curl --request POST \
  --url https://my.orq.ai/v2/monitors \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "display_name": "<string>",
  "description": "<string>",
  "project_id": "<string>",
  "widgets": [
    {
      "widget_id": "<string>",
      "title": "<string>",
      "queries": [
        {
          "metric": "<string>",
          "operation": "<string>",
          "group_by": [
            "<string>"
          ],
          "filters": [
            {
              "field": "<string>",
              "values": [
                "<string>"
              ]
            }
          ],
          "limit": 123
        }
      ],
      "layout": {
        "x": 123,
        "y": 123,
        "w": 123,
        "h": 123
      },
      "display": {
        "show_overall": true,
        "target": 123,
        "decimals": 123,
        "show_others": true,
        "show_percentages": true
      }
    }
  ],
  "default_range": "<string>"
}
'

import { Orq } from '@orq-ai/node';
const orq = new Orq({ apiKey: process.env.ORQ_API_KEY });
await orq.monitors.create({ displayName: 'LLM cost', projectId: 'proj_01J81V5RZPVTDHXBV6M2YVJHRB', defaultRange: '7d', widgets: [{ widgetId: 'cost', type: 'timeseries', title: 'Cost by model', queries: [{ metric: 'genai.cost', groupBy: ['model'] }], layout: { x: 0, y: 0, w: 12, h: 4 } }] });

import requests

url = "https://my.orq.ai/v2/monitors"

payload = {
    "display_name": "<string>",
    "description": "<string>",
    "project_id": "<string>",
    "widgets": [
        {
            "widget_id": "<string>",
            "title": "<string>",
            "queries": [
                {
                    "metric": "<string>",
                    "operation": "<string>",
                    "group_by": ["<string>"],
                    "filters": [
                        {
                            "field": "<string>",
                            "values": ["<string>"]
                        }
                    ],
                    "limit": 123
                }
            ],
            "layout": {
                "x": 123,
                "y": 123,
                "w": 123,
                "h": 123
            },
            "display": {
                "show_overall": True,
                "target": 123,
                "decimals": 123,
                "show_others": True,
                "show_percentages": True
            }
        }
    ],
    "default_range": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

{
  "monitor": {
    "monitor_id": "<string>",
    "display_name": "<string>",
    "description": "<string>",
    "project_id": "<string>",
    "widgets": [
      {
        "widget_id": "<string>",
        "type": "timeseries",
        "title": "<string>",
        "queries": [
          {
            "metric": "<string>",
            "source": "MONITOR_TELEMETRY_SOURCE_UNSPECIFIED",
            "operation": "<string>",
            "group_by": [
              "<string>"
            ],
            "filters": [
              {
                "field": "<string>",
                "op": "eq",
                "values": [
                  "<string>"
                ]
              }
            ],
            "grain": "auto",
            "limit": 123
          }
        ],
        "layout": {
          "x": 123,
          "y": 123,
          "w": 123,
          "h": 123
        },
        "display": {
          "visualization": "lines",
          "unit": "count",
          "sort": "desc",
          "show_overall": true,
          "target": 123,
          "decimals": 123,
          "show_others": true,
          "show_percentages": true
        }
      }
    ],
    "preset_key": "<string>",
    "created_at": "2023-11-07T05:31:56Z",
    "updated_at": "2023-11-07T05:31:56Z",
    "created_by_id": "<string>",
    "updated_by_id": "<string>",
    "default_range": "5m"
  }
}