Skip to main content

Transformer Lab CLI

Project description

Transformer Lab CLI

Main Screenshot

Job Monitor Screenshot

Install

uv tool install transformerlab-cli

Usage

 Usage: lab [OPTIONS] COMMAND [ARGS]...

 Transformer Lab CLI

╭─ Options ────────────────────────────────────────────────────────────────────╮
│ --format        TEXT  Output format: pretty or json [default: pretty]        │
│ --help                Show this message and exit.                            │
╰──────────────────────────────────────────────────────────────────────────────╯
╭─ Commands ───────────────────────────────────────────────────────────────────╮
│ version   Display the CLI version.                                           │
│ config    View or set configuration values.                                  │
│ status    Check the status of the server.                                    │
│ login     Log in to Transformer Lab.                                         │
│ logout    Log out from Transformer Lab.                                      │
│ task      Task management commands                                           │
│ job       Job management commands                                            │
╰──────────────────────────────────────────────────────────────────────────────╯

Command Reference

For a full list of all commands with detailed options and example usage, see COMMANDS.md.

Claude Code Skill

Want Claude Code (or other AI coding agents) to manage Transformer Lab for you? Install the skill:

npx skills add transformerlab/transformerlab-app --skill transformerlab-cli

This teaches your AI agent how to use the lab CLI to check job status, stream logs, download artifacts, queue tasks, manage providers, and more. See .agents/skills/transformerlab-cli/ for the full skill definition.

Development

Run (DEV)

uv run src/transformerlab_cli/main.py

Build Locally

Option A — Global install (simple)

uv tool install . --force --reinstall

This installs lab into ~/.local/bin/ so it's available from any shell.

Option B — Editable install into an active venv (recommended for iterative dev)

# Activate the venv you want lab installed into, e.g.
source ~/.transformerlab/envs/general-uv/bin/activate

# From the cli/ directory:
uv pip install -e .

lab will live at <venv>/bin/lab and only resolve while that venv is active. Code changes take effect without reinstalling.

⚠️ Gotcha: if a cli/.venv directory exists, uv pip install targets it instead of your active $VIRTUAL_ENV, and which lab will come up empty. Either delete it (rm -rf cli/.venv) or force the target explicitly: uv pip install -e . --python "$VIRTUAL_ENV/bin/python".

Debug the Job Monitor

Install editable into your active venv (see Option B above), then:

uv run textual run --dev src/transformerlab_cli/commands/job_monitor/job_monitor.py

and then in another window:

textual console -x SYSTEM -x EVENT -x INFO

Run Textual in Browser

uv run textual serve src/transformerlab_cli/commands/job_monitor/job_monitor.py

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

transformerlab_cli-0.0.20.tar.gz (64.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

transformerlab_cli-0.0.20-py3-none-any.whl (77.7 kB view details)

Uploaded Python 3

File details

Details for the file transformerlab_cli-0.0.20.tar.gz.

File metadata

  • Download URL: transformerlab_cli-0.0.20.tar.gz
  • Upload date:
  • Size: 64.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for transformerlab_cli-0.0.20.tar.gz
Algorithm Hash digest
SHA256 0540060a04c239ff73ded307fbda0c3fa7e3507f116ee268aff8b1660acaef54
MD5 9150bf7714b8a6c7b55e1cbfd310ee52
BLAKE2b-256 f7dcf44683e0354d32ed1e38f40788171e094d9b3ef2dc563bb186089ebc50fa

See more details on using hashes here.

File details

Details for the file transformerlab_cli-0.0.20-py3-none-any.whl.

File metadata

File hashes

Hashes for transformerlab_cli-0.0.20-py3-none-any.whl
Algorithm Hash digest
SHA256 7e7616853ea1453cd0df4e05feee1a3f0f78cf73dabe056d7d2910c307e6357a
MD5 f4794a7117a62cdeeec30fb883dbefe3
BLAKE2b-256 bc8e063758b545e943422a536399400ee04b945b8660fcb8736fb564cc3dffc0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page