get_model_invocation_job async ¶

async def get_model_invocation_job(
    self,
    job_identifier: "capo_bedrock.types.model_invocation_job_identifier.ModelInvocationJobIdentifier",
    *,
    config_overrides: Optional[AsyncBedrockClientConfig] = None,
) -> "capo_bedrock.types.get_model_invocation_job_response.GetModelInvocationJobResponse":
    """<p>Gets details about a batch inference job. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/batch-inference-monitor">Monitor batch inference jobs</a> </p>

    Args:
        job_identifier: <p>The Amazon Resource Name (ARN) of the batch inference job.</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.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_bedrock.types.get_model_invocation_job_request.GetModelInvocationJobRequest]",
    ) -> AsyncOperationResponse[
        "capo_bedrock.types.get_model_invocation_job_response.GetModelInvocationJobResponse"
    ]:
        import capo_bedrock._operations.amazon_bedrock_control_plane_service.get_model_invocation_job

        (
            output,
            http_response,
        ) = await capo_bedrock._operations.amazon_bedrock_control_plane_service.get_model_invocation_job.async_get_model_invocation_job(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

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

        return (
            capo_bedrock.types.get_model_invocation_job_response.redact_sensitive(
                output
            )
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("GetModelInvocationJob", redact_output=_redact_output),
    )
    input_: capo_bedrock.types.get_model_invocation_job_request.GetModelInvocationJobRequest = {
        "job_identifier": job_identifier
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output