curl --request PUT \
  --url https://api.quiva.ai/hub/agent/{id} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "config": {
    "name": "Helper Agent",
    "behaviour": "You are a data analysis expert",
    "model": "claude-haiku-4-5",
    "id": "EMAIL_DRAFT",
    "description": "Analyzes data patterns",
    "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": [],
        "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": [],
        "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
    },
    "shared": "private"
  },
  "subject": "<string>"
}
'

import requests

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

payload = {
    "config": {
        "name": "Helper Agent",
        "behaviour": "You are a data analysis expert",
        "model": "claude-haiku-4-5",
        "id": "EMAIL_DRAFT",
        "description": "Analyzes data patterns",
        "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": [],
                "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": [],
                "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
        },
        "shared": "private"
    },
    "subject": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'PUT',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    config: {
      name: 'Helper Agent',
      behaviour: 'You are a data analysis expert',
      model: 'claude-haiku-4-5',
      id: 'EMAIL_DRAFT',
      description: 'Analyzes data patterns',
      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: [],
          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: [],
          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},
      shared: 'private'
    },
    subject: '<string>'
  })
};

fetch('https://api.quiva.ai/hub/agent/{id}', 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/{id}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PUT",
  CURLOPT_POSTFIELDS => json_encode([
    'config' => [
        'name' => 'Helper Agent',
        'behaviour' => 'You are a data analysis expert',
        'model' => 'claude-haiku-4-5',
        'id' => 'EMAIL_DRAFT',
        'description' => 'Analyzes data patterns',
        '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' => [
                                                                
                                ],
                                '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' => [
                                                                
                                ],
                                '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
        ],
        'shared' => 'private'
    ],
    'subject' => '<string>'
  ]),
  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/{id}"

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

	req, _ := http.NewRequest("PUT", 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.put("https://api.quiva.ai/hub/agent/{id}")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"config\": {\n    \"name\": \"Helper Agent\",\n    \"behaviour\": \"You are a data analysis expert\",\n    \"model\": \"claude-haiku-4-5\",\n    \"id\": \"EMAIL_DRAFT\",\n    \"description\": \"Analyzes data patterns\",\n    \"api_key\": \"CLAUDE_API_KEY\",\n    \"output_schema\": {},\n    \"has_tools\": false,\n    \"knowledge\": [\n      \"<string>\"\n    ],\n    \"tools\": [\n      \"<string>\"\n    ],\n    \"tool_definitions\": [\n      {\n        \"uri\": \"mcp://local/file_read\",\n        \"name\": \"file_read\",\n        \"description\": \"Reads content from a file\",\n        \"schema\": {}\n      }\n    ],\n    \"timeout\": 60000,\n    \"context_limit\": 200000,\n    \"message_history_limit\": 2000,\n    \"smart_context\": false,\n    \"ai_smart_context\": false,\n    \"ai_summary_threshold\": 0.7,\n    \"ai_summary_model\": \"claude-haiku-4-5\",\n    \"preserve_most_recent\": 5,\n    \"ai_prompt\": false,\n    \"instructions\": [\n      \"<string>\"\n    ],\n    \"context_variables\": {},\n    \"mcp_base_urls\": {},\n    \"auth\": {},\n    \"llm_config\": {\n      \"temperature\": 1,\n      \"max_tokens\": 2,\n      \"max_turns\": 2\n    },\n    \"agent_settings\": {\n      \"memory\": {\n        \"enabled\": false,\n        \"marker_types\": [],\n        \"query_enabled\": true,\n        \"max_memory_entries\": 100,\n        \"similarity_threshold\": 0.7\n      },\n      \"smart_context_advanced\": {\n        \"token_limit_auto_adjust\": true,\n        \"complexity_detection\": true,\n        \"complexity_detection_method\": \"keyword\",\n        \"message_summarization\": true,\n        \"ephemeral_streams\": false,\n        \"min_messages_for_summary\": 3\n      },\n      \"verification\": {\n        \"enabled\": false,\n        \"consensus_runs\": 3,\n        \"consensus_threshold\": 0.66,\n        \"verifier_agent\": \"<string>\"\n      },\n      \"human_in_the_loop\": {\n        \"enabled\": false,\n        \"auto_escalate_on_error\": false,\n        \"checkpoints\": [],\n        \"escalation_threshold\": {\n          \"error_count\": 3,\n          \"confidence_score\": 0.5,\n          \"turn_count\": 10\n        }\n      },\n      \"branching\": {\n        \"enabled\": false,\n        \"auto_checkpoint\": true,\n        \"checkpoint_interval\": 5,\n        \"max_branches\": 3\n      },\n      \"observability\": {\n        \"debug_mode\": false,\n        \"capture_thinking\": true,\n        \"capture_tool_calls\": true,\n        \"metrics_enabled\": true,\n        \"tracing_enabled\": true,\n        \"log_level\": \"info\"\n      },\n      \"knowledge_advanced\": {\n        \"semantic_indexing\": true,\n        \"image_detail_level\": \"low\",\n        \"adaptive_image_resolution\": true,\n        \"bucket_semantic_search\": true,\n        \"section_based_retrieval\": true,\n        \"max_retrieval_tokens\": 10000\n      }\n    },\n    \"allowed_agents\": [\n      {\n        \"subject\": \"<string>\",\n        \"description\": \"<string>\"\n      }\n    ],\n    \"invocation_depth\": 0,\n    \"agent_template_subject\": \"<string>\",\n    \"appearance\": {\n      \"avatar\": true,\n      \"avatar_bg_size\": \"<string>\",\n      \"color\": \"<string>\",\n      \"fit_avatar\": true\n    },\n    \"shared\": \"private\"\n  },\n  \"subject\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

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

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

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

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

{
  "message": "success"
}

{
  "error": "invalid request body"
}

{
  "error": "agent not found:ms.hub.config.agent.<uuid>"
}