Skip to main content

guardrails-ai-similar-to-previous-values

Checks if a value is similar to a list of previously known correct values.

Installation

pip install guardrails-ai-similar-to-previous-values

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

python -m guardrails_ai.similar_to_previous_values.post_install

Usage

from guardrails import Guard
from guardrails_ai.similar_to_previous_values import SimilarToPreviousValues

guard = Guard().use(SimilarToPreviousValues)

License

MIT — © Guardrails AI.

Metadata

Release files for guardrails-ai-similar-to-previous-values 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-similar-to-previous-values 0.1.0
File Size Uploaded Provenance
guardrails_ai_similar_to_previous_values-0.1.0.tar.gz 5.5 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for guardrails-ai-similar-to-previous-values 0.1.0
File Interpreter ABI Platform
guardrails_ai_similar_to_previous_values-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 11.0 kB

Release files / guardrails_ai_similar_to_previous_values-0.1.0.tar.gz

Download URL guardrails_ai_similar_to_previous_values-0.1.0.tar.gz
Size 5.5 kB
Tags Source
SHA-256 checksum
How to use checksums
504862e5e3d1ebcc05389adeefd63d0eaa07c26585c2135664c354c48aef525c
BLAKE2b-256 checksum
How to use checksums
f53ba9cdcc0dd4df4c5152d7d032c52bde47da2775d6d0d0dc2d563cfc129a5c
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_similar_to_previous_values-0.1.0-py3-none-any.whl

Download URL guardrails_ai_similar_to_previous_values-0.1.0-py3-none-any.whl
Size 5.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1b35420e3236cc018ff418aecc59bf21e0800d682a85b41474085f31e06c1a29
BLAKE2b-256 checksum
How to use checksums
eddbb55106e6a4515eb8ac2c436fd5d428be3e4a8d6abd329d0e19e261b88b4c
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-similar-to-previous-values 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