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from phi.agent import Agent
from phi.model.aws.claude import Claude

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

agent.print_response("What is the stock price of NVDA and TSLA")

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AWS Bedrock Params

ParameterTypeDefaultDescription
idstr"anthropic.claude-3-sonnet-20240229-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.
max_tokensint4096The maximum number of tokens to generate in the response.
temperatureOptional[float]-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]-The nucleus sampling parameter. The model considers the results of the tokens with top_p probability mass.
top_kOptional[int]-The number of highest probability vocabulary tokens to keep for top-k-filtering.
stop_sequencesOptional[List[str]]-A list of sequences where the API will stop generating further tokens.
anthropic_versionstr"bedrock-2023-05-31"The version of the Anthropic API to use.
request_paramsOptional[Dict[str, Any]]-Additional parameters for the request, provided as a dictionary.
client_paramsOptional[Dict[str, Any]]-Additional client parameters for initializing the AwsBedrock client, provided as a dictionary.
AwsBedrock is a subclass of the Model class and has access to the same params.