$ guardrails hub install hub://guardrails/detect_pii

# Import Guard and Validator
from guardrails.hub import DetectPII
from guardrails import Guard


# Setup Guard
guard = Guard().use(
    DetectPII, ["EMAIL_ADDRESS", "PHONE_NUMBER"], "exception"
)

guard.validate("Good morning!")  # Validator passes
try:
    guard.validate(
        "If interested, apply at not_a_real_email@guardrailsai.com"
    )  # Validator fails
except Exception as e:
    print(e)

Validation failed for field with errors: The following text in your response contains PII:
If interested, apply at not_a_real_email@guardrailsai.com

# Import Guard and Validator
from pydantic import BaseModel, Field
from guardrails.hub import DetectPII
from guardrails import Guard

# Initialize Validator
val = DetectPII(pii_entities=["EMAIL_ADDRESS", "PHONE_NUMBER"], on_fail="exception")


# Create Pydantic BaseModel
class UserHistory(BaseModel):
    name: str
    last_msg: str = Field(description="Last message sent by user", validators=[val])


# Create a Guard to check for valid Pydantic output
guard = Guard.from_pydantic(output_class=UserHistory)

# Run LLM output generating JSON through guard
try:
    guard.parse(
        """
    {
        "name": "John Smith",
        "last_msg": "My account isn't working. My username is not_a_real_email@guardrailsai.com"
    }
    """
    )
except Exception as e:
    print(e)

Validation failed for field with errors: The following text in your response contains PII:
My account isn't working. My username is not_a_real_email@guardrailsai.com