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POST
/
api
/
v1
/
agents
Create Agent
curl --request POST \
  --url https://control-plane.kubiya.ai/api/v1/agents \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "description": "<string>",
  "system_prompt": "<string>",
  "capabilities": [
    "<unknown>"
  ],
  "configuration": {},
  "model_id": "<string>",
  "model": "<string>",
  "llm_config": {},
  "runtime": "<string>",
  "runner_name": "<string>",
  "team_id": "<string>",
  "environment_ids": [
    "<string>"
  ],
  "skill_ids": [
    "<string>"
  ],
  "skill_configurations": {},
  "execution_environment": {
    "working_dir": "<string>",
    "env_vars": {},
    "secrets": [
      "<string>"
    ],
    "integration_ids": [
      "<string>"
    ],
    "mcp_servers": {}
  }
}
'
import requests

url = "https://control-plane.kubiya.ai/api/v1/agents"

payload = {
    "name": "<string>",
    "description": "<string>",
    "system_prompt": "<string>",
    "capabilities": ["<unknown>"],
    "configuration": {},
    "model_id": "<string>",
    "model": "<string>",
    "llm_config": {},
    "runtime": "<string>",
    "runner_name": "<string>",
    "team_id": "<string>",
    "environment_ids": ["<string>"],
    "skill_ids": ["<string>"],
    "skill_configurations": {},
    "execution_environment": {
        "working_dir": "<string>",
        "env_vars": {},
        "secrets": ["<string>"],
        "integration_ids": ["<string>"],
        "mcp_servers": {}
    }
}
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>',
    description: '<string>',
    system_prompt: '<string>',
    capabilities: ['<unknown>'],
    configuration: {},
    model_id: '<string>',
    model: '<string>',
    llm_config: {},
    runtime: '<string>',
    runner_name: '<string>',
    team_id: '<string>',
    environment_ids: ['<string>'],
    skill_ids: ['<string>'],
    skill_configurations: {},
    execution_environment: {
      working_dir: '<string>',
      env_vars: {},
      secrets: ['<string>'],
      integration_ids: ['<string>'],
      mcp_servers: {}
    }
  })
};

fetch('https://control-plane.kubiya.ai/api/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://control-plane.kubiya.ai/api/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>',
    'description' => '<string>',
    'system_prompt' => '<string>',
    'capabilities' => [
        '<unknown>'
    ],
    'configuration' => [
        
    ],
    'model_id' => '<string>',
    'model' => '<string>',
    'llm_config' => [
        
    ],
    'runtime' => '<string>',
    'runner_name' => '<string>',
    'team_id' => '<string>',
    'environment_ids' => [
        '<string>'
    ],
    'skill_ids' => [
        '<string>'
    ],
    'skill_configurations' => [
        
    ],
    'execution_environment' => [
        'working_dir' => '<string>',
        'env_vars' => [
                
        ],
        'secrets' => [
                '<string>'
        ],
        'integration_ids' => [
                '<string>'
        ],
        'mcp_servers' => [
                
        ]
    ]
  ]),
  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/agents"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"capabilities\": [\n    \"<unknown>\"\n  ],\n  \"configuration\": {},\n  \"model_id\": \"<string>\",\n  \"model\": \"<string>\",\n  \"llm_config\": {},\n  \"runtime\": \"<string>\",\n  \"runner_name\": \"<string>\",\n  \"team_id\": \"<string>\",\n  \"environment_ids\": [\n    \"<string>\"\n  ],\n  \"skill_ids\": [\n    \"<string>\"\n  ],\n  \"skill_configurations\": {},\n  \"execution_environment\": {\n    \"working_dir\": \"<string>\",\n    \"env_vars\": {},\n    \"secrets\": [\n      \"<string>\"\n    ],\n    \"integration_ids\": [\n      \"<string>\"\n    ],\n    \"mcp_servers\": {}\n  }\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/agents")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"capabilities\": [\n    \"<unknown>\"\n  ],\n  \"configuration\": {},\n  \"model_id\": \"<string>\",\n  \"model\": \"<string>\",\n  \"llm_config\": {},\n  \"runtime\": \"<string>\",\n  \"runner_name\": \"<string>\",\n  \"team_id\": \"<string>\",\n  \"environment_ids\": [\n    \"<string>\"\n  ],\n  \"skill_ids\": [\n    \"<string>\"\n  ],\n  \"skill_configurations\": {},\n  \"execution_environment\": {\n    \"working_dir\": \"<string>\",\n    \"env_vars\": {},\n    \"secrets\": [\n      \"<string>\"\n    ],\n    \"integration_ids\": [\n      \"<string>\"\n    ],\n    \"mcp_servers\": {}\n  }\n}")
  .asString();
require 'uri'
require 'net/http'

