curl --request GET \
  --url https://my.orq.ai/v3/experiments/{experiment_id}/runs/{run_id}/reviews \
  --header 'Authorization: Bearer <token>'

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

fetch('https://my.orq.ai/v3/experiments/{experiment_id}/runs/{run_id}/reviews', 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}/reviews"

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

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

print(response.text)

{
  "data": [
    {
      "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>"
      },
      "review": {
        "human_eval_id": "<string>",
        "human_eval_name": "<string>",
        "human_eval_type": "<string>"
      },
      "dataset": {
        "column_type": "<string>"
      },
      "metric": {
        "metric_key": "<string>"
      },
      "job_output": {
        "job_name": "<string>"
      },
      "width": 123
    }
  ]
}

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