Guardrails AI

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SKU: guardrails-ai
Guardrails AI is an open-source Python framework that helps developers build reliable AI applications by adding guardrails to large language models (LLMs). It performs two key functions: running input/output guards to detect and mitigate risks, and generating structured data from LLMs. Guardrails can be integrated with any LLM, providing features such as real-time hallucination detection, validation of generated text for toxicity, truthfulness, and PII compliance, and serving as a standalone service via a REST API. The framework supports streaming validation, structured data generation, and monitoring, enhancing the safety and reliability of AI applications.
open-source Python framework LLM validation AI safety risk mitigation
Developing AI applications with enhanced safety and reliability.
Implementing real-time validation and mitigation of risks in LLM outputs.
Generating structured data from large language models.
Ensuring compliance with ethical guidelines in AI-generated content.
Integrating guardrails into existing AI workflows to prevent undesirable outputs.
Guardrails AI operates as a middleware layer that autonomously validates, corrects, and enforces safety policies on LLM outputs in real-time once configured. It requires initial human setup for guardrail selection/prompt engineering but executes complex validation workflows (semantic checks, PII detection, hallucination prevention) without intervention through its orchestration engine. The system automatically handles validation failures through predefined corrective actions like output filtering or LLM reasking.
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