Search training jobs

curl --request POST \
--url https://api.baseten.co/v1/training_jobs/search \
--header "Authorization: Bearer $BASETEN_API_KEY" \
--data '{
  "project_id": "n4q95w5",
  "job_id": "p7qr9qv",
  "statuses": [
    "TRAINING_JOB_RUNNING",
    "TRAINING_JOB_COMPLETED"
  ]
}'

import requests
import os
API_KEY = os.environ.get("BASETEN_API_KEY", "<YOUR_API_KEY>")
url = "https://api.baseten.co/v1/training_jobs/search"

headers = {"Authorization": f"Bearer {API_KEY}"}

response = requests.request(
    "POST",
    url,
    headers=headers,
    json={'project_id': 'n4q95w5', 'job_id': 'p7qr9qv', 'statuses': ['TRAINING_JOB_RUNNING', 'TRAINING_JOB_COMPLETED']}
)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    project_id: 'n4q95w5',
    job_id: 'p7qr9qv',
    statuses: ['TRAINING_JOB_RUNNING', 'TRAINING_JOB_COMPLETED'],
    order_by: [{field: 'created_at', order: 'desc'}]
  })
};

fetch('https://api.baseten.co/v1/training_jobs/search', 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.baseten.co/v1/training_jobs/search",
  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([
    'project_id' => 'n4q95w5',
    'job_id' => 'p7qr9qv',
    'statuses' => [
        'TRAINING_JOB_RUNNING',
        'TRAINING_JOB_COMPLETED'
    ],
    'order_by' => [
        [
                'field' => 'created_at',
                'order' => 'desc'
        ]
    ]
  ]),
  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.baseten.co/v1/training_jobs/search"

	payload := strings.NewReader("{\n  \"project_id\": \"n4q95w5\",\n  \"job_id\": \"p7qr9qv\",\n  \"statuses\": [\n    \"TRAINING_JOB_RUNNING\",\n    \"TRAINING_JOB_COMPLETED\"\n  ],\n  \"order_by\": [\n    {\n      \"field\": \"created_at\",\n      \"order\": \"desc\"\n    }\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://api.baseten.co/v1/training_jobs/search")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"project_id\": \"n4q95w5\",\n  \"job_id\": \"p7qr9qv\",\n  \"statuses\": [\n    \"TRAINING_JOB_RUNNING\",\n    \"TRAINING_JOB_COMPLETED\"\n  ],\n  \"order_by\": [\n    {\n      \"field\": \"created_at\",\n      \"order\": \"desc\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.baseten.co/v1/training_jobs/search")

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  \"project_id\": \"n4q95w5\",\n  \"job_id\": \"p7qr9qv\",\n  \"statuses\": [\n    \"TRAINING_JOB_RUNNING\",\n    \"TRAINING_JOB_COMPLETED\"\n  ],\n  \"order_by\": [\n    {\n      \"field\": \"created_at\",\n      \"order\": \"desc\"\n    }\n  ]\n}"

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

{
  "training_jobs": [
    {
      "id": "<string>",
      "created_at": "2023-11-07T05:31:56Z",
      "current_status": "<string>",
      "instance_type": {
        "id": "<string>",
        "name": "<string>",
        "memory_limit_mib": 123,
        "millicpu_limit": 123,
        "gpu_count": 123,
        "gpu_type": "<string>",
        "gpu_memory_limit_mib": 123
      },
      "updated_at": "2023-11-07T05:31:56Z",
      "training_project_id": "<string>",
      "training_project": {
        "id": "<string>",
        "name": "<string>"
      },
      "error_message": "<string>",
      "name": "gpt-oss-job",
      "priority": 0,
      "availability_model": "dedicated",
      "user": {
        "email": "<string>"
      }
    }
  ]
}