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-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.

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Authentication

Set your AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY and AWS_REGION environment variables.

Get your keys from here.

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

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Example

Use Claude with your Agent:

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

agent = Agent(
    model=Claude(id="anthropic.claude-3-5-sonnet-20240620-v1:0"),
    markdown=True
)

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

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Parameters

ParameterTypeDefaultDescription
idstr"anthropic.claude-3-5-sonnet-20240620-v1:0"The specific model ID used for generating responses.
namestr"AwsBedrockAnthropicClaude"The name identifier for the Claude agent.
providerstr"AwsBedrock"The provider of the model.
clientOptional[AnthropicBedrock]NoneThe client for making requests to the Anthropic Bedrock service.
async_clientOptional[AsyncAnthropicBedrock]NoneThe asynchronous client for making requests to the Anthropic Bedrock service.
max_tokensint4096The maximum number of tokens to generate in the response.
temperatureOptional[float]"None"The sampling temperature to use, between 0 and 2. Higher values like 0.8 make the output more random, while lower values like 0.2 make it more focused and deterministic.
top_pOptional[float]"None"The nucleus sampling parameter. The model considers the results of the tokens with top_p probability mass.
top_kOptional[int]"None"The number of highest probability vocabulary tokens to keep for top-k-filtering.
stop_sequencesOptional[List[str]]"None"A list of sequences where the API will stop generating further tokens.
request_paramsOptional[Dict[str, Any]]"None"Additional parameters for the request, provided as a dictionary.
client_paramsOptional[Dict[str, Any]]"None"Additional client parameters for initializing the AwsBedrock client, provided as a dictionary.

Claude is a subclass of AnthropicClaude and has access to the same params.

AWS BedrockAzure AI Foundry