NeMo Guardrails — контроль поведения LLM-приложений

NeMo Guardrails is an open-source toolkit from NVIDIA for adding programmable guardrails to LLM-based applications. Reach for it when you need to make an AI assistant's behavior safe and predictable: define rules about what the bot may and may not talk about, keep the dialogue on topic, block undesirable or unsafe responses, prevent it from being steered off its instructions, and validate outputs — describing these policies declaratively on top of your model. Its focus is a safety and behavior-control layer for LLM applications (guardrails), not the assistant itself or a quality-evaluation system (langfuse/deepeval): the value is keeping an AI bot within defined safety and topic bounds. It suits teams shipping LLM applications to production that want to controllably constrain and safeguard their behavior.