guardrails-ai-provenance-nli
Detects and removes hallucinations from LLM-generated text using an NLI model to validate it against a provided context.
Installation
pip install guardrails-ai-provenance-nli
This validator ships local models. After installing, run the post-install step to download them:
python -m guardrails_ai.provenance_nli.post_install
Usage
from guardrails import Guard
from guardrails_ai.provenance_nli import ProvenanceNLI
guard = Guard().use(ProvenanceNLI)
License
MIT — © Guardrails AI.
Metadata
Release files for guardrails-ai-provenance-nli 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| guardrails_ai_provenance_nli-0.1.0.tar.gz | 7.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| guardrails_ai_provenance_nli-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.9 kB
Release files / guardrails_ai_provenance_nli-0.1.0.tar.gz
| Download URL | guardrails_ai_provenance_nli-0.1.0.tar.gz |
|---|---|
| Size | 7.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
234a56b5e10c20fb9a69211dabd31c679c70ce90ba52c5e0a70ac38bc74e620c
|
|
BLAKE2b-256 checksum How to use checksums |
15b68befa0f280070524fb2f34a1d4b597bba97743470743b2500aee3fff2a2d
|
| 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_nli-0.1.0-py3-none-any.whl
| Download URL | guardrails_ai_provenance_nli-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5596ea87bc0f3f784d50b2f4be0afba805d93bf27bd5ecfe5a01fc4238e1187f
|
|
BLAKE2b-256 checksum How to use checksums |
391cc64c9d7c95899409c418f2828d6c6d0086fd1fb44f7027b0bac2f951ea88
|
| 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-nli 0.1.0
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.
