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A library containing core components for Gen AI applications.

Project description

GLLM Core

Description

A core library providing foundational components and utilities for Generative AI applications.

Installation

Prerequisites

1. Installation from Artifact Registry

Choose one of the following methods to install the package:

Using pip

pip install gllm-core-binary

Using Poetry

poetry add gllm-core-binary

2. Development Installation (Git)

For development purposes, you can install directly from the Git repository:

poetry add "git+ssh://git@github.com/GDP-ADMIN/gen-ai-internal.git#subdirectory=libs/gllm-core"

Managing Dependencies

  1. Go to root folder of gllm-core module, e.g. cd libs/gllm-core.
  2. Run poetry shell to create a virtual environment.
  3. Run poetry lock to create a lock file if you haven't done it yet.
  4. Run poetry install to install the gllm-core requirements for the first time.
  5. Run poetry update if you update any dependency module version at pyproject.toml.

Contributing

Please refer to this Python Style Guide to get information about code style, documentation standard, and SCA that you need to use when contributing to this project

  1. Activate pre-commit hooks using pre-commit install
  2. Run poetry shell to create a virtual environment.
  3. Run poetry lock to create a lock file if you haven't done it yet.
  4. Run poetry install to install the gllm-core requirements for the first time.
  5. Run which python to get the path to be referenced at Visual Studio Code interpreter path (Ctrl+Shift+P or Cmd+Shift+P)
  6. Try running the unit test to see if it's working:
poetry run pytest -s tests/unit_tests/

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