curl --request GET \
  --url https://paradigm.lighton.ai/api/v3/agents/{id} \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://paradigm.lighton.ai/api/v3/agents/{id}"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://paradigm.lighton.ai/api/v3/agents/{id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "id": 123,
  "name": "<string>",
  "description": "<string>",
  "instructions": "<string>",
  "company": {
    "id": 123,
    "name": "<string>",
    "allow_ephemeral_mode": true,
    "is_sharing_enabled": true
  },
  "group": {
    "name": "<string>",
    "id": 123
  },
  "workspaces": [
    {
      "id": 123,
      "name": "<string>",
      "category": "<string>",
      "file_count": 123,
      "summaries": []
    }
  ],
  "tools": {
    "native": [
      {
        "id": "<string>",
        "name": "<string>",
        "object": "tool"
      }
    ],
    "mcp_servers": [
      {
        "id": "<string>",
        "name": "<string>",
        "object": "mcp_server"
      }
    ]
  },
  "is_default": true,
  "ownership": "<string>",
  "scope_workspaces_by_group": true,
  "scoped_workspace_ids": [
    123
  ],
  "ml_model": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "ml_model_alias": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "is_current_user_favorite": true,
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z"
}

"<unknown>"

{
  "detail": "System is under maintenance.",
  "error": "service_maintenance",
  "mode": "full_shutdown",
  "reason": "<string>",
  "started_at": "2023-11-07T05:31:56Z",
  "endpoint_category_names": [
    "<string>"
  ]
}