AWS Bedrock Integration with Bwat

This guide provides step-by-step instructions for configuring AWS Bedrock with the Bwat VS Code extension using secure credential authentication. Learn how to set up your AWS environment, verify regional access, and establish a secure connection.

Key Components

• AWS Bedrock: A managed service providing access to leading AI models (Claude, Titan, etc.) through AWS infrastructure.

• AWS Bedrock Documentation: AWS Bedrock Docs (opens in a new tab)

• Bwat: A VS Code extension that enhances developer productivity through AI-powered code generation and analysis.

• Enterprise Security Focus: Designed for organizations using IAM roles, AWS SSO, and other enterprise security measures.

Step 1: Configure AWS Environment

1.1 Set Up IAM Access

Access AWS Console:

1. Login to your AWS Management Console (opens in a new tab)
2. Navigate to IAM:
   • Search for IAM in AWS services
   • Create a new IAM user or use existing AWS SSO role
   • IAM User Guide (opens in a new tab)

1.2 Apply Security Policies

Attach Bedrock Policy:

• Apply AmazonBedrockFullAccess policy to your role/user
• Policy Details (opens in a new tab)

Refine Permissions:

• Include bedrock:InvokeModel and related permissions
• For enterprises: Use Service Control Policies (SCPs) for granular access control

Step 2: Verify Bedrock Access

2.1 Select AWS Region

Choose Deployment Region:

• Select from available regions based on latency/compliance needs
• AWS Regions (opens in a new tab)

Check Model Availability:

• Confirm required models show "Access granted" in Bedrock console
• Note: Some models may require Inference Profiles

2.2 Manage Marketplace Subscriptions

Subscribe to Models:

• Access Bedrock console's model subscription section
• Accept terms for third-party models (e.g., Anthropic)

Enterprise Consideration:

• Coordinate with cloud team for centralized model subscriptions

Step 3: Configure Bwat Extension

3.1 Install Bwat

Get VS Code:

• Download from VS Code website (opens in a new tab)

Add Bwat Extension:

1. Open Extensions view (Ctrl+Shift+X)
2. Search for Bwat and install

3.2 Set Up AWS Integration

Access Bwat Settings:

1. Open settings (⚙️ icon)
2. Select API Provider

Configure AWS Bedrock:

1. Choose AWS Bedrock as provider
2. Enter AWS credentials (Access/Secret keys)
3. Specify AWS region (e.g., us-east-1)
4. Select model (e.g., Claude 3 Sonnet)

Test Connection:

1. Save settings
2. Verify with test prompt (e.g., "Write Python code for prime number check")

Step 4: Security & Operations

Access Management:

• Prefer temporary credentials via AWS SSO
• Follow IAM best practices

Network Protection:

• Consider AWS PrivateLink for secure connectivity

Monitoring:

• Enable CloudTrail for API logging
• Set up CloudWatch metrics/alerts

Cost Control:

• Monitor usage via AWS Cost Explorer
• Implement billing alerts

Implementation Summary

1. AWS Setup: Configure IAM roles with appropriate Bedrock permissions
2. Access Verification: Confirm regional model availability
3. Bwat Configuration: Install extension and connect to Bedrock
4. Security Operations: Implement monitoring and cost controls

For ongoing updates, refer to AWS Bedrock docs (opens in a new tab) and coordinate with your cloud team.