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Usage

Bodyguard can be integrated in three ways:

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1. HTTP Server

Deploy Bodyguard as a standalone service that other applications can query: 
# GET request
curl "https://ai.civic.com/bodyguard/check?prompt=Your%20prompt%20here"

# POST request
curl -X POST https://ai.civic.com/bodyguard/check \
  -H "X-API-Key: your_api_key_here"
  -H "Content-Type: application/json" \
  -d '{"prompt":"Your prompt here"}'

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2. Client Library

Integrate directly into your application: 
import { check } from '@civic/bodyguard';

const { result, threatScore, findings } = await check('User prompt here', {
  threshold: 0.5 // Fail if threat score > 0.5
});

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3. CLI Tool

bodyguard "Analyze this prompt for threats"

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4. MCP Hooks

Bodyguard can be used as a middleware hook for MCP servers, analyzing prompts before they reach the LLM: 
"mcpServers": {
  "my-mcp-server": {
    "command": "passthrough-mcp-server",
    "env": [
      "TARGET_SERVER_URL", "https://my-mcp-server",
      "HOOKS", "https://ai.civic.com/bodyguard/hook?threshold=0.7"
    ]
  }
}
For more details on the passthrough proxy, see the Pass-through Proxy documentation.

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Docker Deployment

Docker images are available for easy deployment. Contact us to get access to the Docker images on AWS ECR.

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Resources

For more information and access, please contact us.