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Documentation Index

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Python environments, and cloud compute. Version: 0.13.0 Whether you’re running AI coding agents locally or on cloud servers, managing quantum experiments across providers, or setting up reproducible Python environments — qBraid brings it all into one CLI. Usage: 
$ qbraid [OPTIONS] COMMAND [ARGS]...
Options:
  • -v, --version: 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: 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.