llm-codegen-research 1.4

Useful classes and methods for researching code-generation by LLMs.

llm-codegen-research

usage

A collection of methods and classes I repeatedly use when conducting research on LLM code-generation. Covers both prompting various LLMs, and analysing the markdown responses.

from llm_cgr import generate, Markdown

response = generate("Write python code to generate the nth fibonacci number.")

markdown = Markdown(text=response)

installation

Install directly from PyPI, using pip:

pip install llm-codegen-research

development

Clone the repository code:

git clone https://github.com/itsluketwist/llm-codegen-research.git

We use uv for project management. Once cloned, create a virtual environment and install uv and the project:

python -m venv .venv

. .venv/bin/activate

pip install uv

uv sync

Use make commands to lint and test:

make lint

make test

Use uv to add new dependencies into the project and uv.lock:

uv add openai