import os
from scale_gp import SGPClient

client = SGPClient(
    api_key=os.environ.get("SGP_API_KEY"),  # This is the default and can be omitted
)
fine_tuning_job = client.fine_tuning_jobs.create(
    account_id="account_id",
    training_dataset_id="training_dataset_id",
)
print(fine_tuning_job.id)

package main

import (
	"context"
	"fmt"

	"github.com/stainless-sdks/sgp-go"
	"github.com/stainless-sdks/sgp-go/option"
)

func main() {
	client := sgp.NewClient(
		option.WithAPIKey("My API Key"),
	)
	fineTuningJob, err := client.FineTuningJobs.New(context.TODO(), sgp.FineTuningJobNewParams{
		AccountID:         sgp.F("account_id"),
		TrainingDatasetID: sgp.F("training_dataset_id"),
	})
	if err != nil {
		panic(err.Error())
	}
	fmt.Printf("%+v\n", fineTuningJob.ID)
}

curl --request POST \
  --url https://api.egp.scale.com/v4/fine-tuning-jobs \
  --header 'Content-Type: application/json' \
  --data '
{
  "training_dataset_id": "<string>",
  "account_id": "<string>",
  "base_model_id": "<string>",
  "vendor_configuration": {
    "vendor": "LAUNCH",
    "hyperparameters": {},
    "wandb_config": {},
    "suffix": "<string>",
    "output": "<string>"
  },
  "fine_tuned_model_id": "<string>",
  "validation_dataset_id": "<string>"
}
'

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    training_dataset_id: '<string>',
    account_id: '<string>',
    base_model_id: '<string>',
    vendor_configuration: {
      vendor: 'LAUNCH',
      hyperparameters: {},
      wandb_config: {},
      suffix: '<string>',
      output: '<string>'
    },
    fine_tuned_model_id: '<string>',
    validation_dataset_id: '<string>'
  })
};

fetch('https://api.egp.scale.com/v4/fine-tuning-jobs', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.egp.scale.com/v4/fine-tuning-jobs",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'training_dataset_id' => '<string>',
    'account_id' => '<string>',
    'base_model_id' => '<string>',
    'vendor_configuration' => [
        'vendor' => 'LAUNCH',
        'hyperparameters' => [
                
        ],
        'wandb_config' => [
                
        ],
        'suffix' => '<string>',
        'output' => '<string>'
    ],
    'fine_tuned_model_id' => '<string>',
    'validation_dataset_id' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

HttpResponse<String> response = Unirest.post("https://api.egp.scale.com/v4/fine-tuning-jobs")
  .header("Content-Type", "application/json")
  .body("{\n  \"training_dataset_id\": \"<string>\",\n  \"account_id\": \"<string>\",\n  \"base_model_id\": \"<string>\",\n  \"vendor_configuration\": {\n    \"vendor\": \"LAUNCH\",\n    \"hyperparameters\": {},\n    \"wandb_config\": {},\n    \"suffix\": \"<string>\",\n    \"output\": \"<string>\"\n  },\n  \"fine_tuned_model_id\": \"<string>\",\n  \"validation_dataset_id\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.egp.scale.com/v4/fine-tuning-jobs")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"training_dataset_id\": \"<string>\",\n  \"account_id\": \"<string>\",\n  \"base_model_id\": \"<string>\",\n  \"vendor_configuration\": {\n    \"vendor\": \"LAUNCH\",\n    \"hyperparameters\": {},\n    \"wandb_config\": {},\n    \"suffix\": \"<string>\",\n    \"output\": \"<string>\"\n  },\n  \"fine_tuned_model_id\": \"<string>\",\n  \"validation_dataset_id\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "training_dataset_id": "<string>",
  "id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "account_id": "<string>",
  "created_by_user_id": "<string>",
  "base_model_id": "<string>",
  "vendor_configuration": {
    "vendor": "LAUNCH",
    "hyperparameters": {},
    "wandb_config": {},
    "suffix": "<string>",
    "output": "<string>"
  },
  "fine_tuned_model_id": "<string>",
  "validation_dataset_id": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}