curl --request POST \
  --url https://api.calibrate.artpark.ai/annotation-tasks/{task_uuid}/items \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "items": [
    {
      "payload": {
        "name": "clip-001",
        "predicted_transcript": "the quick brown fax",
        "reference_transcript": "the quick brown fox"
      },
      "metadata": [
        {
          "key": "<string>",
          "value": "<string>"
        }
      ],
      "annotations": {
        "f47ac10b-58cc-4372-a567-0e02b2c3d479": {
          "reasoning": "meets the bar",
          "value": true
        }
      },
      "evaluator_results": {
        "f47ac10b-58cc-4372-a567-0e02b2c3d479": {
          "reasoning": "meets the bar",
          "value": true,
          "version_number": 2
        }
      }
    }
  ]
}
'

import requests

url = "https://api.calibrate.artpark.ai/annotation-tasks/{task_uuid}/items"

payload = { "items": [
        {
            "payload": {
                "name": "clip-001",
                "predicted_transcript": "the quick brown fax",
                "reference_transcript": "the quick brown fox"
            },
            "metadata": [
                {
                    "key": "<string>",
                    "value": "<string>"
                }
            ],
            "annotations": { "f47ac10b-58cc-4372-a567-0e02b2c3d479": {
                    "reasoning": "meets the bar",
                    "value": True
                } },
            "evaluator_results": { "f47ac10b-58cc-4372-a567-0e02b2c3d479": {
                    "reasoning": "meets the bar",
                    "value": True,
                    "version_number": 2
                } }
        }
    ] }
headers = {
    "X-API-Key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

{
  "item_ids": [
    "f47ac10b-58cc-4372-a567-0e02b2c3d479"
  ],
  "count": 123,
  "new_item_ids": [
    "<string>"
  ],
  "existing_item_ids": [
    "<string>"
  ],
  "annotation_job_id": "<string>",
  "evaluator_result_count": 123,
  "evaluator_run_job_id": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}