guardrails-ai-qa-relevance-llm-eval
Makes a second request to the LLM, asking it if its original response was relevant to the prompt.
Installation
pip install guardrails-ai-qa-relevance-llm-eval
This validator ships local models. After installing, run the post-install step to download them:
python -m guardrails_ai.qa_relevance_llm_eval.post_install
Usage
from guardrails import Guard
from guardrails_ai.qa_relevance_llm_eval import QARelevanceLLMEval
guard = Guard().use(QARelevanceLLMEval)
License
MIT — © Guardrails AI.
Metadata
Release files for guardrails-ai-qa-relevance-llm-eval 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| guardrails_ai_qa_relevance_llm_eval-0.0.2.tar.gz | 4.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| guardrails_ai_qa_relevance_llm_eval-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.7 kB
Release files / guardrails_ai_qa_relevance_llm_eval-0.0.2.tar.gz
| Download URL | guardrails_ai_qa_relevance_llm_eval-0.0.2.tar.gz |
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| Size | 4.4 kB |
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Release files / guardrails_ai_qa_relevance_llm_eval-0.0.2-py3-none-any.whl
| Download URL | guardrails_ai_qa_relevance_llm_eval-0.0.2-py3-none-any.whl |
|---|---|
| Size | 4.3 kB |
| Tags | Python 3 |
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