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@kvantiqstudio/cli

v0.1.0-alpha.6

Published

Kvantiq Studio CLI - manage challenges, submissions, and scoring from the terminal

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Links

Git

Maintainers

kvantiq_studiokvantiq_studio

Keywords

kvantiqquantumclibenchmarkchallengeqiskitpennylanecirqcuda-qoclif

Readme

@kvantiqstudio/cli

The official command-line interface for Kvantiq Studio. Pull challenges, run them locally, and submit solutions without leaving your terminal.

npm install -g @kvantiqstudio/cli
kvantiq login
kvantiq quickstart qaoa-maxcut-optimization

Three binaries ship with the package: kvantiq, kvs, and kv. They are interchangeable — pick whichever your fingers prefer.

Install

Install the CLI from npm:

npm install -g @kvantiqstudio/cli

Then sign in:

kvantiq login

The kvantiq, kvs, and kv binaries are interchangeable and ship from the same package.

Requirements

  • Node.js 20 or newer
  • A Kvantiq Studio account — request access if you don't have one yet (the platform is currently invite-only)
  • Docker (only required for kvantiq run — local evaluation)

Authentication

kvantiq login opens your browser, signs you in via Kvantiq's PKCE magic-link flow, and stores the resulting token in your operating system's credential vault:

  • macOS → Keychain
  • Windows → Credential Manager
  • Linux → libsecret (GNOME Keyring / KWallet)

Tokens are never written to a config file. kvantiq logout removes them from the vault.

If you're on a headless server or SSH session, the CLI detects the lack of a TTY and prints a URL you can copy to a browser on another machine.

The short version

After kvantiq pull <slug>, the CLI creates a challenge.json file in the challenge directory. From inside that directory, most commands know which challenge you're working on — you don't have to type the slug again:

kvantiq pull qaoa-maxcut-optimization
cd qaoa-maxcut-optimization

kvantiq validate solution.py       # checks your file
kvantiq run                        # runs the scoring pipeline locally
kvantiq submit solution.py         # uploads and queues for scoring
kvantiq status --watch             # follows the scoring job

Common commands

| Command | What it does | | --- | --- | | kvantiq login | Sign in — opens browser, stores token in OS keychain | | kvantiq logout | Remove stored credentials | | kvantiq whoami | Show the email of the currently-logged-in account | | kvantiq challenges list | List open challenges | | kvantiq challenges show <slug> | Print full details for one challenge | | kvantiq pull <slug> | Download starter files into the current directory | | kvantiq quickstart <slug> | pull + create a marimo notebook in one step | | kvantiq run | Run your solution locally in a Docker sandbox | | kvantiq validate <file> | Check your solution file before submitting | | kvantiq submit <file> | Upload a solution and queue it for scoring | | kvantiq status | Show your latest submission's scoring status | | kvantiq leaderboard <slug> | Print the leaderboard for a challenge | | kvantiq marimo init <slug> | Generate a marimo notebook for a challenge | | kvantiq config profile | View or change CLI configuration | | kvantiq feedback | Send feedback to the Kvantiq team | | kvantiq --help | Full command reference |

Run any command with --help for its full flag list.

Web and CLI are equals

Every feature of the CLI has a mirror in the Kvantiq Studio web app, and vice versa. Use whichever fits your workflow. The CLI is built for people who live in terminals, scripts, and CI pipelines — not as a cut-down companion.

Verbose and debug output

  • --verbose on any command prints HTTP request/response details
  • DEBUG=kvantiq* environment variable enables low-level debug logs

Plugins

The CLI is built on oclif and supports third-party plugins. The @kvantiqstudio/plugin-* namespace is reserved for official extensions. Install a plugin with:

kvantiq plugins install @kvantiqstudio/plugin-<name>

License

Apache License 2.0 — see LICENSE for the full text.

Links