Get training job queue context

GET

training

jobs

{training_job_id}

queue_context

cURL

curl --request GET \
--url https://api.baseten.co/v1/training/jobs/{training_job_id}/queue_context \
--header "Authorization: Bearer $BASETEN_API_KEY"

import requests
import os
API_KEY = os.environ.get("BASETEN_API_KEY", "<YOUR_API_KEY>")
url = "https://api.baseten.co/v1/training/jobs/{training_job_id}/queue_context"

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

response = requests.request(
    "GET",
    url,
    headers=headers,
    json={}
)

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.baseten.co/v1/training/jobs/{training_job_id}/queue_context', 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/{training_job_id}/queue_context",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

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

curl_close($curl);

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

package main

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

func main() {

	url := "https://api.baseten.co/v1/training/jobs/{training_job_id}/queue_context"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.baseten.co/v1/training/jobs/{training_job_id}/queue_context")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.baseten.co/v1/training/jobs/{training_job_id}/queue_context")

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

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

{
  "target_job_id": "<string>",
  "gpu_type": "<string>",
  "requested_gpus": 123,
  "submitted_at": "2023-11-07T05:31:56Z",
  "active_at_submit": [
    {
      "training_job_id": "<string>",
      "instance_type_name": "<string>",
      "total_gpus": 123,
      "workload_plane_name": "<string>",
      "status_at_submit": "<string>",
      "status_set_at": "2023-11-07T05:31:56Z",
      "training_job_name": "<string>"
    }
  ],
  "pending_ahead_at_submit": [
    {
      "training_job_id": "<string>",
      "instance_type_name": "<string>",
      "requested_gpus": 123,
      "priority": 123,
      "submitted_at": "2023-11-07T05:31:56Z",
      "training_job_name": "<string>"
    }
  ],
  "events": [
    {
      "training_job_id": "<string>",
      "status": "<string>",
      "created": "2023-11-07T05:31:56Z",
      "training_job_name": "<string>",
      "event_message": "<string>",
      "exit_code": 123
    }
  ],
  "events_window_end": "2023-11-07T05:31:56Z",
  "target_job_name": "<string>",
  "released_at": "2023-11-07T05:31:56Z",
  "pending_seconds": 123,
  "org_capacity": {
    "gpu_type": "<string>",
    "max_gpus": 123,
    "last_modified": "2023-11-07T05:31:56Z",
    "min_gpus": 123
  },
  "team_capacity": {
    "gpu_type": "<string>",
    "max_gpus": 123,
    "last_modified": "2023-11-07T05:31:56Z",
    "min_gpus": 123
  }
}

Authorizations

Authorization

string

header

required

Send Authorization: Bearer <api_key>. The legacy Authorization: Api-Key <api_key> scheme is also accepted.

Path Parameters

training_job_id

string

required

Response

200 - application/json

Read-only diagnostic for a training job's PENDING window.

Returns the (org, gpu_type) capacity pool the job was gated by, jobs that were holding GPU capacity in that pool when this job was submitted, and every status event in [submitted_at, released_at] for those jobs (or up to "now" if the target is still PENDING).

target_job_id

string

required

Hashid of the target training job

gpu_type

string

required

GPU type the target requested

requested_gpus

integer

required

GPUs the target requested (gpu_count * effective_node_count)

submitted_at

string<date-time>

required

When the job row was inserted (= API POST time)

active_at_submit

ActiveJobAtSubmitV1 · object[]

required

Jobs in the same (org, gpu_type) pool that were holding capacity at submitted_at

Show child attributes

pending_ahead_at_submit

PendingJobAheadAtSubmitV1 · object[]

required

PENDING jobs in the same (org, gpu_type) pool that were ahead of the target in dequeue FIFO order at submitted_at (priority DESC then created ASC). These also block the target's release.

Show child attributes

events

QueueEventV1 · object[]

required

Every status event in [submitted_at, events_window_end] for the target job, every job in active_at_submit, and every job in pending_ahead_at_submit, oldest first.

Show child attributes

events_window_end

string<date-time>

required

released_at if set, else 'now' (events ongoing)

target_job_name

string | null

Target job's name

released_at

string<date-time> | null

When the job's TRAINING_JOB_CREATED status was set, i.e. the moment it was released from PENDING. None if still PENDING.

pending_seconds

integer | null

released_at - submitted_at in seconds. None if still PENDING.

org_capacity

CapacityAtSubmitV1 · object | null

Org-level cap for (org, gpu_type). None if no cap is configured.

Show child attributes

team_capacity

CapacityAtSubmitV1 · object | null

Team-level cap for (team, gpu_type). None if no team cap is configured.

Show child attributes

Get training job checkpoint filesGets presigned URLs for all checkpoint files for a training job.

⌘I

cURL

curl --request GET \
--url https://api.baseten.co/v1/training/jobs/{training_job_id}/queue_context \
--header "Authorization: Bearer $BASETEN_API_KEY"

import requests
import os
API_KEY = os.environ.get("BASETEN_API_KEY", "<YOUR_API_KEY>")
url = "https://api.baseten.co/v1/training/jobs/{training_job_id}/queue_context"

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

response = requests.request(
    "GET",
    url,
    headers=headers,
    json={}
)

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.baseten.co/v1/training/jobs/{training_job_id}/queue_context', 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/{training_job_id}/queue_context",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

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

curl_close($curl);

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

package main

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

func main() {

	url := "https://api.baseten.co/v1/training/jobs/{training_job_id}/queue_context"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.baseten.co/v1/training/jobs/{training_job_id}/queue_context")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.baseten.co/v1/training/jobs/{training_job_id}/queue_context")

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

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

{
  "target_job_id": "<string>",
  "gpu_type": "<string>",
  "requested_gpus": 123,
  "submitted_at": "2023-11-07T05:31:56Z",
  "active_at_submit": [
    {
      "training_job_id": "<string>",
      "instance_type_name": "<string>",
      "total_gpus": 123,
      "workload_plane_name": "<string>",
      "status_at_submit": "<string>",
      "status_set_at": "2023-11-07T05:31:56Z",
      "training_job_name": "<string>"
    }
  ],
  "pending_ahead_at_submit": [
    {
      "training_job_id": "<string>",
      "instance_type_name": "<string>",
      "requested_gpus": 123,
      "priority": 123,
      "submitted_at": "2023-11-07T05:31:56Z",
      "training_job_name": "<string>"
    }
  ],
  "events": [
    {
      "training_job_id": "<string>",
      "status": "<string>",
      "created": "2023-11-07T05:31:56Z",
      "training_job_name": "<string>",
      "event_message": "<string>",
      "exit_code": 123
    }
  ],
  "events_window_end": "2023-11-07T05:31:56Z",
  "target_job_name": "<string>",
  "released_at": "2023-11-07T05:31:56Z",
  "pending_seconds": 123,
  "org_capacity": {
    "gpu_type": "<string>",
    "max_gpus": 123,
    "last_modified": "2023-11-07T05:31:56Z",
    "min_gpus": 123
  },
  "team_capacity": {
    "gpu_type": "<string>",
    "max_gpus": 123,
    "last_modified": "2023-11-07T05:31:56Z",
    "min_gpus": 123
  }
}

Reference

Inference API

Management API

CLI reference

SDK reference

Training API

Frontier Gateway API

CI/CD

Get training job queue context

Authorizations

Path Parameters

Response