**Is your feature request related to a problem? Please describe.** As enterprise adoption of LLMs grows, so does the need for robust, programmable guardrails to ensure output safety, prevent hallucinations, and restrict topic deviation. While LiteLLM currently supports some guardrail providers (like Lakera, Prompt Injection, and Presidio), it lacks native support for **NVIDIA NeMo Guardrails**, which has become an industry standard for open-source, highly customizable guardrails.

Currently, if we want to use NeMo Guardrails with LiteLLM, we have to run NeMo Guardrails as a separate upstream service or wrap LiteLLM calls in custom code. This adds architectural complexity, increases latency, and prevents us from utilizing LiteLLM's native Proxy Server features (like spend tracking, load balancing, and API key management) as the primary entry point.

**Describe the solution you'd like** I would like to see native integration of NVIDIA NeMo Guardrails into LiteLLM, specifically within the **Proxy API Server** and the standard Python library.

Ideally, it would function similarly to existing LiteLLM guardrail integrations, where we can specify a path to the NeMo Guardrails configuratio…