Amazon Bedrock - profClaw

AWS Bedrock provides managed access to foundation models from Anthropic, Meta, Amazon, and others. It integrates with AWS IAM, VPC, CloudWatch, and other AWS services for enterprise deployments.

Supported Models

Model	Bedrock ID	Provider	Notes
Claude Sonnet 3.5 v2	`anthropic.claude-3-5-sonnet-20241022-v2:0`	Anthropic	Default
Claude Haiku 3.5	`anthropic.claude-3-5-haiku-20241022-v1:0`	Anthropic	Fast/cheap
Llama 3.1 70B	`meta.llama3-1-70b-instruct-v1:0`	Meta	Open-source
Titan Text G1	`amazon.titan-text-express-v1`	Amazon	Native AWS

Setup

Enable models in AWS Console

Go to AWS Console > Bedrock > Model access and request access to the models you need.

Create IAM credentials

Create an IAM user or role with the AmazonBedrockFullAccess policy (or a scoped policy for specific models).

Set environment variables

export AWS_ACCESS_KEY_ID=AKIA...
export AWS_SECRET_ACCESS_KEY=...
export AWS_REGION=us-east-1

Or use an IAM role (EC2 instance profile, ECS task role, etc.) - no keys needed.

Configure profClaw

# profClaw auto-detects AWS credentials from environment
profclaw config provider add bedrock
profclaw doctor --provider bedrock

Environment Variables

string

AWS access key ID. Not needed when using IAM roles.

string

AWS secret access key. Not needed when using IAM roles.

string

AWS region where your Bedrock models are available (e.g., us-east-1, eu-west-1). Defaults to us-east-1.

string

Temporary session token for STS-based credentials.

Configuration Example

.env (IAM user)
IAM Role (EC2/ECS)
settings.yml

AWS_ACCESS_KEY_ID=AKIAIOSFODNN7EXAMPLE
AWS_SECRET_ACCESS_KEY=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
AWS_REGION=us-east-1

# No credentials needed - profClaw uses the instance/task role
AWS_REGION=us-east-1

providers:
  bedrock:
    region: "${AWS_REGION}"
    # API keys not needed if using IAM roles

Model Aliases

Alias	Bedrock Model ID
`bedrock`	anthropic.claude-3-5-sonnet-20241022-v2:0
`bedrock-haiku`	anthropic.claude-3-5-haiku-20241022-v1:0
`bedrock-llama`	meta.llama3-1-70b-instruct-v1:0

Usage Examples

profclaw chat --model bedrock "Review this security policy"
profclaw chat --model bedrock-haiku "Quick summarization task"
profclaw chat --model bedrock-llama "Open-source model analysis"

# Use any Bedrock model directly
profclaw chat --model bedrock/amazon.titan-text-express-v1 "Hello"

import { chat } from 'profclaw';

const response = await chat("Analyze this CloudFormation template", {
  model: "bedrock",
});

Notes

Bedrock is stable and recommended for enterprise AWS-native deployments.
Bedrock pricing is per-token, similar to direct API pricing, plus AWS fees.
Supports VPC endpoints for fully private traffic (no internet required).
Use AWS SCP (Service Control Policies) to restrict which models are accessible.
Cross-region inference is supported - specify a different region per request if needed.

AI Providers Overview - Compare all 37 supported providers
Azure OpenAI - Microsoft Azure alternative for enterprise
Anthropic - Direct Anthropic API for lower complexity
profclaw provider - Add and test providers from the CLI

​Supported Models

​Setup

​Environment Variables

​Configuration Example

​Model Aliases

​Usage Examples

​Notes

​Related

Supported Models

Setup

Environment Variables

Configuration Example

Model Aliases

Usage Examples

Notes

Related