Integrate the NeMo Guardrails Library into Your Application

If you have an existing application, you can integrate NeMo Guardrails into it using the NeMo Guardrails library.

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Integrate Guardrails into LLM-based Applications

The NeMo Guardrails library can be integrated into applications in multiple ways:

1. Python SDK integration: 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=[...])
   

2. LangChain integration: 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.

3. HTTP API integration: Use the guardrails server to add protection to applications in any programming language.

   nemoguardrails server --config path/to/configs
   

   For more information, refer to the Server Guide.

4. Docker deployment: Deploy guardrails as a containerized service. For more information, refer to the Using Docker Guide.

For complete examples and detailed integration patterns, refer to the examples directory in the GitHub repository.