curl --request POST \
  --url https://api.openpipe.ai/api/v1/models \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "datasetId": "<string>",
  "slug": "<string>",
  "trainingConfig": {
    "provider": "openpipe",
    "baseModel": "<string>",
    "enable_sft": true,
    "enable_preference_tuning": false,
    "sft_hyperparameters": {},
    "preference_hyperparameters": {},
    "hyperparameters": {
      "is_sft_enabled": true,
      "batch_size": "auto",
      "learning_rate_multiplier": 123,
      "num_epochs": 123,
      "is_preference_tuning_enabled": true,
      "preference_tuning_variant": "DPO",
      "preference_tuning_learning_rate_multiplier": 123,
      "preference_tuning_num_epochs": 123,
      "preference_tuning_training_beta": 123,
      "preference_tuning_adapter_weight": 123
    }
  },
  "pruningRuleIds": [],
  "defaultTemperature": 123
}
'

import requests

url = "https://api.openpipe.ai/api/v1/models"

payload = {
    "datasetId": "<string>",
    "slug": "<string>",
    "trainingConfig": {
        "provider": "openpipe",
        "baseModel": "<string>",
        "enable_sft": True,
        "enable_preference_tuning": False,
        "sft_hyperparameters": {},
        "preference_hyperparameters": {},
        "hyperparameters": {
            "is_sft_enabled": True,
            "batch_size": "auto",
            "learning_rate_multiplier": 123,
            "num_epochs": 123,
            "is_preference_tuning_enabled": True,
            "preference_tuning_variant": "DPO",
            "preference_tuning_learning_rate_multiplier": 123,
            "preference_tuning_num_epochs": 123,
            "preference_tuning_training_beta": 123,
            "preference_tuning_adapter_weight": 123
        }
    },
    "pruningRuleIds": [],
    "defaultTemperature": 123
}
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({
    datasetId: '<string>',
    slug: '<string>',
    trainingConfig: {
      provider: 'openpipe',
      baseModel: '<string>',
      enable_sft: true,
      enable_preference_tuning: false,
      sft_hyperparameters: {},
      preference_hyperparameters: {},
      hyperparameters: {
        is_sft_enabled: true,
        batch_size: 'auto',
        learning_rate_multiplier: 123,
        num_epochs: 123,
        is_preference_tuning_enabled: true,
        preference_tuning_variant: 'DPO',
        preference_tuning_learning_rate_multiplier: 123,
        preference_tuning_num_epochs: 123,
        preference_tuning_training_beta: 123,
        preference_tuning_adapter_weight: 123
      }
    },
    pruningRuleIds: [],
    defaultTemperature: 123
  })
};

fetch('https://api.openpipe.ai/api/v1/models', 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.openpipe.ai/api/v1/models",
  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([
    'datasetId' => '<string>',
    'slug' => '<string>',
    'trainingConfig' => [
        'provider' => 'openpipe',
        'baseModel' => '<string>',
        'enable_sft' => true,
        'enable_preference_tuning' => false,
        'sft_hyperparameters' => [
                
        ],
        'preference_hyperparameters' => [
                
        ],
        'hyperparameters' => [
                'is_sft_enabled' => true,
                'batch_size' => 'auto',
                'learning_rate_multiplier' => 123,
                'num_epochs' => 123,
                'is_preference_tuning_enabled' => true,
                'preference_tuning_variant' => 'DPO',
                'preference_tuning_learning_rate_multiplier' => 123,
                'preference_tuning_num_epochs' => 123,
                'preference_tuning_training_beta' => 123,
                'preference_tuning_adapter_weight' => 123
        ]
    ],
    'pruningRuleIds' => [
        
    ],
    'defaultTemperature' => 123
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

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

curl_close($curl);

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

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.openpipe.ai/api/v1/models"

	payload := strings.NewReader("{\n  \"datasetId\": \"<string>\",\n  \"slug\": \"<string>\",\n  \"trainingConfig\": {\n    \"provider\": \"openpipe\",\n    \"baseModel\": \"<string>\",\n    \"enable_sft\": true,\n    \"enable_preference_tuning\": false,\n    \"sft_hyperparameters\": {},\n    \"preference_hyperparameters\": {},\n    \"hyperparameters\": {\n      \"is_sft_enabled\": true,\n      \"batch_size\": \"auto\",\n      \"learning_rate_multiplier\": 123,\n      \"num_epochs\": 123,\n      \"is_preference_tuning_enabled\": true,\n      \"preference_tuning_variant\": \"DPO\",\n      \"preference_tuning_learning_rate_multiplier\": 123,\n      \"preference_tuning_num_epochs\": 123,\n      \"preference_tuning_training_beta\": 123,\n      \"preference_tuning_adapter_weight\": 123\n    }\n  },\n  \"pruningRuleIds\": [],\n  \"defaultTemperature\": 123\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.openpipe.ai/api/v1/models")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"datasetId\": \"<string>\",\n  \"slug\": \"<string>\",\n  \"trainingConfig\": {\n    \"provider\": \"openpipe\",\n    \"baseModel\": \"<string>\",\n    \"enable_sft\": true,\n    \"enable_preference_tuning\": false,\n    \"sft_hyperparameters\": {},\n    \"preference_hyperparameters\": {},\n    \"hyperparameters\": {\n      \"is_sft_enabled\": true,\n      \"batch_size\": \"auto\",\n      \"learning_rate_multiplier\": 123,\n      \"num_epochs\": 123,\n      \"is_preference_tuning_enabled\": true,\n      \"preference_tuning_variant\": \"DPO\",\n      \"preference_tuning_learning_rate_multiplier\": 123,\n      \"preference_tuning_num_epochs\": 123,\n      \"preference_tuning_training_beta\": 123,\n      \"preference_tuning_adapter_weight\": 123\n    }\n  },\n  \"pruningRuleIds\": [],\n  \"defaultTemperature\": 123\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.openpipe.ai/api/v1/models")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"datasetId\": \"<string>\",\n  \"slug\": \"<string>\",\n  \"trainingConfig\": {\n    \"provider\": \"openpipe\",\n    \"baseModel\": \"<string>\",\n    \"enable_sft\": true,\n    \"enable_preference_tuning\": false,\n    \"sft_hyperparameters\": {},\n    \"preference_hyperparameters\": {},\n    \"hyperparameters\": {\n      \"is_sft_enabled\": true,\n      \"batch_size\": \"auto\",\n      \"learning_rate_multiplier\": 123,\n      \"num_epochs\": 123,\n      \"is_preference_tuning_enabled\": true,\n      \"preference_tuning_variant\": \"DPO\",\n      \"preference_tuning_learning_rate_multiplier\": 123,\n      \"preference_tuning_num_epochs\": 123,\n      \"preference_tuning_training_beta\": 123,\n      \"preference_tuning_adapter_weight\": 123\n    }\n  },\n  \"pruningRuleIds\": [],\n  \"defaultTemperature\": 123\n}"

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

{
  "id": "<string>",
  "name": "<string>",
  "object": "model",
  "description": "<string>",
  "created": "<string>",
  "updated": "<string>",
  "openpipe": {
    "baseModel": "<string>",
    "hyperparameters": {},
    "datasetId": "<string>",
    "errorMessage": "<string>"
  },
  "contextWindow": 123,
  "maxCompletionTokens": 123,
  "capabilities": [],
  "pricing": {
    "chatIn": 123,
    "chatOut": 123
  },
  "owned_by": "<string>"
}

{
  "message": "<string>",
  "code": "<string>",
  "issues": [
    {
      "message": "<string>"
    }
  ]
}