# How to wear Model Armor 2: Integrating with ADK and LangChain

> Source: <https://leoy.blog/posts/how-to-wear-model-armor-2/>
> Published: 2026-05-02 05:04:05+00:00

The [first post](https://leoy.blog/posts/how-to-wear-model-armor-1/) about **Model Armor**, explored the fundamentals of Google Cloud’s managed security service for Generative AI applications, which provides a model-agnostic defense layer to sanitize both prompts and model responses.

It covered the two primary patterns for integrating Model Armor into your stack:

And it walked through the practical configuration of these integrations using gcloud CLI and Terraform, establishing a secure baseline for your GenAI pipelines. In this post I shift my focus to examine how direct invocation works in practice. I will review the methods of interpreting sanitize API responses and incorporating the API calls in two agent frameworks: LangChain ‒ probably the most widespread framework today for implementing agentic workflows and the Agent Development Kit (ADK) which I personally prefer for its simplicity.