curl --request PUT \
  --url https://distillation.training.wandb.ai/v1/tasks/{alias}/automation \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "dataset": {
    "source": "task",
    "after": "2023-11-07T05:31:56Z",
    "before": "2023-11-07T05:31:56Z",
    "task_version": 123,
    "min_train_examples": 123,
    "relabel": {
      "model_ref": "<string>",
      "use_original_output": false
    },
    "publish_to_weave": true,
    "publish_relabel_to_weave": true
  },
  "models": [
    {
      "base_model": "<string>",
      "model_name": "<string>",
      "model_config": {
        "max_examples": 123,
        "config": {
          "batch_size": "auto",
          "learning_rate": 1,
          "metric_logging": {}
        },
        "experimental_config": {}
      }
    }
  ],
  "teacher": "<string>",
  "eval": {
    "sample_size": 123,
    "export_eval": true
  },
  "rollout": {
    "task_version": 123,
    "min_win_rate": 0.5,
    "winner_traffic": 0
  }
}
'

import requests

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

payload = {
    "dataset": {
        "source": "task",
        "after": "2023-11-07T05:31:56Z",
        "before": "2023-11-07T05:31:56Z",
        "task_version": 123,
        "min_train_examples": 123,
        "relabel": {
            "model_ref": "<string>",
            "use_original_output": False
        },
        "publish_to_weave": True,
        "publish_relabel_to_weave": True
    },
    "models": [
        {
            "base_model": "<string>",
            "model_name": "<string>",
            "model_config": {
                "max_examples": 123,
                "config": {
                    "batch_size": "auto",
                    "learning_rate": 1,
                    "metric_logging": {}
                },
                "experimental_config": {}
            }
        }
    ],
    "teacher": "<string>",
    "eval": {
        "sample_size": 123,
        "export_eval": True
    },
    "rollout": {
        "task_version": 123,
        "min_win_rate": 0.5,
        "winner_traffic": 0
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'PUT',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    dataset: {
      source: 'task',
      after: '2023-11-07T05:31:56Z',
      before: '2023-11-07T05:31:56Z',
      task_version: 123,
      min_train_examples: 123,
      relabel: {model_ref: '<string>', use_original_output: false},
      publish_to_weave: true,
      publish_relabel_to_weave: true
    },
    models: [
      {
        base_model: '<string>',
        model_name: '<string>',
        model_config: {
          max_examples: 123,
          config: {batch_size: 'auto', learning_rate: 1, metric_logging: {}},
          experimental_config: {}
        }
      }
    ],
    teacher: '<string>',
    eval: {sample_size: 123, export_eval: true},
    rollout: {task_version: 123, min_win_rate: 0.5, winner_traffic: 0}
  })
};

fetch('https://distillation.training.wandb.ai/v1/tasks/{alias}/automation', 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}/automation",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PUT",
  CURLOPT_POSTFIELDS => json_encode([
    'dataset' => [
        'source' => 'task',
        'after' => '2023-11-07T05:31:56Z',
        'before' => '2023-11-07T05:31:56Z',
        'task_version' => 123,
        'min_train_examples' => 123,
        'relabel' => [
                'model_ref' => '<string>',
                'use_original_output' => false
        ],
        'publish_to_weave' => true,
        'publish_relabel_to_weave' => true
    ],
    'models' => [
        [
                'base_model' => '<string>',
                'model_name' => '<string>',
                'model_config' => [
                                'max_examples' => 123,
                                'config' => [
                                                                'batch_size' => 'auto',
                                                                'learning_rate' => 1,
                                                                'metric_logging' => [
                                                                                                                                
                                                                ]
                                ],
                                'experimental_config' => [
                                                                