url = URI("https://control-plane.kubiya.ai/api/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  \"description\": \"<string>\",\n  \"system_prompt\": \"<string>\",\n  \"capabilities\": [\n    \"<unknown>\"\n  ],\n  \"configuration\": {},\n  \"model_id\": \"<string>\",\n  \"model\": \"<string>\",\n  \"llm_config\": {},\n  \"runtime\": \"<string>\",\n  \"runner_name\": \"<string>\",\n  \"team_id\": \"<string>\",\n  \"environment_ids\": [\n    \"<string>\"\n  ],\n  \"skill_ids\": [\n    \"<string>\"\n  ],\n  \"skill_configurations\": {},\n  \"execution_environment\": {\n    \"working_dir\": \"<string>\",\n    \"env_vars\": {},\n    \"secrets\": [\n      \"<string>\"\n    ],\n    \"integration_ids\": [\n      \"<string>\"\n    ],\n    \"mcp_servers\": {}\n  }\n}"

response = http.request(request)
puts response.read_body
{
  "id": "<string>",
  "organization_id": "<string>",
  "name": "<string>",
  "description": "<string>",
  "system_prompt": "<string>",
  "status": "<string>",
  "capabilities": [
    "<unknown>"
  ],
  "configuration": {},
  "model_id": "<string>",
  "llm_config": {},
  "runtime": "<string>",
  "runner_name": "<string>",
  "team_id": "<string>",
  "created_at": "<string>",
  "updated_at": "<string>",
  "last_active_at": "<string>",
  "state": {},
  "error_message": "<string>",
  "projects": [
    {}
  ],
  "environments": [
    {}
  ],
  "skill_ids": [
    "<string>"
  ],
  "skills": [
    {}
  ],
  "execution_environment": {
    "working_dir": "<string>",
    "env_vars": {},
    "secrets": [
      "<string>"
    ],
    "integration_ids": [
      "<string>"
    ],
    "mcp_servers": {}
  }
}
{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

Authorizations

Authorization
string
header
required

Enter your Kubiya API token (format: Bearer )

Body

application/json
name
string
required

Agent name

description
string | null

Agent description

system_prompt
string | null

System prompt for the agent

capabilities
any[]

Agent capabilities

configuration
Configuration · object

Agent configuration

model_id
string | null

LiteLLM model identifier

model
string | null

Model identifier (alias for model_id)

llm_config
Llm Config · object

Model-specific configuration

runtime
string | null

Runtime type: 'default' (Agno) or 'claude_code' (Claude Code SDK)

runner_name
string | null

Preferred runner for this agent

team_id
string | null

Team ID to assign this agent to

environment_ids
string[]

Environment IDs to deploy this agent to

skill_ids
string[]

Tool set IDs to associate with this agent

skill_configurations
Skill Configurations · object

Tool set configurations keyed by skill ID

execution_environment
ExecutionEnvironment · object | null

Execution environment: env vars, secrets, integrations

Response

Successful Response

id
string
required
organization_id
string
required
name
string
required
description
string | null
required
system_prompt
string | null
required
status
string
required
capabilities
any[]
required
configuration
Configuration · object
required
model_id
string | null
required
llm_config
Llm Config · object
required
runtime
string | null
required
runner_name
string | null
required
team_id
string | null
required
created_at
string
required
updated_at
string
required
last_active_at
string | null
required
state
State · object
required
error_message
string | null
required
projects
Projects · object[]

Projects this agent belongs to

environments
Environments · object[]

Environments this agent is deployed to

skill_ids
string[] | null

IDs of associated skills

skills
Skills · object[] | null

Associated skills with details

execution_environment
ExecutionEnvironment · object | null

Execution environment configuration for agents/teams