AWS Claude

Use Claude models through AWS Bedrock with Agno agents.

Use Claude models through AWS Bedrock. This provides a native Claude integration optimized for AWS infrastructure.

We recommend experimenting to find the best-suited model for your use-case. Here are some general recommendations:

• anthropic.claude-sonnet-4-20250514-v1:0 model is their most capable model (Claude Sonnet 4).
• anthropic.claude-3-5-sonnet-20241022-v2:0 model is good for most use-cases and supports image input.
• anthropic.claude-3-5-haiku-20241022-v2:0 model is their fastest model.

Authentication

AWS Claude supports three authentication methods:

Method 1: API Key Authentication (Recommended)

Use the AWS Bedrock API key for simplified authentication:

Mac

export AWS_BEDROCK_API_KEY=***
export AWS_REGION=***

setx AWS_BEDROCK_API_KEY ***
setx AWS_REGION ***

Or pass them directly to the model:

from agno.agent import Agent
from agno.models.aws import Claude

agent = Agent(
    model=Claude(
        id="us.anthropic.claude-sonnet-4-20250514-v1:0",
        api_key="your-api-key",
        aws_region="us-east-1"
    )
)

Method 2: Access Key and Secret Key

Set your AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY and AWS_REGION environment variables.

Get your keys from here.

Mac

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

setx AWS_ACCESS_KEY_ID ***
setx AWS_SECRET_ACCESS_KEY ***
setx AWS_REGION ***

Or pass them directly:

from agno.agent import Agent
from agno.models.aws import Claude

agent = Agent(
    model=Claude(
        id="us.anthropic.claude-sonnet-4-20250514-v1:0",
        aws_access_key="your-access-key",
        aws_secret_key="your-secret-key",
        aws_region="us-east-1"
    )
)

Method 3: Boto3 Session

Use a pre-configured boto3 Session for advanced authentication scenarios:

from boto3.session import Session
from agno.agent import Agent
from agno.models.aws import Claude

# Create a boto3 session with your preferred authentication
session = Session(
    aws_access_key_id="your-access-key",
    aws_secret_access_key="your-secret-key",
    region_name="us-east-1"
)

agent = Agent(
    model=Claude(
        id="us.anthropic.claude-sonnet-4-20250514-v1:0",
        session=session
    )
)

The authentication methods are checked in this order: Session → API Key → Access Key/Secret Key. The first available method will be used.

Example

Use Claude with your Agent:

agent.py

from agno.agent import Agent
from agno.models.aws import Claude

agent = Agent(
    model=Claude(id="us.anthropic.claude-sonnet-4-20250514-v1:0"),
    markdown=True
)

# Print the response on the terminal
agent.print_response("Share a 2 sentence horror story.")

View more examples here.

Parameters

Parameter	Type	Default	Description
id	str	"anthropic.claude-sonnet-4-20250514-v1:0"	The specific AWS Bedrock Claude model ID to use
name	str	"AwsBedrockAnthropicClaude"	The name identifier for the AWS Bedrock Claude model
provider	str	"AwsBedrock"	The provider of the model
api_key	Optional[str]	None	The AWS Bedrock API key for authentication (defaults to AWS_BEDROCK_API_KEY env var)
aws_access_key	Optional[str]	None	The AWS access key to use (defaults to AWS_ACCESS_KEY env var)
aws_secret_key	Optional[str]	None	The AWS secret key to use (defaults to AWS_SECRET_KEY env var)
aws_region	Optional[str]	None	The AWS region to use (defaults to AWS_REGION env var)
session	Optional[Session]	None	A boto3 Session object to use for authentication
max_tokens	int	4096	Maximum number of tokens to generate in the chat completion
temperature	Optional[float]	None	Controls randomness in the model’s output
top_p	Optional[float]	None	Controls diversity via nucleus sampling
top_k	Optional[int]	None	Controls diversity via top-k sampling
stop_sequences	Optional[List[str]]	None	A list of strings that the model should stop generating text at
request_params	Optional[Dict[str, Any]]	None	Additional parameters to include in the request
client_params	Optional[Dict[str, Any]]	None	Additional parameters for client configuration

Claude (AWS) extends the Anthropic Claude model with AWS Bedrock integration and has access to most of the same parameters.