                                ]
                ]
        ]
    ],
    'teacher' => '<string>',
    'eval' => [
        'sample_size' => 123,
        'export_eval' => true
    ],
    'rollout' => [
        'task_version' => 123,
        'min_win_rate' => 0.5,
        'winner_traffic' => 0
    ]
  ]),
  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}/automation"

	payload := strings.NewReader("{\n  \"dataset\": {\n    \"source\": \"task\",\n    \"after\": \"2023-11-07T05:31:56Z\",\n    \"before\": \"2023-11-07T05:31:56Z\",\n    \"task_version\": 123,\n    \"min_train_examples\": 123,\n    \"relabel\": {\n      \"model_ref\": \"<string>\",\n      \"use_original_output\": false\n    },\n    \"publish_to_weave\": true,\n    \"publish_relabel_to_weave\": true\n  },\n  \"models\": [\n    {\n      \"base_model\": \"<string>\",\n      \"model_name\": \"<string>\",\n      \"model_config\": {\n        \"max_examples\": 123,\n        \"config\": {\n          \"batch_size\": \"auto\",\n          \"learning_rate\": 1,\n          \"metric_logging\": {}\n        },\n        \"experimental_config\": {}\n      }\n    }\n  ],\n  \"teacher\": \"<string>\",\n  \"eval\": {\n    \"sample_size\": 123,\n    \"export_eval\": true\n  },\n  \"rollout\": {\n    \"task_version\": 123,\n    \"min_win_rate\": 0.5,\n    \"winner_traffic\": 0\n  }\n}")

	req, _ := http.NewRequest("PUT", 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.put("https://distillation.training.wandb.ai/v1/tasks/{alias}/automation")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"dataset\": {\n    \"source\": \"task\",\n    \"after\": \"2023-11-07T05:31:56Z\",\n    \"before\": \"2023-11-07T05:31:56Z\",\n    \"task_version\": 123,\n    \"min_train_examples\": 123,\n    \"relabel\": {\n      \"model_ref\": \"<string>\",\n      \"use_original_output\": false\n    },\n    \"publish_to_weave\": true,\n    \"publish_relabel_to_weave\": true\n  },\n  \"models\": [\n    {\n      \"base_model\": \"<string>\",\n      \"model_name\": \"<string>\",\n      \"model_config\": {\n        \"max_examples\": 123,\n        \"config\": {\n          \"batch_size\": \"auto\",\n          \"learning_rate\": 1,\n          \"metric_logging\": {}\n        },\n        \"experimental_config\": {}\n      }\n    }\n  ],\n  \"teacher\": \"<string>\",\n  \"eval\": {\n    \"sample_size\": 123,\n    \"export_eval\": true\n  },\n  \"rollout\": {\n    \"task_version\": 123,\n    \"min_win_rate\": 0.5,\n    \"winner_traffic\": 0\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

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

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

request = Net::HTTP::Put.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"dataset\": {\n    \"source\": \"task\",\n    \"after\": \"2023-11-07T05:31:56Z\",\n    \"before\": \"2023-11-07T05:31:56Z\",\n    \"task_version\": 123,\n    \"min_train_examples\": 123,\n    \"relabel\": {\n      \"model_ref\": \"<string>\",\n      \"use_original_output\": false\n    },\n    \"publish_to_weave\": true,\n    \"publish_relabel_to_weave\": true\n  },\n  \"models\": [\n    {\n      \"base_model\": \"<string>\",\n      \"model_name\": \"<string>\",\n      \"model_config\": {\n        \"max_examples\": 123,\n        \"config\": {\n          \"batch_size\": \"auto\",\n          \"learning_rate\": 1,\n          \"metric_logging\": {}\n        },\n        \"experimental_config\": {}\n      }\n    }\n  ],\n  \"teacher\": \"<string>\",\n  \"eval\": {\n    \"sample_size\": 123,\n    \"export_eval\": true\n  },\n  \"rollout\": {\n    \"task_version\": 123,\n    \"min_win_rate\": 0.5,\n    \"winner_traffic\": 0\n  }\n}"

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

{
  "config": {},
  "revision": 123,
  "started_by": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "run": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "status": "collecting",
    "dataset_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "eval_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "error": "<string>"
  }
}

{
  "config": {},
  "revision": 123,
  "started_by": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "run": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "status": "collecting",
    "dataset_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "eval_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "error": "<string>"
  }
}

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