import { Command as $Command } from "@smithy/smithy-client";
import type { MetadataBearer as __MetadataBearer } from "@smithy/types";
import type { InvokeEndpointAsyncInput, InvokeEndpointAsyncOutput } from "../models/models_0";
import type { SageMakerRuntimeClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerRuntimeClient";
/**
 * @public
 */
export type { __MetadataBearer };
export { $Command };
/**
 * @public
 *
 * The input for {@link InvokeEndpointAsyncCommand}.
 */
export interface InvokeEndpointAsyncCommandInput extends InvokeEndpointAsyncInput {
}
/**
 * @public
 *
 * The output of {@link InvokeEndpointAsyncCommand}.
 */
export interface InvokeEndpointAsyncCommandOutput extends InvokeEndpointAsyncOutput, __MetadataBearer {
}
declare const InvokeEndpointAsyncCommand_base: {
    new (input: InvokeEndpointAsyncCommandInput): import("@smithy/smithy-client").CommandImpl<InvokeEndpointAsyncCommandInput, InvokeEndpointAsyncCommandOutput, SageMakerRuntimeClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    new (input: InvokeEndpointAsyncCommandInput): import("@smithy/smithy-client").CommandImpl<InvokeEndpointAsyncCommandInput, InvokeEndpointAsyncCommandOutput, SageMakerRuntimeClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/middleware-endpoint").EndpointParameterInstructions;
};
/**
 * <p>After you deploy a model into production using Amazon SageMaker AI hosting services,
 *             your client applications use this API to get inferences from the model hosted at the
 *             specified endpoint in an asynchronous manner.</p>
 *          <p>Inference requests sent to this API are enqueued for asynchronous processing. The
 *             processing of the inference request may or may not complete before you receive a
 *             response from this API. The response from this API will not contain the result of the
 *             inference request but contain information about where you can locate it.</p>
 *          <p>Amazon SageMaker AI strips all POST headers except those supported by the API. Amazon SageMaker AI might add
 *     additional headers. You should not rely on the behavior of headers outside those
 *     enumerated in the request syntax. </p>
 *          <p>Calls to <code>InvokeEndpointAsync</code> are authenticated by using Amazon Web Services Signature Version 4. For information, see <a href="https://docs.aws.amazon.com/AmazonS3/latest/API/sig-v4-authenticating-requests.html">Authenticating
 *                 Requests (Amazon Web Services Signature Version 4)</a> in the <i>Amazon S3 API Reference</i>.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { SageMakerRuntimeClient, InvokeEndpointAsyncCommand } from "@aws-sdk/client-sagemaker-runtime"; // ES Modules import
 * // const { SageMakerRuntimeClient, InvokeEndpointAsyncCommand } = require("@aws-sdk/client-sagemaker-runtime"); // CommonJS import
 * // import type { SageMakerRuntimeClientConfig } from "@aws-sdk/client-sagemaker-runtime";
 * const config = {}; // type is SageMakerRuntimeClientConfig
 * const client = new SageMakerRuntimeClient(config);
 * const input = { // InvokeEndpointAsyncInput
 *   EndpointName: "STRING_VALUE", // required
 *   ContentType: "STRING_VALUE",
 *   Accept: "STRING_VALUE",
 *   CustomAttributes: "STRING_VALUE",
 *   InferenceId: "STRING_VALUE",
 *   InputLocation: "STRING_VALUE", // required
 *   S3OutputPathExtension: "STRING_VALUE",
 *   Filename: "STRING_VALUE",
 *   RequestTTLSeconds: Number("int"),
 *   InvocationTimeoutSeconds: Number("int"),
 * };
 * const command = new InvokeEndpointAsyncCommand(input);
 * const response = await client.send(command);
 * // { // InvokeEndpointAsyncOutput
 * //   InferenceId: "STRING_VALUE",
 * //   OutputLocation: "STRING_VALUE",
 * //   FailureLocation: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param InvokeEndpointAsyncCommandInput - {@link InvokeEndpointAsyncCommandInput}
 * @returns {@link InvokeEndpointAsyncCommandOutput}
 * @see {@link InvokeEndpointAsyncCommandInput} for command's `input` shape.
 * @see {@link InvokeEndpointAsyncCommandOutput} for command's `response` shape.
 * @see {@link SageMakerRuntimeClientResolvedConfig | config} for SageMakerRuntimeClient's `config` shape.
 *
 * @throws {@link InternalFailure} (server fault)
 *  <p> An internal failure occurred. </p>
 *
 * @throws {@link ServiceUnavailable} (server fault)
 *  <p> The service is unavailable. Try your call again. </p>
 *
 * @throws {@link ValidationError} (client fault)
 *  <p> Inspect your request and try again. </p>
 *
 * @throws {@link SageMakerRuntimeServiceException}
 * <p>Base exception class for all service exceptions from SageMakerRuntime service.</p>
 *
 *
 * @public
 */
export declare class InvokeEndpointAsyncCommand extends InvokeEndpointAsyncCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: InvokeEndpointAsyncInput;
            output: InvokeEndpointAsyncOutput;
        };
        sdk: {
            input: InvokeEndpointAsyncCommandInput;
            output: InvokeEndpointAsyncCommandOutput;
        };
    };
}