curl --request POST \
  --url https://my.orq.ai/v3/experiments/{experiment_id}/runs/{run_id}/annotations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "annotation_id": "<string>",
  "display_name": "<string>",
  "annotation_type": "<string>",
  "position": 123
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    annotation_id: '<string>',
    display_name: '<string>',
    annotation_type: '<string>',
    position: 123
  })
};

fetch('https://my.orq.ai/v3/experiments/{experiment_id}/runs/{run_id}/annotations', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://my.orq.ai/v3/experiments/{experiment_id}/runs/{run_id}/annotations"

payload = {
    "annotation_id": "<string>",
    "display_name": "<string>",
    "annotation_type": "<string>",
    "position": 123
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

{
  "column_id": "<string>",
  "key": "<string>",
  "display_name": "<string>",
  "position": 123,
  "active": true,
  "prompt": {
    "prompt_config": {},
    "messages_source": "MESSAGES_SOURCE_UNSPECIFIED",
    "engine": "<string>",
    "tools": [
      {}
    ],
    "knowledge_bases": [
      {}
    ],
    "metadata": {}
  },
  "agent": {
    "agent_key": "<string>",
    "messages_source": "MESSAGES_SOURCE_UNSPECIFIED",
    "messages": [
      {}
    ],
    "engine": "<string>",
    "parent_id": "<string>",
    "agent_tag": "<string>"
  },
  "openresponse": {},
  "evaluator": {
    "evaluator_id": "<string>",
    "evaluator_name": "<string>",
    "evaluator_type": "<string>",
    "evaluator_output_type": "<string>"
  },
  "annotation": {
    "annotation_id": "<string>",
    "annotation_name": "<string>",
    "annotation_type": "<string>"
  },
  "dataset": {
    "column_type": "<string>"
  },
  "metric": {
    "metric_key": "<string>"
  },
  "job_output": {
    "job_name": "<string>"
  },
  "width": 123
}

{
  "message": "<string>",
  "code": 123,
  "details": [
    "<unknown>"
  ]
}