Bolt.new AI and AWS S3 integration: Step-by-Step Guide 2025

 

Setting Up AWS Credentials in Bolt.new AI

 

• Log into your Bolt.new AI project dashboard.
• Navigate to the settings or environment variables section (often labeled Secrets).
• Add the following secrets:
  • AWSACCESSKEY_ID
  • AWSSECRETACCESS_KEY
  • AWS_REGION (e.g., us-east-1)
  • S3_BUCKET (your S3 bucket name)
• These secrets will provide your application with the necessary credentials to interact with AWS S3.

 

Creating a New File for AWS S3 Integration

 

• Within your Bolt.new AI project file explorer, create a new file named awsS3.ts.
• This file will encapsulate all functions related to AWS S3 operations.

 

Adding AWS SDK Dependency via Code

 

• Since Bolt.new AI doesn’t provide a terminal to run commands, you need to inject dependencies via your code.
• Add the dependency information in your project’s configuration (for example, in a file like package.json if available) or include a script tag if the platform supports it.
• If you have a package.json file, add:

  
  {
    "dependencies": {
      "aws-sdk": "^2.1370.0"
    }
  }
      

• If you cannot modify the package.json file directly, please check Bolt.new AI documentation for adding external packages.

 

Implementing AWS S3 Functions in awsS3.ts

 

• Insert the following code snippet into awsS3.ts:

• 
  import AWS from 'aws-sdk';
  
  const s3 = new AWS.S3({
    accessKeyId: process.env.AWSACCESSKEY_ID,
    secretAccessKey: process.env.AWSSECRETACCESS_KEY,
    region: process.env.AWS_REGION
  });
  export interface UploadParams {
    Bucket: string;
    Key: string;
    Body: Buffer | Uint8Array | Blob | string;
    ACL?: string;
  }
  export const uploadFile = async (params: UploadParams): Promise<AWS.S3.ManagedUpload.SendData> => {
    try {
      const uploadResult = await s3.upload(params).promise();
      console.log('Upload successful:', uploadResult);
      return uploadResult;
    } catch (error) {
      console.error('Error during S3 upload:', error);
      throw error;
    }
  };
        

  
  




• This code imports the AWS SDK, initializes an S3 client using your environment variables, and exports a function uploadFile to handle file uploads.

 

Integrating AWS S3 Functionality in Your Main Code

 

• Open your main file (for example, index.ts or another appropriate entry point).
• Import the uploadFile function so you can use it within your project:

• 
  import { uploadFile, UploadParams } from './awsS3';
        

• When you need to upload a file to S3 (for instance, when processing user data or saving generated content), create an UploadParams object and call uploadFile:

• 
  // Example usage in your main file
  const fileContent = 'This is the content of the file.';
  const params: UploadParams = {
    Bucket: process.env.S3_BUCKET!,  // using the S3 bucket from your environment variables
    Key: 'folder/yourfile.txt',        // the path and name where the file will be stored
    Body: fileContent,
    ACL: 'public-read'                 // optional: set file permissions
  };
  
  uploadFile(params)
    .then(result => {
      console.log('File uploaded successfully:', result);
    })
    .catch(error => {
      console.error('Upload error:', error);
    });
        

  
  




• This example demonstrates how to prepare file content, define S3 upload parameters, and invoke the upload function.

 

Final Testing and Deployment

 

• Save all changes in Bolt.new AI.
• Click the Run button to start your project.
• Monitor your project logs to confirm that the AWS S3 integration is working and that files are being uploaded as expected.
• If errors appear, double-check your environment variables, file paths, and AWS S3 bucket permissions.