curl --request PATCH 'https://my.orq.ai/v3/experiments/<experiment_id>/runs/<run_id>/columns/layout' \
  --header 'Authorization: Bearer $ORQ_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{ "columns": [{ "column_id": "<column_id>", "position": 3, "width": 320 }] }'

import { Orq } from '@orq-ai/node';

const client = new Orq({ apiKey: process.env.ORQ_API_KEY });

const run = await client.experiments.updateRunColumnLayout({
  experimentId: '<experiment_id>',
  runId: '<run_id>',
  columns: [{ columnId: '<column_id>', position: 3, width: 320 }],
});

console.log(run.columns.map((column) => column.displayName));

import os
from orq_ai_sdk import Orq

client = Orq(api_key=os.environ["ORQ_API_KEY"])

run = client.experiments.update_run_column_layout(
    experiment_id="<experiment_id>",
    run_id="<run_id>",
    columns=[{"column_id": "<column_id>", "position": 3, "width": 320}],
)

print([column.display_name for column in run.columns])

{
  "run_id": "<string>",
  "experiment_id": "<string>",
  "key": "<string>",
  "status": "RUN_STATUS_UNSPECIFIED",
  "dataset_id": "<string>",
  "row_count": 123,
  "cell_status_counts": {
    "not_run": 123,
    "queued": 123,
    "running": 123,
    "completed": 123,
    "failed": 123,
    "canceled": 123
  },
  "columns": [
    {
      "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
    }
  ],
  "settings": {
    "concurrency": 123,
    "timeout": "<string>",
    "max_turns": 123,
    "hidden_column_ids": [
      "<string>"
    ]
  },
  "started_at": "2023-11-07T05:31:56Z",
  "completed_at": "2023-11-07T05:31:56Z",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "metrics": {},
  "stats": {
    "total_cost": 123,
    "total_errors": 123,
    "total_done": 123
  },
  "created_by_id": "<string>"
}

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