curl --request POST \
  --url https://api.aireserve.com/v1/training/jobs/quote \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "datasetId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "baseModel": "<string>",
  "maxCostUsd": 50000,
  "hyperparameters": {
    "epochs": 3,
    "learningRate": 0.0001,
    "batchSize": 16,
    "maxSeqLen": 4096,
    "loraRank": 16
  },
  "providerParameters": {}
}
'

import requests

url = "https://api.aireserve.com/v1/training/jobs/quote"

payload = {
    "name": "<string>",
    "datasetId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "baseModel": "<string>",
    "maxCostUsd": 50000,
    "hyperparameters": {
        "epochs": 3,
        "learningRate": 0.0001,
        "batchSize": 16,
        "maxSeqLen": 4096,
        "loraRank": 16
    },
    "providerParameters": {}
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: '<string>',
    datasetId: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    baseModel: '<string>',
    maxCostUsd: 50000,
    hyperparameters: {epochs: 3, learningRate: 0.0001, batchSize: 16, maxSeqLen: 4096, loraRank: 16},
    providerParameters: {}
  })
};

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

{
  "quoteId": "<string>",
  "expiresAt": "<string>",
  "baseModel": "<string>",
  "method": "lora",
  "serving": "serverless",
  "datasetId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "estimatedTokens": 123,
  "estimatedCostUsd": "<string>",
  "estimatedMinutes": 123,
  "servingPrice": {
    "kind": "serverless",
    "usdPerMillionInputTokens": 123,
    "usdPerMillionOutputTokens": 123
  },
  "hyperparameters": {
    "epochs": 3,
    "learningRate": 0.0001,
    "batchSize": 16,
    "maxSeqLen": 4096,
    "loraRank": 64
  },
  "adjustments": [
    {
      "field": "batchSize",
      "from": 123,
      "to": 123,
      "reason": "<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": {}
  }
}

{
  "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": {}
  }
}