NeMo Guardrails integration into NIM Blueprint

Signed-off-by: Aditi Bodhankar <[email protected]>

docs/user_guides/advanced/safeguarding-ai-virtual-assistant-blueprint.md

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+# Safeguarding AI Virtual Assistant NIM Blueprint with NVIDIA NeMo Guardrails and NemoGuard NIMs
+
+**NOTE: this documentation is intended for developers that want to integrate NeMo Guardrails into [NVIDIA Blueprints](https://build.nvidia.com/blueprints)**
+
+NVIDIA Blueprints are comprehensive reference workflows that accelerate AI application development and deployment. They make it easy to start building and setting up virtual assistants, offering ready-made workflows and tools. Whether you need a simple AI-powered chatbot or a fully animated digital human interface, NVIDIA provides resources to help you create an AI assistant that’s scalable and aligned with your brand. For example, developers can use the **[NVIDIA AI Blueprint for AI virtual assistants](https://build.nvidia.com/nvidia/ai-virtual-assistant-for-customer-service)** to build an AI assistant for customer service for delivering a responsive, efficient customer support experience.
+
+
+## Prerequisites and Setup
+
+### NVIDIA Blueprint
+
+The NVIDIA Blueprint for AI virtual assistants can be deployed either with the NVIDIA-hosted endpoints or with locally hosted NIM microservices. To get started with the deployment:
+- **[Using the NVIDIA-hosted endpoint](https://build.nvidia.com/nvidia/ai-virtual-assistant-for-customer-service)**: The launchable opens to a jupyter notebook - `ai-virtual-assitant-notebook.ipynb`. Make sure that the [compute requirements](https://github.com/NVIDIA-AI-Blueprints/ai-virtual-assistant?tab=readme-ov-file#hardware-requirements) are satisfied
+
+### Integrating NemoGuard
+
+First create a `nemoguardrails.yaml` file at `ai-virtual-assistant/deploy/compose` directory to download and initialize NeMo Guardrails toolkit. Make sure it has the following content in it. You can change the port as per your requirement.
+
+```
+services:
+  nemoguardrails:
+    build:
+      context: ../../../nemoguardrails  # Path to the cloned repository
+      dockerfile: Dockerfile
+    container_name: nemoguardrails
+    runtime: nvidia
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    environment:
+      NGC_API_KEY: ${NGC_API_KEY}  # NVIDIA GPU Cloud API Key
+    ports:
+      - "8650:8650"  # Map container port 8000 to host port 8000
+      - "8000:8000"
+    user: "${USER_ID:-1000}:${GROUP_ID:-1000}"  # Use the current user's UID/GID
+    command: >
+      bash -c "
+      export OPENAI_API_KEY=${OPENAI_API_KEY} &&
+      cd nemoguardrails
+      pip install --no-cache-dir -e .[all]
+      "
+
+```
+
+Follow the notebook from - `nemoguardrails/examples/notebooks/safeguard_ai_virtual_assistant_notebook.ipynb` to deploy the NemoGuard NIM using downloadable containers and learn to step by step integrate it into the NIM blueprint
+
+### NIM Blueprint API Usage
+Use the `ai-virtual-assistant/notebooks/api_usage.ipynb` to run the blueprint api to see the agent response