wags-llm
Wagnerds toolkit for structured LLM workflows.
Execute LLM prompts with:
- versioned prompts
- Pydantic-validated structured outputs
- optional caching
Extend by defining your own prompts and response models
Installation
Wags-LLM is available on PyPI:
python3 -m pip install wags_llm
Example
See our Example Notebook for an example on how to use Wags-LLM.
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
3 maintainers
Metadata
3 maintainers
Release files for wags-llm 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| wags_llm-0.3.0.tar.gz | 26.2 kB | Details |
Built distribution (wheel)
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|---|---|---|---|---|
| wags_llm-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.0 kB
Release files / wags_llm-0.3.0.tar.gz
| Download URL | wags_llm-0.3.0.tar.gz |
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| Size | 26.2 kB |
| Tags | Source |
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| Size | 18.8 kB |
| Tags | Python 3 |
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