List model evaluations for a dataset

curl --request GET \
  --url https://console.sqwish.ai/v1/evaluations \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://console.sqwish.ai/v1/evaluations"

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

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

print(response.text)

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

fetch('https://console.sqwish.ai/v1/evaluations', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "data": [
    {
      "id": "<string>",
      "dataset_id": "<string>",
      "model_id": "<string>",
      "model_sha256": "<string>",
      "model_label": "<string>",
      "model_name": "<string>",
      "version": 123,
      "status": "queued",
      "created_at": 123,
      "updated_at": 123,
      "generation": 123,
      "training_job_id": "<string>",
      "dataset_sha256": "<string>",
      "evaluation_sha256": "<string>",
      "method": "sft",
      "evaluation_rows": 123,
      "decisions": 123,
      "completed_rows": 123,
      "metrics": {},
      "error": {}
    }
  ],
  "has_more": true,
  "next_cursor": "<string>"
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "retryable": true,
    "request_id": "<string>",
    "details": [
      {
        "path": [
          "<string>"
        ],
        "message": "<string>",
        "type": "<string>"
      }
    ]
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "retryable": true,
    "request_id": "<string>",
    "details": [
      {
        "path": [
          "<string>"
        ],
        "message": "<string>",
        "type": "<string>"
      }
    ]
  }
}