How to beginner · 3 min read

How to enable AWS Bedrock in console

Q: How to enable AWS Bedrock in console

To enable AWS Bedrock in the AWS Management Console, sign in to your AWS account, navigate to the Bedrock service page, and accept the terms to activate it. Once enabled, you can access foundation models via the bedrock-runtime API or SDKs.

Quick answer

To enable AWS Bedrock in the AWS Management Console, sign in to your AWS account, navigate to the Bedrock service page, and accept the terms to activate it. Once enabled, you can access foundation models via the bedrock-runtime API or SDKs.

PREREQUISITES

AWS account with permissions to enable services
AWS CLI installed (optional for CLI usage)
Python 3.8+
boto3 installed (pip install boto3)

Setup

Before enabling AWS Bedrock, ensure you have an AWS account with appropriate permissions. You can optionally install the AWS CLI and boto3 Python SDK for programmatic access.

Install AWS CLI: https://aws.amazon.com/cli/
Install boto3: pip install boto3

bash

pip install boto3

Step by step

To enable AWS Bedrock in the AWS Console:

Sign in to the AWS Management Console.
Search for and select Bedrock in the Services menu.
On the Bedrock landing page, review and accept the terms and conditions to activate the service.
Once enabled, you can start invoking foundation models via the bedrock-runtime API.

Example Python code to call a Bedrock model after enabling:

python

import os
import boto3
import json

# Initialize Bedrock runtime client
client = boto3.client('bedrock-runtime', region_name='us-east-1')

# Prepare messages for the model
messages = [{"role": "user", "content": [{"type": "text", "text": "Hello from AWS Bedrock!"}]}]

# Call the Bedrock model
response = client.converse(
    modelId="anthropic.claude-3-5-sonnet-20241022-v2:0",
    messages=messages
)

# Extract and print the response text
text = response['output']['message']['content'][0]['text']
print(text)

output

Hello from AWS Bedrock! How can I assist you today?

Common variations

You can also invoke Bedrock models using the invoke_model method for raw JSON payloads. Additionally, you can enable Bedrock via AWS CLI once available, or use different foundation models by changing the modelId.

python

import boto3
import json

client = boto3.client('bedrock-runtime', region_name='us-east-1')

body = json.dumps({
    "anthropic_version": "bedrock-2023-05-31",
    "max_tokens": 512,
    "messages": [{"role": "user", "content": "Explain quantum computing"}]
})

response = client.invoke_model(
    modelId="anthropic.claude-3-5-sonnet-20241022-v2:0",
    body=body
)

output = json.loads(response['body'])
print(output['output']['message']['content'][0]['text'])

output

Quantum computing is a type of computation that uses quantum bits or qubits...

Troubleshooting

If you cannot find Bedrock in the AWS Console, verify your account region and permissions.
If API calls fail with authorization errors, ensure your IAM role has bedrock-runtime:InvokeModel permission.
Check that you are using the correct region_name in your boto3 client.

✅

Key Takeaways

Enable AWS Bedrock by accepting terms in the AWS Management Console under the Bedrock service.
Use boto3's bedrock-runtime client to invoke foundation models programmatically.
Ensure IAM permissions and region settings are correct to avoid authorization errors.

Verified 2026-04 · anthropic.claude-3-5-sonnet-20241022-v2:0

Verify ↗