Skip to main content

guardrails-ai-provenance-llm

A validator for ensuring the factuality and reducing brand risk in generated content.

Installation

pip install guardrails-ai-provenance-llm

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

python -m guardrails_ai.provenance_llm.post_install

Usage

from guardrails import Guard
from guardrails_ai.provenance_llm import ProvenanceLLM

guard = Guard().use(ProvenanceLLM)

License

MIT — © Guardrails AI.

Metadata

Release files for guardrails-ai-provenance-llm 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-llm 0.0.2
File Size Uploaded Provenance
guardrails_ai_provenance_llm-0.0.2.tar.gz 9.1 kB Without provenance Details

Built distribution (wheel)

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

Total release size: 17.5 kB

Release files / guardrails_ai_provenance_llm-0.0.2.tar.gz

Download URL guardrails_ai_provenance_llm-0.0.2.tar.gz
Size 9.1 kB
Tags Source
SHA-256 checksum
How to use checksums
988becb8a89ec3676127c0d05969a7193ec91e6ba9e9d542e2d67aafec8027dd
BLAKE2b-256 checksum
How to use checksums
a5bb9fbd9386cef110dd906681571f81cbb05a9fac9586cba50fbc6f753e5dc5
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_llm-0.0.2-py3-none-any.whl

Download URL guardrails_ai_provenance_llm-0.0.2-py3-none-any.whl
Size 8.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1140f55fb114400ce87eae0502df82886933b5c234b69d4b7d6ced9c5bacbc98
BLAKE2b-256 checksum
How to use checksums
2a90eda386e33e1a3b4378af4450515e892db4fc471f5de32691f7366d922647
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-llm 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.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page