qBraid Chat

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Overview

To view all available command options, use the --help or -h flag:

qbraid chat --help

By default, qBraid chat uses the gpt-4o-mini model. To see a list of all available models, along with their descriptions and pricing, use the --list-models or -l flag:

qbraid chat --list-models

Ask questions by providing the --prompt or -p flag to receive plain-text responses:

qbraid chat --prompt "What is the Schrödinger equation?"

For longer outputs, enable the --stream or -s flag to receive the response in chunks as it streams:

qbraid chat --prompt "What does the Schrödinger equation tell us?" --stream

To query a specific model, use the --model or -m flag:

qbraid chat --model "gpt-4o" --prompt "Write a Qiskit bell circuit"

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Jupyter Notebook Coding Assistant

Enhance your workflow by using qBraid chat as an in-line coding assistant directly within a Jupyter Notebook. First, configure magic commands from your shell:

qbraid configure magic

Next, open a notebook, load the qbraid_magic extension, and use the --format or -f flag with the code option to generate raw code responses:

In [1]: %load_ext qbraid_magic

In [2]: %qbraid chat -f code -p "Write a Cirq bell circuit"

The generated code will be automatically inserted into the notebook cell below.

For more details on qBraid chat magic commands, visit the magic commands user guide.

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Coming Soon

• Fine-tuned models specifically designed for quantum computing software development.
• Contextual awareness tailored to specific environments, notebooks, and projects within qBraid Lab.