Overview

Universal command line interface for interacting with all parts of the qBraid platform.

The qBraid CLI is a versatile command-line interface tool designed for seamless interaction with qBraid cloud services and quantum software management tools.

Getting Started

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

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

Local Setup

If you prefer to use qBraid-CLI on your local machine, you can install it from PyPI with:

pip install qbraid-cli

qbraid-cli versions <0.12 are not compatible with qBraid API V2. See migration guide.

To ensure compatibility with the new platform, use qbraid-cli ≥ 0.12.0.

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

pip install 'qbraid-cli[envs]'

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

Create a qBraid account or log in to your existing account by visiting account.qbraid.com
Navigate to Account > API Keys in the left-sidebar, and then click “Create API Key”.
Save your API key from step 2 in local configuration file ~/.qbraid/qbraidrc using:

$ qbraid configure

Important for Windows Users:

If you encounter a warning like:

WARNING: The script qbraid.exe is installed in 'C:\Users\<YourUsername>\AppData\Local\Packages\PythonSoftwareFoundation.Python.<version>\LocalCache\local-packages\Python<version>\Scripts' which is not on PATH.

You need to add the directory containing qbraid.exe to your system’s PATH.

Copy the directory path provided in the warning.
Follow these steps:

Open the Start Menu, search for “Environment Variables,” and select “Edit the system environment variables.”
In the System Properties window, click the Environment Variables button.
Under “User variables,” locate the Path variable, click Edit, and add the copied directory.

Save the changes and restart your terminal.

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

For example:

$ qbraid --help

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

The qBraid CLI — A unified interface for AI agents, quantum computing,
Python environments, and cloud compute.

Options
  --version  -v                 Show the version and exit.
  --install-completion          Install completion for the current shell.
  --show-completion             Show completion for the current shell, to copy it or customize the installation.
  --help     -h                 Show this message and exit.

Commands
  admin                         CI/CD commands for qBraid maintainers.
  agents                        Manage AI coding agent sessions.
  compute                       Manage cloud compute and SSH.
  lab                           Launch qBraid Lab (JupyterLab).
  configure                     Configure CLI settings.
  account                       Manage qBraid account.
  devices                       Browse quantum devices.
  jobs                          Submit and track quantum computing jobs.
  projects                      Browse and install qBraid Hub projects.
  skills                        Create, install, and share AI coding skills.
  troubleshoot                  Diagnose qBraid platform issues.
  envs                          Manage Python environments.
  kernels                       Add, remove, and repair Jupyter kernels.
  pip                           Run pip command in active qBraid environment.

To get the version of the qBraid CLI:

$ qbraid --version