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
Set yourAWS_ACCESS_KEY_ID
, AWS_SECRET_ACCESS_KEY
and AWS_REGION
environment variables.
Get your keys from here.
Example
UseClaude
with your Agent
:
View more examples here.
Parameters
Parameter | Type | Default | Description |
---|---|---|---|
id | str | "anthropic.claude-3-5-sonnet-20240620-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 |
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.