "skill_ids": ["<string>"],
        "subagents": ["<unknown>"],
        "runtime": "claude_code"
    },
    "worker_queue_id": "<string>",
    "meta_agent_session_id": "<string>",
    "is_shared": False,
    "privacy_level": "private",
    "execution_environment": {}
}
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({
    prompt: '<string>',
    entity: {
      system_prompt: '<string>',
      entity_type: 'agent',
      name: '<string>',
      model_id: 'kubiya/claude-sonnet-4',
      model_params: {},
      capabilities: ['<string>'],
      configuration: {},
      mcp_servers: {},
      skill_ids: ['<string>'],
      subagents: ['<unknown>'],
      runtime: 'claude_code'
    },
    worker_queue_id: '<string>',
    meta_agent_session_id: '<string>',
    is_shared: false,
    privacy_level: 'private',
    execution_environment: {}
  })
};

fetch('https://control-plane.kubiya.ai/api/v1/dynamic-executions/execute', 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://control-plane.kubiya.ai/api/v1/dynamic-executions/execute",
  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([
    'prompt' => '<string>',
    'entity' => [
        'system_prompt' => '<string>',
        'entity_type' => 'agent',
        'name' => '<string>',
        'model_id' => 'kubiya/claude-sonnet-4',
        'model_params' => [
                
        ],
        'capabilities' => [
                '<string>'
        ],
        'configuration' => [
                
        ],
        'mcp_servers' => [
                
        ],
        'skill_ids' => [
                '<string>'
        ],
        'subagents' => [
                '<unknown>'
        ],
        'runtime' => 'claude_code'
    ],
    'worker_queue_id' => '<string>',
    'meta_agent_session_id' => '<string>',
    'is_shared' => false,
    'privacy_level' => 'private',
    'execution_environment' => [
        
    ]
  ]),
  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://control-plane.kubiya.ai/api/v1/dynamic-executions/execute"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\",\n  \"entity\": {\n    \"system_prompt\": \"<string>\",\n    \"entity_type\": \"agent\",\n    \"name\": \"<string>\",\n    \"model_id\": \"kubiya/claude-sonnet-4\",\n    \"model_params\": {},\n    \"capabilities\": [\n      \"<string>\"\n    ],\n    \"configuration\": {},\n    \"mcp_servers\": {},\n    \"skill_ids\": [\n      \"<string>\"\n    ],\n    \"subagents\": [\n      \"<unknown>\"\n    ],\n    \"runtime\": \"claude_code\"\n  },\n  \"worker_queue_id\": \"<string>\",\n  \"meta_agent_session_id\": \"<string>\",\n  \"is_shared\": false,\n  \"privacy_level\": \"private\",\n  \"execution_environment\": {}\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://control-plane.kubiya.ai/api/v1/dynamic-executions/execute")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"<string>\",\n  \"entity\": {\n    \"system_prompt\": \"<string>\",\n    \"entity_type\": \"agent\",\n    \"name\": \"<string>\",\n    \"model_id\": \"kubiya/claude-sonnet-4\",\n    \"model_params\": {},\n    \"capabilities\": [\n      \"<string>\"\n    ],\n    \"configuration\": {},\n    \"mcp_servers\": {},\n    \"skill_ids\": [\n      \"<string>\"\n    ],\n    \"subagents\": [\n      \"<unknown>\"\n    ],\n    \"runtime\": \"claude_code\"\n  },\n  \"worker_queue_id\": \"<string>\",\n  \"meta_agent_session_id\": \"<string>\",\n  \"is_shared\": false,\n  \"privacy_level\": \"private\",\n  \"execution_environment\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://control-plane.kubiya.ai/api/v1/dynamic-executions/execute")

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  \"prompt\": \"<string>\",\n  \"entity\": {\n    \"system_prompt\": \"<string>\",\n    \"entity_type\": \"agent\",\n    \"name\": \"<string>\",\n    \"model_id\": \"kubiya/claude-sonnet-4\",\n    \"model_params\": {},\n    \"capabilities\": [\n      \"<string>\"\n    ],\n    \"configuration\": {},\n    \"mcp_servers\": {},\n    \"skill_ids\": [\n      \"<string>\"\n    ],\n    \"subagents\": [\n      \"<unknown>\"\n    ],\n    \"runtime\": \"claude_code\"\n  },\n  \"worker_queue_id\": \"<string>\",\n  \"meta_agent_session_id\": \"<string>\",\n  \"is_shared\": false,\n  \"privacy_level\": \"private\",\n  \"execution_environment\": {}\n}"

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

{
  "execution_id": "<string>",
  "workflow_id": "<string>",
  "status": "<string>",
  "entity_id": "<string>",
  "worker_queue_id": "<string>",
  "message": "<string>"
}

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