integrate-into-application.md

title	page nav Integrate Guardrails into Your Application Integrate Guardrails
description	Add guardrails to existing applications using the Python SDK, LangChain, or HTTP API.
topics	Get Started AI Safety
tags	Integration Python LangChain SDK API
content	type difficulty audience how_to technical_beginner engineer AI Engineer

Integrate Guardrails into Your Application

The NeMo Guardrails library provides the following tools to integrate guardrails into your applications.

• Use the NeMo Guardrails Python SDK to add guardrails directly into your Python application.

  from nemoguardrails import LLMRails, RailsConfig
  
  config = RailsConfig.from_path("path/to/config")
  rails = LLMRails(config)
  
  # Use in your application
  response = rails.generate(messages=[...])

• Use the NeMo Guardrails LangChain integration capabilities to wrap guardrails around LangChain chains or use chains within guardrails.

  from nemoguardrails.integrations.langchain.runnable_rails import RunnableRails
  
  guardrails = RunnableRails(config)
  chain_with_guardrails = prompt | guardrails | model | output_parser

  For more information, refer to the LangChain Integration Guide.

• Integrate the NeMo Guardrails API server into your application to add protection to applications in any programming language.

  nemoguardrails server --config path/to/configs

  You can then use the API server in your application by sending requests to the server's endpoint.

  curl -X POST http://localhost:8000/v1/chat/completions \
    -H "Content-Type: application/json" \
    -d '{
      "config_id": "content_safety",
      "messages": [{"role": "user", "content": "Hello!"}]
    }'

  For more information, refer to .

• Use the NeMo Guardrails Docker deployment capabilities to deploy guardrails as a containerized service. For more information, refer to .

For more examples and detailed integration patterns, refer to the examples directory in the NeMo Guardrails GitHub repository.