AWS Bedrock Anthropic Claude

Note: Fork and clone this repository if needed

1. Create and activate a virtual environment

shell

python3 -m venv ~/.venvs/aienv
source ~/.venvs/aienv/bin/activate

2. Export your AWS Credentials

2.A: Leverage Access and Secret Access Keys

shell

export AWS_ACCESS_KEY_ID=***
export AWS_SECRET_ACCESS_KEY=***
export AWS_REGION=***

Alternatively, you can use an AWS profile:

python

import boto3
session = boto3.Session(profile_name='MY-PROFILE')
agent = Agent(
    model=AwsBedrock(id="mistral.mistral-small-2402-v1:0", session=session),
    markdown=True
)

2.B: Leverage AWS SSO Credentials

shell

aws sso login

Leverage sso settings in the AwsBedrock object to leverage the credentials provided by sso

python

import boto3
agent = Agent(
    model=AwsBedrock(id="mistral.mistral-small-2402-v1:0", aws_sso_auth= True),
    markdown=True
)

3. Install libraries

shell

uv pip install -U boto3 ddgs agno

4. Run basic agent

Streaming on

shell

python cookbook/92_models/aws/bedrock/basic_stream.py

Streaming off

shell

python cookbook/92_models/aws/bedrock/basic.py

5. Run Agent with Tools

DuckDuckGo Search

shell

python cookbook/92_models/aws/bedrock/tool_use.py

6. Run Agent that returns structured output

shell

python cookbook/92_models/aws/bedrock/structured_output.py

7. Run Agent that uses storage

shell

python cookbook/92_models/aws/bedrock/storage.py

8. Run Agent that uses knowledge

shell

python cookbook/92_models/aws/bedrock/knowledge.py