Skip to main content

Command Line Interface for interacting with all parts of the qBraid platform.

Project description

qbraid_cli

Documentation PyPI version Python verions GitHub

Command Line Interface for interacting with all parts of the qBraid platform.

Resources:

Getting Started

The qBraid-CLI comes pre-installed and pre-configured in qBraid Lab:

For help, see qBraid Lab User Guide: Getting Started.

You can also install the qBraid-CLI from PyPI with:

pip install qbraid-cli

To manage qBraid environments using the CLI, you must also install the envs extra:

pip install 'qbraid-cli[envs]'

Local configuration

After installation, you must configure your account credentials to use the CLI locally:

  1. Create a qBraid account or log in to your existing account by visiting account.qbraid.com
  2. Copy your API Key token from the left side of your account page:
  3. Save your API key from step 2 in local configuration file ~/.qbraid/qbraidrc using:
$ qbraid configure

For more on API keys, see documentation.

Basic Commands

$ qbraid
----------------------------------
  * Welcome to the qBraid CLI! * 
----------------------------------

        ____            _     _  
   __ _| __ ) _ __ __ _(_) __| | 
  / _` |  _ \| '__/ _` | |/ _` | 
 | (_| | |_) | | | (_| | | (_| | 
  \__,_|____/|_|  \__,_|_|\__,_| 
     |_|                         


- Use 'qbraid --help' to see available commands.

- Use 'qbraid --version' to see the current version.

Reference Docs: https://docs.qbraid.com/v2/cli/api-reference/qbraid

A qBraid CLI command has the following structure:

$ qbraid <command> <subcommand> [options and parameters]

For example, to list installed environments, the command would be:

$ qbraid envs list

To view help documentation, use one of the following:

$ qbraid --help
$ qbraid <command> --help
$ qbraid <command> <subcommand> --help

To get the version of the qBraid CLI:

$ qbraid --version

Magic Commands

You can also access the CLI directly from within Notebooks using IPython magic commands. First, configure the qBraid magic commands extension using:

$ qbraid configure magic

The above command can also be executed from within a Jupyter notebook using the ! operator. Then, from within a notebook cell, load the qBraid magic IPython extension using:

In [1]: %load_ext qbraid_magic

Now you can continue to use the qBraid-CLI as normal from within your Jupyter notebook using the magic % operator, e.g.

In [2]: %qbraid jobs list

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

qbraid_cli-0.13.0a1.tar.gz (94.1 kB view details)

Uploaded Source

Built Distribution

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

qbraid_cli-0.13.0a1-py3-none-any.whl (105.1 kB view details)

Uploaded Python 3

File details

Details for the file qbraid_cli-0.13.0a1.tar.gz.

File metadata

  • Download URL: qbraid_cli-0.13.0a1.tar.gz
  • Upload date:
  • Size: 94.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for qbraid_cli-0.13.0a1.tar.gz
Algorithm Hash digest
SHA256 8a76056c7212f47644d5a49977665ccd264d24ea46df13ab18e4b9bbe984b08e
MD5 83ae7e68bc1e36d819421e2587a6cb28
BLAKE2b-256 a11d49f4aafb6c05248c53af672555a2654df090bba8e3a1f125542f94bdfcf2

See more details on using hashes here.

File details

Details for the file qbraid_cli-0.13.0a1-py3-none-any.whl.

File metadata

  • Download URL: qbraid_cli-0.13.0a1-py3-none-any.whl
  • Upload date:
  • Size: 105.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for qbraid_cli-0.13.0a1-py3-none-any.whl
Algorithm Hash digest
SHA256 61461fe12641a45c9ee0fbd488daabdc2f1a47075056b4497f1cadbf361a01d2
MD5 3c7f891d77184eac86ebe75c9a27650c
BLAKE2b-256 736f2c69bb4c5fa3f5deeae8bbd259f91a1ad8bdeb6318f57a94a2d858cf576b

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