curl --request POST \
  --url https://api.xpander.ai/v1/agents \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "name": "Research Assistant",
  "instructions": {
    "role": [
      "You are a web research assistant."
    ],
    "goal": [
      "Search the web and report findings as JSON."
    ]
  },
  "output_format": "json"
}
'

import requests

url = "https://api.xpander.ai/v1/agents"

payload = {
    "name": "Research Assistant",
    "instructions": {
        "role": ["You are a web research assistant."],
        "goal": ["Search the web and report findings as JSON."]
    },
    "output_format": "json"
}
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: 'Research Assistant',
    instructions: {
      role: ['You are a web research assistant.'],
      goal: ['Search the web and report findings as JSON.']
    },
    output_format: 'json'
  })
};

fetch('https://api.xpander.ai/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.xpander.ai/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' => 'Research Assistant',
    'instructions' => [
        'role' => [
                'You are a web research assistant.'
        ],
        'goal' => [
                'Search the web and report findings as JSON.'
        ]
    ],
    'output_format' => 'json'
  ]),
  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.xpander.ai/v1/agents"

	payload := strings.NewReader("{\n  \"name\": \"Research Assistant\",\n  \"instructions\": {\n    \"role\": [\n      \"You are a web research assistant.\"\n    ],\n    \"goal\": [\n      \"Search the web and report findings as JSON.\"\n    ]\n  },\n  \"output_format\": \"json\"\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.xpander.ai/v1/agents")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"Research Assistant\",\n  \"instructions\": {\n    \"role\": [\n      \"You are a web research assistant.\"\n    ],\n    \"goal\": [\n      \"Search the web and report findings as JSON.\"\n    ]\n  },\n  \"output_format\": \"json\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.xpander.ai/v1/agents")

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\": \"Research Assistant\",\n  \"instructions\": {\n    \"role\": [\n      \"You are a web research assistant.\"\n    ],\n    \"goal\": [\n      \"Search the web and report findings as JSON.\"\n    ]\n  },\n  \"output_format\": \"json\"\n}"

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

{
  "name": "<string>",
  "organization_id": "<string>",
  "webhook_url": "<string>",
  "id": "<string>",
  "unique_name": "<string>",
  "origin_template": "<string>",
  "environment_id": "<string>",
  "deployment_type": "serverless",
  "prompts": [],
  "is_latest": false,
  "has_pending_changes": false,
  "deep_planning": true,
  "enforce_deep_planning": true,
  "use_agent_gateway": false,
  "connectivity_details": {},
  "framework": "agno",
  "description": "",
  "tools": [],
  "icon": "🚀",
  "avatar": "male-avatar",
  "source_nodes": [],
  "attached_tools": [],
  "access_scope": "personal",
  "instructions": {
    "role": [],
    "goal": [],
    "general": ""
  },
  "oas": {},
  "graph": [],
  "is_omni": false,
  "skills": [],
  "status": "ACTIVE",
  "knowledge_bases": [],
  "version": 1,
  "created_by": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "using_nemo": false,
  "deletable": true,
  "model_provider": "amazon_bedrock",
  "model_name": "global.anthropic.claude-sonnet-5",
  "llm_reasoning_effort": "medium",
  "llm_api_base": "<string>",
  "output_format": "markdown",
  "voice_id": "<string>",
  "output_schema": {},
  "llm_credentials_key": "<string>",
  "llm_credentials_key_type": "xpander",
  "llm_credentials": {
    "name": "<string>",
    "value": "<string>",
    "description": "<string>"
  },
  "llm_extra_headers": {},
  "expected_output": "",
  "agno_settings": {
    "session_storage": true,
    "learning": false,
    "agent_memories": false,
    "agentic_culture": false,
    "user_memories": false,
    "agentic_memory": false,
    "session_summaries": false,
    "num_history_runs": 50,
    "max_tool_calls_from_history": 0,
    "tool_call_limit": 0,
    "coordinate_mode": true,
    "pii_detection_enabled": false,
    "pii_detection_mask": true,
    "prompt_injection_detection_enabled": false,
    "openai_moderation_enabled": false,
    "reasoning_tools_enabled": true,
    "max_plan_retries": 15
  },
  "on_prem_event_streaming": true,
  "is_supervised": false,
  "orchestration_nodes": [],
  "notification_settings": {},
  "task_level_strategies": {
    "retry_strategy": {
      "enabled": false,
      "max_retries": 3
    },
    "iterative_strategy": {
      "enabled": false,
      "max_iterations": 3,
      "end_condition": {
        "term": "<string>",
        "group_id": "<string>",
        "path": "<string>",
        "value": null
      }
    },
    "stop_strategy": {
      "enabled": false,
      "stop_on_failure": true,
      "stop_on_condition": {
        "term": "<string>",
        "group_id": "<string>",
        "path": "<string>",
        "value": null
      }
    },
    "max_runs_per_day": 123,
    "agentic_context_enabled": false,
    "duplication_prevention": {
      "selectors": [
        "<string>"
      ],
      "enabled": false,
      "ttl_minutes": 10
    },
    "slackbot_formatting_instructions": "<string>",
    "budget": {
      "agent_budgets": [],
      "task_budget": {
        "amount_usd": 123,
        "stop_mode": "finish_inflight",
        "thresholds": [],
        "notify": {
          "channels": {},
          "max_notifications_per_period": 3
        }
      }
    }
  },
  "use_oidc_pre_auth": false,
  "pre_auth_audiences": [],
  "use_oidc_pre_auth_token_for_llm": false,
  "oidc_pre_auth_token_llm_audience": "<string>",
  "oidc_pre_auth_token_mcp_audience": "<string>",
  "can_self_schedule": false,
  "max_self_schedules": 3,
  "use_dynamic_tools": false,
  "workspace_tools_enabled": true,
  "is_autonomous": false,
  "discoverable": true,
  "with_auto_context_management": true,
  "developer_access": true,
  "should_stage_before_publish": true
}

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