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AWS Bedrock Configuration

Overview​

This guide explains how to enable AWS Bedrock foundation models in your AWS account for use with AI/Run CodeMie. AWS Bedrock provides access to high-performance foundation models from Anthropic (Claude), Amazon (Titan), etc.

When to Use This Guide

This configuration is required if you plan to use AWS Bedrock models such as Anthropic Claude, Amazon Titan, or other foundation models available through AWS Bedrock.

Prerequisites​

Before starting, ensure you have:

  • AWS Account: Active AWS account with appropriate permissions
  • IAM Permissions: Ability to manage Bedrock model access
Model Access Approval

Some foundation models require approval before use. The approval process is typically instant for most models, but some providers may require additional review.

Step 1: Access AWS Bedrock Console​

1.1 Sign in to AWS Console​

  1. Go to AWS Management Console
  2. Sign in with your AWS credentials
  3. Ensure you're in the correct AWS region (top-right corner)

1.2 Navigate to AWS Bedrock​

  1. In the AWS Console search bar, type "Bedrock"
  2. Select Amazon Bedrock from the results
  3. The Bedrock console will open
Region Selection

Choose a region that:

  • Supports the models you need
  • Is close to your users for lower latency
  • Meets your data residency requirements

Step 2: Request Model Access​

2.1 Navigate to Model Access​

  1. In the Bedrock console left navigation, click Model access
  2. You'll see a table listing all available foundation models
  3. Models are grouped by provider (Anthropic, Amazon, etc.)

2.2 Request Access to Models​

  1. Review the list of available models
  2. Identify models you want to use
  3. Select models by checking the checkbox next to each model name
  4. Click Request model access or Modify model access

Recommended Models for AI/Run CodeMie:

ProviderModelUse Case
AnthropicClaude 4.5 SonnetPrimary chat, reasoning, code generation
AnthropicClaude 4.5 OpusComplex reasoning, large context tasks
AmazonTitan EmbeddingsText embeddings for RAG

Regional Considerations​

Cross-Region Model Availability​

Different models are available in different AWS regions. Not all foundation models are accessible in every region.

Before requesting access:

  1. Verify model availability in your target region
  2. Check AWS Bedrock Model Availability
  3. Consider data residency and compliance requirements

Quota and Limits​

Understanding Quotas​

AWS Bedrock has quotas for:

  • Requests per minute: Limits on API call frequency
  • Tokens per minute: Limits on token processing
  • Model-specific limits: Vary by model and region

Requesting Quota Increases​

  1. Go to AWS Service Quotas console
  2. Search for "Bedrock"
  3. Select the quota you need to increase
  4. Click Request quota increase
  5. Provide justification and desired limit
  6. Submit request (typically approved within 2-7 days)