Labqoat

labqoat is the public Python SDK and the lab command-line client for the shared Labqoat cloud platform. Application repositories contain only authored resources—models, jobs, datasets, evaluations, and transforms. Terraform, Kubernetes, persistence, and control-plane services stay in the platform repository and are deployed once.

Install

uv tool install labqoat
# or
pipx install labqoat

Python projects that import the SDK should also declare labqoat as a normal dependency.

Start a project

lab init my-lab-project
cd my-lab-project
uv sync

lab model new audio/my-model
lab train new audio/my-training-job
lab dataset new audio/my-dataset

Authenticate once, then open the AWS dashboard with the same stored session:

lab auth
lab auth ui

The browser handoff is automatic; the bearer token is not printed or placed in the HTTP request URL.

The generated repository has this shape and no infrastructure code:

my-lab-project/
├── datasets/
├── evals/
├── jobs/
├── models/
├── transforms/
├── pyproject.toml
└── README.md

Run lab <group> --help for the command surface. Local check, test, and build commands do not require cloud authentication. submit and deploy require a clean pushed Git commit and send a source snapshot to the one shared AWS builder; user repositories never contain or apply Terraform.

Development

uv sync --all-groups --locked
uv run ruff format --check .
uv run ruff check .
uv run pyright
uv run pytest
uv build