Skip to main content

guardrails-ai-redundant-sentences

Identifies redundant sentences in text using fuzzy matching.

Installation

pip install guardrails-ai-redundant-sentences

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

python -m guardrails_ai.redundant_sentences.post_install

Usage

from guardrails import Guard
from guardrails_ai.redundant_sentences import RedundantSentences

guard = Guard().use(RedundantSentences)

License

MIT — © Guardrails AI.

Metadata

Release files for guardrails-ai-redundant-sentences 0.1.0

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-redundant-sentences 0.1.0
File Size Uploaded Provenance
guardrails_ai_redundant_sentences-0.1.0.tar.gz 4.1 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for guardrails-ai-redundant-sentences 0.1.0
File Interpreter ABI Platform
guardrails_ai_redundant_sentences-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 8.2 kB

Release files / guardrails_ai_redundant_sentences-0.1.0.tar.gz

Download URL guardrails_ai_redundant_sentences-0.1.0.tar.gz
Size 4.1 kB
Tags Source
SHA-256 checksum
How to use checksums
277ff80c49e2f204ecd7416a6a96ffa97ea094196d141f90d6fae8253b055d6e
BLAKE2b-256 checksum
How to use checksums
3be740ac92b7e0cd70b3639be5afd1305a5e5f47a3e14160b552919cd3306910
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_redundant_sentences-0.1.0-py3-none-any.whl

Download URL guardrails_ai_redundant_sentences-0.1.0-py3-none-any.whl
Size 4.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
92a508afabaef6dcf6dff704fc539cde38c7ee49ffd21f9f6563dd14a51143df
BLAKE2b-256 checksum
How to use checksums
81b82c59f77142902cd98253473571f8b72a3de437414026c7605ac8499b43c6
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-redundant-sentences 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.

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