Integrate Bolt.new AI with Trend Micro step-by-step. Boost security and operations by connecting industry-leading AI with advanced protection.
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Since Bolt.new AI doesn’t have a terminal, you must add any external npm packages via your project’s code. To integrate with Trend Micro, you'll need the axios library to send HTTP requests. In your project, locate your package.json file and add the following dependencies section (or update it if you already have one):
{
"dependencies": {
"axios": "^0.27.2"
// Add other dependencies if needed
}
}
Save the package.json file. Bolt.new will automatically install the dependencies based on this file.
In your Bolt.new AI project, create a new TypeScript file called TrendMicroIntegration.ts. This file will contain functions to interact with Trend Micro’s API. Paste the following code inside TrendMicroIntegration.ts:
import axios from 'axios';
const TRENDMICROAPIKEY = process.env.TRENDMICROAPIKEY; // The API key should be set in your environment variables
const TRENDMICROENDPOINT = 'https://api.trendmicro.com/your-endpoint'; // Replace with the actual Trend Micro API endpoint
export async function scanFile(fileContent: Buffer): Promise {
try {
const response = await axios.post(TRENDMICROENDPOINT, fileContent, {
headers: {
'Content-Type': 'application/octet-stream',
'Authorization': Bearer ${TREND_MICRO_API_KEY}
}
});
return response.data;
} catch (error: any) {
throw new Error('Error scanning file: ' + error.message);
}
}
Make sure to update the TRENDMICROENDPOINT variable with the correct API URL provided by Trend Micro. Also, ensure that the environment variable TRENDMICROAPI_KEY is set with your valid API key.
Since Bolt.new AI does not use a terminal, you must set your API keys via the platform’s secrets or environment configuration settings. In your Bolt.new project settings, locate the environment secrets configuration and add a new secret:
This ensures your API key is securely stored and accessible to your TypeScript code via process.env.TRENDMICROAPI_KEY.
In your main project file (for example, if you have a server.ts or main.ts), import the scanFile function from TrendMicroIntegration.ts. Insert the following code snippet in the part of your code where you need to perform the file scan (such as after a file upload):
import { scanFile } from './TrendMicroIntegration';
// Example function to handle a file upload and scan it with Trend Micro
async function handleFileUpload(file: Buffer) {
try {
const scanResult = await scanFile(file);
console.log('Scan result:', scanResult);
// Process the scan result accordingly
} catch (error) {
console.error('File scan failed:', error);
}
}
// Example call with a file buffer (this should be triggered when a file is uploaded)
const exampleFileBuffer: Buffer = Buffer.from('Your file content here', 'utf-8');
handleFileUpload(exampleFileBuffer);
Place this function in the appropriate part of your project logic, ensuring that when a file is uploaded or needs to be scanned, handleFileUpload is invoked with a Buffer representing the file content.
Following these steps will integrate Trend Micro scanning into your Bolt.new AI project using TypeScript.
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