wags-llm 0.1.0

Wagnerds toolkit for structured LLM workflows

wags-llm

Wagnerds toolkit for structured LLM workflows.

Run LLM tasks with:

• versioned prompts
• typed (Pydantic) outputs
• optional caching

Extend by defining your own prompts and response models

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Installation

Wags-LLM is available on PyPI:

python3 -m pip install wags_llm

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Example

See our Example Notebook for an example on how to use Wags-LLM.

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Development

Clone the repo and create a virtual environment:

git clone https://github.com/genomicmedlab/wags_llm
cd wags_llm
python3 -m virtualenv venv
source venv/bin/activate

Install development dependencies and prek:

python3 -m pip install -e '.[dev,tests]'
prek install

Check style with ruff:

python3 -m ruff format . && python3 -m ruff check --fix .

Run tests with pytest:

pytest