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Amazon bedrock prompt driver

AmazonBedrockPromptDriver

Bases: BaseMultiModelPromptDriver

Source code in griptape/griptape/drivers/prompt/amazon_bedrock_prompt_driver.py 
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@define
class AmazonBedrockPromptDriver(BaseMultiModelPromptDriver):
    session: boto3.Session = field(default=Factory(lambda: import_optional_dependency("boto3").Session()), kw_only=True)
    bedrock_client: Any = field(
        default=Factory(lambda self: self.session.client("bedrock-runtime"), takes_self=True), kw_only=True
    )

    def try_run(self, prompt_stack: PromptStack) -> TextArtifact:
        model_input = self.prompt_model_driver.prompt_stack_to_model_input(prompt_stack)
        payload = {**self.prompt_model_driver.prompt_stack_to_model_params(prompt_stack)}
        if isinstance(model_input, dict):
            payload.update(model_input)

        response = self.bedrock_client.invoke_model(
            modelId=self.model, contentType="application/json", accept="application/json", body=json.dumps(payload)
        )

        response_body = response["body"].read()

        if response_body:
            return self.prompt_model_driver.process_output(response_body)
        else:
            raise Exception("model response is empty")

    def try_stream(self, prompt_stack: PromptStack) -> Iterator[TextArtifact]:
        model_input = self.prompt_model_driver.prompt_stack_to_model_input(prompt_stack)
        payload = {**self.prompt_model_driver.prompt_stack_to_model_params(prompt_stack)}
        if isinstance(model_input, dict):
            payload.update(model_input)

        response = self.bedrock_client.invoke_model_with_response_stream(
            modelId=self.model, contentType="application/json", accept="application/json", body=json.dumps(payload)
        )

        response_body = response["body"]
        if response_body:
            for chunk in response["body"]:
                chunk_bytes = chunk["chunk"]["bytes"]
                yield self.prompt_model_driver.process_output(chunk_bytes)
        else:
            raise Exception("model response is empty")

bedrock_client: Any = field(default=Factory(lambda : self.session.client('bedrock-runtime'), takes_self=True), kw_only=True) class-attribute instance-attribute

session: boto3.Session = field(default=Factory(lambda : import_optional_dependency('boto3').Session()), kw_only=True) class-attribute instance-attribute

try_run(prompt_stack)

Source code in griptape/griptape/drivers/prompt/amazon_bedrock_prompt_driver.py 
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def try_run(self, prompt_stack: PromptStack) -> TextArtifact:
    model_input = self.prompt_model_driver.prompt_stack_to_model_input(prompt_stack)
    payload = {**self.prompt_model_driver.prompt_stack_to_model_params(prompt_stack)}
    if isinstance(model_input, dict):
        payload.update(model_input)

    response = self.bedrock_client.invoke_model(
        modelId=self.model, contentType="application/json", accept="application/json", body=json.dumps(payload)
    )

    response_body = response["body"].read()

    if response_body:
        return self.prompt_model_driver.process_output(response_body)
    else:
        raise Exception("model response is empty")

try_stream(prompt_stack)

Source code in griptape/griptape/drivers/prompt/amazon_bedrock_prompt_driver.py 
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def try_stream(self, prompt_stack: PromptStack) -> Iterator[TextArtifact]:
    model_input = self.prompt_model_driver.prompt_stack_to_model_input(prompt_stack)
    payload = {**self.prompt_model_driver.prompt_stack_to_model_params(prompt_stack)}
    if isinstance(model_input, dict):
        payload.update(model_input)

    response = self.bedrock_client.invoke_model_with_response_stream(
        modelId=self.model, contentType="application/json", accept="application/json", body=json.dumps(payload)
    )

    response_body = response["body"]
    if response_body:
        for chunk in response["body"]:
            chunk_bytes = chunk["chunk"]["bytes"]
            yield self.prompt_model_driver.process_output(chunk_bytes)
    else:
        raise Exception("model response is empty")