guardrails-ai-response-evaluator
Evaluate generated output using a provided question.
Installation
pip install guardrails-ai-response-evaluator
This validator ships local models. After installing, run the post-install step to download them:
python -m guardrails_ai.response_evaluator.post_install
Usage
from guardrails import Guard
from guardrails_ai.response_evaluator import ResponseEvaluator
guard = Guard().use(ResponseEvaluator)
License
MIT — © Guardrails AI.
Metadata
Release files for guardrails-ai-response-evaluator 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| guardrails_ai_response_evaluator-0.1.0.tar.gz | 5.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| guardrails_ai_response_evaluator-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.9 kB
Release files / guardrails_ai_response_evaluator-0.1.0.tar.gz
| Download URL | guardrails_ai_response_evaluator-0.1.0.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.14.4
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Release files / guardrails_ai_response_evaluator-0.1.0-py3-none-any.whl
| Download URL | guardrails_ai_response_evaluator-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.4
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Security for guardrails-ai-response-evaluator 0.1.0
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