hirundo · 
The Hirundo Python SDK lets you:
- Launch and monitor LLM behavior unlearning runs.
- Run LLM behavior evaluations for bias, hallucination, and prompt injection.
- Run dataset QA for ML datasets (classification, object detection, and more).
- Fetch QA results as
pandasorpolarsDataFrames.
This SDK requires access to a Hirundo server (SaaS, VPC, or on-prem).
Requirements
- Python 3.10, 3.11, 3.12, or 3.13 (CPython).
- A Hirundo API key.
Installation
pip install hirundo
Optional extras:
- LLM behavior unlearning (Transformers + PEFT):
pip install hirundo[transformers] - Dataset QA or LLM behavior eval results as DataFrames:
pip install hirundo[pandas]orpip install hirundo[polars]
If you want to install from source, clone this repository and run:
pip install .
Configure API access
You can set environment variables directly or use the CLI helper:
hirundo setup
This writes HIRUNDO_API_KEY (and optionally HIRUNDO_API_HOST) to .env in the current directory or ~/.hirundo.conf.
Quickstart examples
The full quickstart examples now live in the Sphinx docs so they can be linted,
formatted, and type-checked as real Python files. See the examples embedded in
docs/index.rst, which are sourced from docs/*.py files.
Supported dataset storage
- Amazon S3
- Google Cloud Storage (GCS)
- Git repositories with LFS (GitHub, Hugging Face)
Further documentation
- Documentation site: https://docs.hirundo.io/
- Example notebooks: notebooks/
2 maintainers
Metadata
2 maintainers
Release files for hirundo 0.3.2
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Source distribution (sdist)
| File | Size | Uploaded | |
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| hirundo-0.3.2.tar.gz | 55.0 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hirundo-0.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 110.8 kB
Release files / hirundo-0.3.2.tar.gz
| Download URL | hirundo-0.3.2.tar.gz |
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| Size | 55.0 kB |
| Tags | Source |
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| Download URL | hirundo-0.3.2-py3-none-any.whl |
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| Size | 55.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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