Guardrails is an open-source toolkit designed to add structure and validation to large language model (LLM) interactions. It provides a way to define expected behaviors and formats for both user inputs and LLM outputs, ensuring that the LLM stays aligned with the intended use case and doesn't produce unwanted or harmful results. Guardrails are commonly used to enforce data privacy, prevent prompt injection attacks, and ensure that LLMs generate consistent and reliable responses.
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