Skip to main content

guardrails-ai-extracted-summary-sentences-match

This validator checks if the extracted summary sentences match the original document.

Installation

pip install guardrails-ai-extracted-summary-sentences-match

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

python -m guardrails_ai.extracted_summary_sentences_match.post_install

Usage

from guardrails import Guard
from guardrails_ai.extracted_summary_sentences_match import ExtractedSummarySentencesMatch

guard = Guard().use(ExtractedSummarySentencesMatch)

License

MIT — © Guardrails AI.

Metadata

Release files for guardrails-ai-extracted-summary-sentences-match 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-extracted-summary-sentences-match 0.1.0
File Size Uploaded Provenance
guardrails_ai_extracted_summary_sentences_match-0.1.0.tar.gz 5.1 kB Without provenance Details

Built distribution (wheel)

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

Total release size: 10.3 kB

Release files / guardrails_ai_extracted_summary_sentences_match-0.1.0.tar.gz

Download URL guardrails_ai_extracted_summary_sentences_match-0.1.0.tar.gz
Size 5.1 kB
Tags Source
SHA-256 checksum
How to use checksums
4e8fd7bc6b2eee47c6d59661d67e9a980c9328071c157d6f713fa5524e654587
BLAKE2b-256 checksum
How to use checksums
cef6130267264f33006252e33b3a7cebebc64c74a3bd18efc4c15cc6f1c91043
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.12

Release files / guardrails_ai_extracted_summary_sentences_match-0.1.0-py3-none-any.whl

Download URL guardrails_ai_extracted_summary_sentences_match-0.1.0-py3-none-any.whl
Size 5.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d14cfb03fc62b6591b409b4dfce860b0367e3f4e8f935a4cae8fd4483e0a08d8
BLAKE2b-256 checksum
How to use checksums
b25029028e89616a8dd619fd247af9b513b160fb6e67650fca7ca4cceaf643a0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.12

Security for guardrails-ai-extracted-summary-sentences-match 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