curl --request POST \
  --url https://api.quiva.ai/hub/agent \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "config": {
    "id": "EMAIL_DRAFT",
    "name": "Email Draft",
    "description": "Draft a reply to my email",
    "behaviour": "Draft a concise reply to the email.",
    "llm_provider": "claude",
    "model": "claude-haiku-4-5",
    "has_tools": false,
    "shared": "private"
  }
}
'

import requests

url = "https://api.quiva.ai/hub/agent"

payload = { "config": {
        "id": "EMAIL_DRAFT",
        "name": "Email Draft",
        "description": "Draft a reply to my email",
        "behaviour": "Draft a concise reply to the email.",
        "llm_provider": "claude",
        "model": "claude-haiku-4-5",
        "has_tools": False,
        "shared": "private"
    } }
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({
    config: {
      id: 'EMAIL_DRAFT',
      name: 'Email Draft',
      description: 'Draft a reply to my email',
      behaviour: 'Draft a concise reply to the email.',
      llm_provider: 'claude',
      model: 'claude-haiku-4-5',
      has_tools: false,
      shared: 'private'
    }
  })
};

fetch('https://api.quiva.ai/hub/agent', 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.quiva.ai/hub/agent",
  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([
    'config' => [
        'id' => 'EMAIL_DRAFT',
        'name' => 'Email Draft',
        'description' => 'Draft a reply to my email',
        'behaviour' => 'Draft a concise reply to the email.',
        'llm_provider' => 'claude',
        'model' => 'claude-haiku-4-5',
        'has_tools' => false,
        'shared' => 'private'
    ]
  ]),
  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.quiva.ai/hub/agent"

	payload := strings.NewReader("{\n  \"config\": {\n    \"id\": \"EMAIL_DRAFT\",\n    \"name\": \"Email Draft\",\n    \"description\": \"Draft a reply to my email\",\n    \"behaviour\": \"Draft a concise reply to the email.\",\n    \"llm_provider\": \"claude\",\n    \"model\": \"claude-haiku-4-5\",\n    \"has_tools\": false,\n    \"shared\": \"private\"\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://api.quiva.ai/hub/agent")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"config\": {\n    \"id\": \"EMAIL_DRAFT\",\n    \"name\": \"Email Draft\",\n    \"description\": \"Draft a reply to my email\",\n    \"behaviour\": \"Draft a concise reply to the email.\",\n    \"llm_provider\": \"claude\",\n    \"model\": \"claude-haiku-4-5\",\n    \"has_tools\": false,\n    \"shared\": \"private\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.quiva.ai/hub/agent")

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  \"config\": {\n    \"id\": \"EMAIL_DRAFT\",\n    \"name\": \"Email Draft\",\n    \"description\": \"Draft a reply to my email\",\n    \"behaviour\": \"Draft a concise reply to the email.\",\n    \"llm_provider\": \"claude\",\n    \"model\": \"claude-haiku-4-5\",\n    \"has_tools\": false,\n    \"shared\": \"private\"\n  }\n}"

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

{
  "subject": "<string>",
  "config": {
    "name": "Helper Agent",
    "behaviour": "You are a data analysis expert",
    "llm_provider": "claude",
    "model": "claude-haiku-4-5",
    "id": "EMAIL_DRAFT",
    "description": "Analyzes data patterns",
    "agent_type": "",
    "api_key": "CLAUDE_API_KEY",
    "output_schema": {},
    "has_tools": false,
    "knowledge": [
      "<string>"
    ],
    "tools": [
      "<string>"
    ],
    "tool_definitions": [
      {
        "uri": "mcp://local/file_read",
        "name": "file_read",
        "description": "Reads content from a file",
        "schema": {}
      }
    ],
    "timeout": 60000,
    "context_limit": 200000,
    "message_history_limit": 2000,
    "smart_context": false,
    "ai_smart_context": false,
    "ai_summary_threshold": 0.7,
    "ai_summary_model": "claude-haiku-4-5",
    "preserve_most_recent": 5,
    "ai_prompt": false,
    "instructions": [
      "<string>"
    ],
    "context_variables": {},
    "mcp_base_urls": {},
    "auth": {},
    "llm_config": {
      "temperature": 1,
      "max_tokens": 2,
      "max_turns": 2
    },
    "agent_settings": {
      "memory": {
        "enabled": false,
        "marker_types": [
          "error"
        ],
        "query_enabled": true,
        "max_memory_entries": 100,
        "similarity_threshold": 0.7
      },
      "smart_context_advanced": {
        "token_limit_auto_adjust": true,
        "complexity_detection": true,
        "complexity_detection_method": "keyword",
        "message_summarization": true,
        "ephemeral_streams": false,
        "min_messages_for_summary": 3
      },
      "verification": {
        "enabled": false,
        "consensus_runs": 3,
        "consensus_threshold": 0.66,
        "verifier_agent": "<string>"
      },
      "human_in_the_loop": {
        "enabled": false,
        "auto_escalate_on_error": false,
        "checkpoints": [
          "pre_tool_call"
        ],
        "escalation_threshold": {
          "error_count": 3,
          "confidence_score": 0.5,
          "turn_count": 10
        }
      },
      "branching": {
        "enabled": false,
        "auto_checkpoint": true,
        "checkpoint_interval": 5,
        "max_branches": 3
      },
      "observability": {
        "debug_mode": false,
        "capture_thinking": true,
        "capture_tool_calls": true,
        "metrics_enabled": true,
        "tracing_enabled": true,
        "log_level": "info"
      },
      "knowledge_advanced": {
        "semantic_indexing": true,
        "image_detail_level": "low",
        "adaptive_image_resolution": true,
        "bucket_semantic_search": true,
        "section_based_retrieval": true,
        "max_retrieval_tokens": 10000
      }
    },
    "allowed_agents": [
      {
        "subject": "<string>",
        "description": "<string>"
      }
    ],
    "invocation_depth": 0,
    "agent_template_subject": "<string>",
    "appearance": {
      "avatar": true,
      "avatar_bg_size": "<string>",
      "color": "<string>",
      "fit_avatar": true
    },
    "api_key_source": "personal",
    "shared": "private"
  },
  "modified": 123
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}