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The IvyCheck Python SDK is a software development kit designed to facilitate interaction with the IvyCheck API, which provides various content verification checks. This SDK allows developers to easily integrate IvyCheck's capabilities into their Python applications. The primary features of the SDK include checks for hallucination detection, personally identifiable information (PII) detection, and prompt injection detection. These checks help ensure the integrity and security of text data by identifying potential issues such as fabricated information, sensitive data exposure, and malicious prompt manipulations. The SDK is installed via the Python package manager pip, making it straightforward to add to any Python environment. Once installed, developers can instantiate the IvyCheck client by providing an API key for authentication. The SDK uses HTTP Bearer token authentication to securely communicate with the IvyCheck API. Usage examples demonstrate how to perform a hallucination check by passing text and context parameters, with the SDK returning a detailed response indicating whether hallucination was detected, along with a confidence score and message. The SDK also supports customization of the underlying HTTP client using the popular requests library, allowing users to configure headers, timeouts, proxies, and other HTTP settings to suit their needs. Overall, the IvyCheck Python SDK streamlines the process of integrating advanced content verification checks into Python applications, enhancing data reliability and security. It is particularly useful for developers working with AI-generated content, sensitive information, or applications requiring robust input validation and security checks.
https://github.com/ivycheck/ivycheck-python-sdk
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