Cartesia AI
Quotes Price
Validates that the generated text contains a price quote
en
string
ML
Brand risk
Customer Support
Chatbots

Overview

updated 2 years
Developed by:
Cartesia AI
Date of development:
Feb 15, 2024
Validator type:
Format
Blog:
-
License:
Apache 2
Input/Output:
Output

Playground

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Description

This validator checks if a price quote in a given currency is present in the text. Supported currencies:

  • USD
  • EUR
  • GBP
  • JPY
  • AUD
  • CAD
  • CNY
  • NZD
Requirements
  • Dependencies: None
Installation
guardrails hub install hub://cartesia/quotes_price
Usage Examples
Validating string output via Python

In this example, we use the quotes_price validator on any prompt.

from guardrails import Guard
from guardrails.hub import QuotesPrice

# Setup the Guard with the validator
guard = Guard().use(QuotesPrice, on_fail="exception")

# Test passing responses
guard.validate(
    "The new Airpods Max are available at a crazy discount!"
)  # No price present

response = guard.validate(
    "The new Airpods Max are available at a crazy discount! It's only $9.99!",
    metadata={"currency": "GBP"},
)  # Price present in USD, but expected is GBP

# Test failing response
try:
    response = guard.validate(
        "The new Airpods Max are available at a crazy discount! It's only $9.99!",
        metadata={"currency": "USD"},
    )  # Price present in USD and expected is also USD
except Exception as e:
    print(e)

Output:

Validation failed for field with errors: The generated text contains a price quote in USD.
API Reference

__init__(self, on_fail="noop")

Initializes a new instance of the Validator class.

Parameters:

  • on_fail (str, Callable): The policy to enact when a validator fails. If str, must be one of reask, fix, filter, refrain, noop, exception or fix_reask. Otherwise, must be a function that is called when the validator fails.

validate(self, value, metadata={}) -> ValidationResult

Validates the given value using the rules defined in this validator, relying on the metadata provided to customize the validation process. This method is automatically invoked by guard.parse(...), ensuring the validation logic is applied to the input data.

Note:

  1. This method should not be called directly by the user. Instead, invoke guard.parse(...) where this method will be called internally for each associated Validator.
  2. When invoking guard.parse(...), ensure to pass the appropriate metadata dictionary that includes keys and values required by this validator. If guard is associated with multiple validators, combine all necessary metadata into a single dictionary.

Parameters:

  • value (Any): The input value to validate.

  • metadata (dict): A dictionary containing metadata required for validation. Keys and values must match the expectations of this validator.

    KeyTypeDescriptionDefaultRequired
    currencyStringDesired currency"USD"No