kblaunch

Python Version Ruff

A CLI tool for launching Kubernetes jobs with environment variable and secret management.

Installation

Using uv (recommended)

Install uv:

curl -LsSf https://astral.sh/uv/install.sh | sh

Alternatively, you can install uv using pip:

pip install uv

Use uvx to use the cli (the uvx command invokes a tool without installing it to the local .venv):

uvx kblaunch --help

When using the kblaunch command always prepend with uvx command.

Usage

Setup

Run the setup command to configure the tool (email and slack webhook):

uvx kblaunch setup

This will go through the following steps:

Set the user (optional): This is used to identify the user and required by the cluster. The default is set to $USER.
Set the email (required): This is used to identify the user and required by the cluster.
Set up Slack notifications (optional): This will send a test message to the webhook, and setup the webhook in the config. When your job starts you will receive a message at the webhook. Note a slack webhook is also required for automatic vscode tunnelling.
Set up a PVC (optional): This will create a PVC for the user to use in their jobs.
Set the default PVC to use (optional): Note only one pod can use the PVC at a time. The default pvc will be passed to the job. The pvc will always be mounted at /pvc.
Set up git credentials (optional): If the user has set up a git/rsa key on the head node. We can export it as a secret for them and automatically load it and setup git credentials in their launched pods. This requires having setup git/rsa credentials before hand.

The outcome of kblaunch setup is a .json file stored in `.cache/.kblaunch/config.json. It should look something like this:

{
  "email": "XXX@ed.ac.uk",
  "user": "sXXX-infk8s",
  "slack_webhook": "https://hooks.slack.com/services/XXX/XXX/XXX",
  "default_pvc": "sXXX-infk8s-pvc",
  "git_secret": "sXXX-infk8s-git-ssh"
}

When you later use kblaunch to launch a job, it will use the values stored in that config.json.

Basic Usage

Launch a simple job:

uvx kblaunch launch
    --job-name myjob \
    --command "python script.py"

With Environment Variables

From local environment:

export PATH=...
export OPENAI_API_KEY=...
# pass the environment variables to the job
kblaunch launch \
    --job-name myjob \
    --command "python script.py" \
    --local-env-vars PATH,OPENAI_API_KEY

From Kubernetes secrets:

uvx kblaunch launch \
    --job-name myjob \
    --command "python script.py" \
    --secrets-env-vars mysecret1,mysecret2

From .env file (default behavior):
```
uvx kblaunch launch \
    --job-name myjob \
    --command "python script.py" \
    --load-dotenv
```
If a .env exists in the current directory, it will be loaded and passed as environment variables to the job.

GPU Jobs

Specify GPU requirements:

uvx kblaunch launch \
    --job-name gpu-job \
    --command "python train.py" \
    --gpu-limit 2 \
    --gpu-product "NVIDIA-A100-SXM4-80GB"

Interactive Mode

Launch an interactive job:

uvx kblaunch launch \
    --job-name interactive \
    --interactive

Launch Options

Launch command options:

--email: User email (overrides config)
--job-name: Name of the Kubernetes job [required]
--docker-image: Docker image (default: "nvcr.io/nvidia/cuda:12.0.0-devel-ubuntu22.04")
--namespace: Kubernetes namespace (default: $KUBE_NAMESPACE)
--queue-name: Kueue queue name (default: $KUBE_QUEUE_NAME)
--interactive: Run in interactive mode (default: False)
--command: Command to run in the container [required if not interactive]
--cpu-request: CPU request (default: "1")
--ram-request: RAM request (default: "8Gi")
--gpu-limit: GPU limit (default: 1)
--gpu-product: GPU product type (default: "NVIDIA-A100-SXM4-40GB")
- Available options:
  - NVIDIA-A100-SXM4-80GB
  - NVIDIA-A100-SXM4-40GB
  - NVIDIA-H100-80GB-HBM3
--secrets-env-vars: List of secret environment variables (default: [])
--local-env-vars: List of local environment variables (default: [])
--load-dotenv: Load environment variables from .env file (default: True)
--nfs-server: NFS server address (default: set to environment variable $INFK8S_NFS_SERVER_IP)
--pvc-name: Persistent Volume Claim name (default: default_pvc if present in config.json)
--dry-run: Print job YAML without creating it (default: False)
--priority: Priority class name (default: "default")
- Available options: default, batch, short
--vscode: Install VS Code CLI in container (default: False)
--tunnel: Start VS Code SSH tunnel on startup (requires $SLACK_WEBHOOK and --vscode flag)
--startup-script: Path to startup script to run in container

Monitor command options:

--namespace: Kubernetes namespace (default: $KUBE_NAMESPACE)

Monitoring Commands

The kblaunch monitor command provides several subcommands to monitor cluster resources:

Displays aggregate GPU statistics for the cluster:

uvx kblaunch monitor gpus

Displays queued jobs (jobs which are waiting for GPUs):

uvx kblaunch monitor queue

Displays per-user statistics:

uvx kblaunch monitor users

Displays per-job statistics:

uvx kblaunch monitor jobs

Note that users and jobs commands will run nvidia-smi on pods to obtain GPU usage is not recommended for frequent use.

Features

Kubernetes job management
Environment variable handling from multiple sources
Kubernetes secrets integration
GPU job support
Interactive mode
Automatic job cleanup
Slack notifications (when configured)
Persistent Volume Claim (PVC) management
VS Code integration (with Code tunnelling support)
Monitoring commands

Release files for kblaunch 0.3.13

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for kblaunch 0.3.13
File	Size	Uploaded
kblaunch-0.3.13.tar.gz	117.3 kB	Jul 25, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for kblaunch 0.3.13
File	Interpreter	ABI	Platform	Reset
kblaunch-0.3.13-py3-none-any.whl 28.5 kB Jul 25, 2026	Python 3	none	any	Details

Total release size: 145.7 kB

Release files / kblaunch-0.3.13.tar.gz

Download URL	kblaunch-0.3.13.tar.gz
Size	117.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`3d080dc82482f975bf77d491e5257c8ea54a5e65fb96de95131b00420b475452`
BLAKE2b-256 checksum How to use checksums	`5095684b2649248798f1227b75318e494057950dae478b6af273d63ea09b5eb3`
Upload date	Jul 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`uv/0.11.32 {"installer":{"name":"uv","version":"0.11.32","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}`

Release files / kblaunch-0.3.13-py3-none-any.whl

Download URL	kblaunch-0.3.13-py3-none-any.whl
Size	28.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`a95a8d0239d7e506031d19f34f31eba624b31b184c591923dc7631a56840386e`
BLAKE2b-256 checksum How to use checksums	`6c7b2353199b072d1e798176bb81970c94f2e713ae7c226c8d267e80c91d740c`
Upload date	Jul 25, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`uv/0.11.32 {"installer":{"name":"uv","version":"0.11.32","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}`