---
title: "Google Cloud Model Armor"
description: "import Image from '@theme/IdealImage'; import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';"
type: skill
canonical_url: https://claudary.paisolsolutions.com/skills/model-armor
source: "Claudary"
difficulty: intermediate
author: "Claude Code Knowledge Pack"
date: 2026-07-10T11:31:07.725Z
license: CC-BY-4.0
attribution: "Google Cloud Model Armor — Claudary (https://claudary.paisolsolutions.com/skills/model-armor)"
---

# Google Cloud Model Armor
import Image from '@theme/IdealImage'; import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';

## Overview

import Image from '@theme/IdealImage';
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';

# Google Cloud Model Armor

LiteLLM supports Google Cloud Model Armor guardrails via the [Model Armor API](https://cloud.google.com/security-command-center/docs/model-armor-overview). 


## Supported Guardrails

- [Model Armor Templates](https://cloud.google.com/security-command-center/docs/manage-model-armor-templates) - Content sanitization and blocking based on configured templates

## Quick Start
### 1. Define Guardrails on your LiteLLM config.yaml 

Define your guardrails under the `guardrails` section

```yaml
model_list:
  - model_name: gpt-3.5-turbo
    litellm_params:
      model: openai/gpt-3.5-turbo
      api_key: os.environ/OPENAI_API_KEY

guardrails:
  - guardrail_name: model-armor-shield
    litellm_params:
      guardrail: model_armor
      mode: [pre_call, post_call]  # Run on both input and output
      template_id: "your-template-id"  # Required: Your Model Armor template ID
      project_id: "your-project-id"    # Your GCP project ID
      location: "us-central1"          # GCP location (default: us-central1)
      credentials: "path/to/credentials.json"  # Path to service account key
      mask_request_content: true       # Enable request content masking
      mask_response_content: true      # Enable response content masking
      fail_on_error: true             # Fail request if Model Armor errors (default: true)
      default_on: true                # Run by default for all requests
```

#### Supported values for `mode`

- `pre_call` Run **before** LLM call, on **input**
- `post_call` Run **after** LLM call, on **input & output**

### 2. Start LiteLLM Gateway 


```shell
litellm --config config.yaml --detailed_debug
```

### 3. Test request 

**[Langchain, OpenAI SDK Usage Examples](../proxy/user_keys#request-format)**

```shell
curl -i http://localhost:4000/v1/chat/completions \\
  -H "Content-Type: application/json" \\
  -H "Authorization: Bearer sk-npnwjPQciVRok5yNZgKmFQ" \\
  -d '{
    "model": "gpt-3.5-turbo",
    "messages": [
      {"role": "user", "content": "Hi, my email is test@example.com"}
    ],
    "guardrails": ["model-armor-shield"]
  }'
```

## Supported Params 

### Common Params

- `api_key` - str - Google Cloud service account credentials (optional if using ADC)
- `api_base` - str - Custom Model Armor API endpoint (optional)
- `default_on` - bool - Whether to run the guardrail by default. Default is `false`.
- `mode` - Union[str, list[str]] - Mode to run the guardrail. Either `pre_call` or `post_call`. Default is `pre_call`.

### Model Armor Specific

- `template_id` - str - The ID of your Model Armor template (required)
- `project_id` - str - Google Cloud project ID (defaults to credentials project)
- `location` - str - Google Cloud location/region. Default is `us-central1`
- `credentials` - Union[str, dict] - Path to service account JSON file or credentials dictionary
- `api_endpoint` - str - Custom API endpoint for Model Armor (optional)
- `fail_on_error` - bool - Whether to fail requests if Model Armor encounters errors. Default is `true`
- `mask_request_content` - bool - Enable masking of sensitive content in requests. Default is `false`
- `mask_response_content` - bool - Enable masking of sensitive content in responses. Default is `false`


## Further Reading

- [Control Guardrails per API Key](./quick_start#-control-guardrails-per-api-key)

---

Source: [Claudary](https://claudary.paisolsolutions.com/skills/model-armor) · https://claudary.paisolsolutions.com