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guardrails-ai-provenance-embeddings

Compares embeddings of generated and source texts to calculate provenance.

Installation

pip install guardrails-ai-provenance-embeddings

This validator ships local models. After installing, run the post-install step to download them:

python -m guardrails_ai.provenance_embeddings.post_install

Usage

from guardrails import Guard
from guardrails_ai.provenance_embeddings import ProvenanceEmbeddings

guard = Guard().use(ProvenanceEmbeddings)

License

MIT — © Guardrails AI.

Metadata

Release files for guardrails-ai-provenance-embeddings 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for guardrails-ai-provenance-embeddings 0.0.2
File Size Uploaded Provenance
guardrails_ai_provenance_embeddings-0.0.2.tar.gz 7.6 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for guardrails-ai-provenance-embeddings 0.0.2
File Interpreter ABI Platform
guardrails_ai_provenance_embeddings-0.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 14.8 kB

Release files / guardrails_ai_provenance_embeddings-0.0.2.tar.gz

Download URL guardrails_ai_provenance_embeddings-0.0.2.tar.gz
Size 7.6 kB
Tags Source
SHA-256 checksum
How to use checksums
7613959c3f9e5bf78ede8c248217549471d9ca2d6aa5b6cbe88cf2f9b0b072d6
BLAKE2b-256 checksum
How to use checksums
39c02f769df4394ff934cf6722af456c2504e0a7541c4a6e667e66dbe633c6b2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.4

Release files / guardrails_ai_provenance_embeddings-0.0.2-py3-none-any.whl

Download URL guardrails_ai_provenance_embeddings-0.0.2-py3-none-any.whl
Size 7.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ade6e6df3c6c00ad5cb14911be02b44c6c877c9660d6ef81157f4228cb820141
BLAKE2b-256 checksum
How to use checksums
3d038b45d867e36c2839ff07ac0a502284436e90177c0f02f4e267cff03ab746
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.4

Security for guardrails-ai-provenance-embeddings 0.0.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

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