gllm-inference-binary 0.2.38

A library containing components related to model inferences in Gen AI applications.

GLLM Inference

Description

A library containing components related to model inferences in Gen AI applications.

Installation

1. Python v3.11 or above:

You can install Python using Miniconda.

2. Make sure you're in the base conda environment:

conda activate

3. Poetry v1.8.1 or above:

You can install Poetry using cURL (you need Python to install Poetry):

curl -sSL https://install.python-poetry.org | python3 -

4. Install the library using Poetry:

# Latest
poetry add "git+ssh://[e-mail]/GDP-ADMIN/gen-ai-internal.git#subdirectory=libs/gllm-inference"

# Specific version
poetry add "git+ssh://[e-mail]/GDP-ADMIN/gen-ai-internal.git@gllm_inference-v0.0.1-beta.1#subdirectory=libs/gllm-inference"

# Specific Branch Name
poetry add "git+ssh://[e-mail]/GDP-ADMIN/gen-ai-internal.git@<BRANCH NAME>#subdirectory=libs/gllm-inference"

# With extra dependencies
poetry add "git+ssh://[e-mail]/GDP-ADMIN/gen-ai-internal.git#subdirectory=libs/gllm-inference" --extras "extra1 extra2"

Available extras:

• anthropic: Install Anthropic models dependencies
• google-genai: Install Google Generative AI models dependencies
• google-vertexai: Install Google Vertex AI models dependencies
• huggingface: Install HuggingFace models dependencies
• openai: Install OpenAI models dependencies
• twelvelabs: Install TwelveLabs models dependencies

5. At this step, you can deactivate Miniconda environment as Poetry will create and manage its own virtual environment for you.

conda deactivate

Managing Dependencies

1. Go to root folder of gllm-inference module, e.g. cd libs/gllm-inference.
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-inference 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-inference 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/