$ guardrails hub install hub://guardrails/similar_to_previous_values

# Import Guard and Validator
from guardrails.hub import SimilarToPreviousValues
from guardrails import Guard
import numpy as np
import os
from typing import List, Union

try:
    import cohere
except ImportError:
    raise ImportError(
        "This example requires the `cohere` package. "
        "Install it with `pip install cohere`, and try again."
    )

# Create a cohere client
cohere_key = os.environ["COHERE_API_KEY"]
cohere_client = cohere.Client(api_key=cohere_key)


def embed_function(text: Union[str, List[str]]) -> np.ndarray:
    """Embed the text using cohere's small model."""
    # If text is a string, wrap it in a list
    if isinstance(text, str):
        text = [text]

    response = cohere_client.embed(
        model="embed-english-light-v2.0",
        texts=text,
    )
    embeddings_list = response.embeddings
    return np.array(embeddings_list)


# Use the Guard with the validator
guard = Guard().use(
    SimilarToPreviousValues,
    threshold=0.6,  # Increase the threshold to make the validator stricter
    on_fail="exception",
)


# Test passing response
guard.validate(
    """
    You are so amazing!
    """,
    metadata={
        "prev_values": ["You are amazing", "You are awesome.", "You are great!"],
        "embed_function": embed_function,
    },
)

try:
    # Test failing response
    guard.validate(
        """
        Why don't you go to hell?
        """,
        metadata={
            "prev_values": ["You are amazing", "You are awesome.", "You are great!"],
            "embed_function": embed_function,
        },
    )
except Exception as e:
    print(e)

Validation failed for field with errors: The value 
	- Why don't you go to hell?
is not semantically similar to the previous values. Avg. similarity: 0.24 < Threshold: 0.6.