curl --request GET \
  --url https://api.aireserve.com/v1/training/jobs/{jobId} \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://api.aireserve.com/v1/training/jobs/{jobId}"

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

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

print(response.text)

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

fetch('https://api.aireserve.com/v1/training/jobs/{jobId}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "name": "<string>",
  "datasetId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "baseModel": "<string>",
  "method": "lora",
  "serving": "serverless",
  "hyperparameters": {
    "epochs": 3,
    "learningRate": 0.0001,
    "batchSize": 16,
    "maxSeqLen": 4096,
    "loraRank": 64
  },
  "maxCostUsd": "<string>",
  "state": "pending",
  "backend": "<string>",
  "estimatedCostUsd": "<string>",
  "estimatedMinutes": 123,
  "actualCostUsd": "<string>",
  "trainedTokens": 123,
  "chargeState": "none",
  "modelId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "error": "<string>",
  "createdAt": "<string>",
  "startedAt": "<string>",
  "completedAt": "<string>"
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": null,
    "code": "<string>",
    "details": {}
  }
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": null,
    "code": "<string>",
    "details": {}
  }
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": null,
    "code": "<string>",
    "details": {}
  }
}

{
  "error": {
    "message": "<string>",
    "type": "invalid_request_error",
    "param": null,
    "code": "<string>",
    "details": {}
  }
}