get_inference_profile ¶

def get_inference_profile(
    self,
    inference_profile_identifier: "capo_bedrock.types.inference_profile_identifier.InferenceProfileIdentifier",
    *,
    config_overrides: Optional[BedrockClientConfig] = None,
) -> (
    "capo_bedrock.types.get_inference_profile_response.GetInferenceProfileResponse"
):
    """<p>Gets information about an inference profile. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference.html">Increase throughput and resilience with cross-region inference in Amazon Bedrock</a>. in the Amazon Bedrock User Guide.</p>

    Args:
        inference_profile_identifier: <p>The ID or Amazon Resource Name (ARN) of the inference profile.</p>

    Raises:
        capo_bedrock.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions.</p>
        capo_bedrock.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_bedrock.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.</p>
        capo_bedrock.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
        capo_bedrock.errors.validation_exception.ValidationException: <p>Input validation failed. Check your request parameters and retry the request.</p>
        capo_bedrock.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_bedrock.types.get_inference_profile_request.GetInferenceProfileRequest]",
    ) -> OperationResponse[
        "capo_bedrock.types.get_inference_profile_response.GetInferenceProfileResponse"
    ]:
        import capo_bedrock._operations.amazon_bedrock_control_plane_service.get_inference_profile

        output, http_response = (
            capo_bedrock._operations.amazon_bedrock_control_plane_service.get_inference_profile.get_inference_profile(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_bedrock.types.get_inference_profile_response.GetInferenceProfileResponse",
    ) -> dict[str, Any]:
        import capo_bedrock.types.get_inference_profile_response

        return capo_bedrock.types.get_inference_profile_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("GetInferenceProfile", redact_output=_redact_output),
    )
    input_: capo_bedrock.types.get_inference_profile_request.GetInferenceProfileRequest = {
        "inference_profile_identifier": inference_profile_identifier
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output