curl --request POST \
  --url https://distillation.training.wandb.ai/v1/tasks/{alias}/finetunes \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "dataset_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "model_name": "<string>",
  "base_model": "<string>",
  "relabel_run_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "default_temperature": 0,
  "model_config": {
    "max_examples": 123,
    "config": {
      "batch_size": "auto",
      "epochs": 123,
      "learning_rate": 1,
      "metric_logging": {}
    },
    "experimental_config": {}
  }
}
'

import requests

url = "https://distillation.training.wandb.ai/v1/tasks/{alias}/finetunes"

payload = {
    "dataset_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "model_name": "<string>",
    "base_model": "<string>",
    "relabel_run_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "default_temperature": 0,
    "model_config": {
        "max_examples": 123,
        "config": {
            "batch_size": "auto",
            "epochs": 123,
            "learning_rate": 1,
            "metric_logging": {}
        },
        "experimental_config": {}
    }
}
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({
    dataset_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    model_name: '<string>',
    base_model: '<string>',
    relabel_run_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    default_temperature: 0,
    model_config: {
      max_examples: 123,
      config: {batch_size: 'auto', epochs: 123, learning_rate: 1, metric_logging: {}},
      experimental_config: {}
    }
  })
};

fetch('https://distillation.training.wandb.ai/v1/tasks/{alias}/finetunes', 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://distillation.training.wandb.ai/v1/tasks/{alias}/finetunes",
  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([
    'dataset_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'model_name' => '<string>',
    'base_model' => '<string>',
    'relabel_run_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'default_temperature' => 0,
    'model_config' => [
        'max_examples' => 123,
        'config' => [
                'batch_size' => 'auto',
                'epochs' => 123,
                'learning_rate' => 1,
                'metric_logging' => [
                                
                ]
        ],
        'experimental_config' => [
                
        ]
    ]
  ]),
  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://distillation.training.wandb.ai/v1/tasks/{alias}/finetunes"

	payload := strings.NewReader("{\n  \"dataset_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"model_name\": \"<string>\",\n  \"base_model\": \"<string>\",\n  \"relabel_run_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"default_temperature\": 0,\n  \"model_config\": {\n    \"max_examples\": 123,\n    \"config\": {\n      \"batch_size\": \"auto\",\n      \"epochs\": 123,\n      \"learning_rate\": 1,\n      \"metric_logging\": {}\n    },\n    \"experimental_config\": {}\n  }\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://distillation.training.wandb.ai/v1/tasks/{alias}/finetunes")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"dataset_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"model_name\": \"<string>\",\n  \"base_model\": \"<string>\",\n  \"relabel_run_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"default_temperature\": 0,\n  \"model_config\": {\n    \"max_examples\": 123,\n    \"config\": {\n      \"batch_size\": \"auto\",\n      \"epochs\": 123,\n      \"learning_rate\": 1,\n      \"metric_logging\": {}\n    },\n    \"experimental_config\": {}\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://distillation.training.wandb.ai/v1/tasks/{alias}/finetunes")

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  \"dataset_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"model_name\": \"<string>\",\n  \"base_model\": \"<string>\",\n  \"relabel_run_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"default_temperature\": 0,\n  \"model_config\": {\n    \"max_examples\": 123,\n    \"config\": {\n      \"batch_size\": \"auto\",\n      \"epochs\": 123,\n      \"learning_rate\": 1,\n      \"metric_logging\": {}\n    },\n    \"experimental_config\": {}\n  }\n}"

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

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "task_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "dataset_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "model_name": "<string>",
  "base_model": "<string>",
  "default_temperature": 0,
  "status": "queued",
  "training_progress": 50,
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "training_failure_type": "<string>",
  "relabel_run_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "model_config": {
    "max_examples": 2,
    "config": {
      "batch_size": "auto",
      "learning_rate": 1,
      "assistant_turns": "all",
      "metric_logging": {}
    },
    "experimental_config": {}
  },
  "dataset_artifact_ref": "<string>",
  "model_artifact_ref": "<string>",
  "input_usd_per_mtok": 123,
  "output_usd_per_mtok": 123
}

{
  "error": {
    "message": "Task 'missing' not found in entity 'your-team'",
    "type": "not_found"
  }
}