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Gettting Started with the Qiskit Code Assistant

Requirements

  • JupyterLab >= 4.2.0
  • An IBM Quantum premium account

Install

To install the extension, execute:

pip install qiskit_code_assistant_jupyterlab

To install the extension using a GitHub release, download the whl file from the latest release, then execute:

pip install PATH/TO/DOWNLOADED/FILE.whl

Uninstall

To remove the extension, execute:

pip uninstall qiskit_code_assistant_jupyterlab

Using the Qiskit Code Assistant

IBM Quantum API Token

To make calls to the service API the extension requires an IBM Quantum API token.

Getting your API token

Open the IBM Quantum website in your browser and login with your IBM Quantum account. After logging in, an API token is displayed on the upper right side of the webpage.

IBM Quantum API Key

Submitting your API token to the extension

When you first open Jupyterlab in a new window or tab you may see that the status bar is highlighted orange, this shows that the service is not reachable.

statusbar warning

If you click the status bar or try to run the completer a dialog will display asking for your API token, paste the token copied above here.

token dialog

You can also search for "Qiskit" in the command palette (Alt Shift C) to enter or update your API token.

Once you've submitted a valid API key then the model select dialog will show, you can open this dialog again to change models by clicking the statusbar.

select a model

In addition if the enviroment variable QISKIT_IBM_TOKEN is set or the Qiskit configuration file ~/.qiskit/qiskit-ibm.json exists then the API token will be populated at application start. If an API token is entered via the extension it will be stored in ~/.qiskit/qiskit-ibm.json under a new config named qiskit-code-assistant

Using the Inline Completer

The inline completer can be triggered using the following key strokes.

  • Alt . or Alt \ will run the completer at the current cursor location
  • Alt [ and Alt ] can be used to cycle through the list of suggestions if there are more than one
  • Alt Tab or Alt END will "accept" the suggested code and insert it at the current cursor location

In addition, once the completer runs you can use the buttons on the inline completer widget to cycle or accept

inline complete example

NOTE: The service can sometime take a few seconds to retrun a suggestion, you can see when the service is working by checking the status bar

working

Using the Code Completer

Jupyterlab also includes a traditional completer than displays suggestion in a context menu rather than inline. This completer can be triggered using Tab to run and display the context menu.

The context menu will include suggestions from the default completer in addition to the Qiskit Code Assistant suggestions. The context menu also sanitizes and trims the suggestions, making it less useful for see the code suggestion before inserting it.

tab complete example

Jupyterlab Settings

There are a few settings we recommend to edit in your user settings.

  1. Inline Completer showWidget can be set to always in order to always show the inline completer widget to cycle through and select a completion item

  2. Code Completion providerTimeout can be increased, our suggested value is 10000 or 10 seconds. This is 1 second by default and the Qiskit Code Assistant API rarely returns within 1 second. This setting only apply the the standard completer that is invoked with Tab, the inline completer has a default of 10 seconds.

  3. If you want to change the instance of the Qiskit Code Assistant Service that the extension should use you can edit the Qiskit Code Assistant setting serviceUrl

  4. Keyboard shortcuts can be changed by searching for completer in the Keyboard Shortcuts settings and adding new shortcuts for the relevant commands.

Troubleshooting

If you are seeing the frontend extension, but it is not working, check that the server extension is enabled:

jupyter server extension list

If the server extension is installed and enabled, but you are not seeing the frontend extension, check the frontend extension is installed:

jupyter labextension list