guardrails-plugin

Content moderation for AI chat completions is implemented by attaching middleware guardrails to virtual models, intercepting and evaluating both user prompts and model responses to block harmful or inappropriate content.

Input and output guardrailing is a middleware mechanism that enforces safety policies on chat completions, preventing jailbreaking, profanity, or sensitive data leakage before traffic reaches the user or the model.

You validate guardrail configurations by using a dedicated standalone check endpoint to evaluate messages and ensure policy effectiveness before attaching the safety middleware to production chat traffic.

Yes, you can configure policy-driven response filtering to automatically block any chatbot output containing competitor mentions or unauthorized financial advice, ensuring brand safety and regulatory compliance.

Yes, the NeMo Inference Gateway manages the lifecycle of guardrail configurations and supports attaching safety middleware directly to virtual models for production-grade agent safety and compliance.