import { Command as $Command } from "@smithy/smithy-client";
import { MetadataBearer as __MetadataBearer } from "@smithy/types";
import { CreateContextRequest, CreateContextResponse } from "../models/models_1";
import { SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../SageMakerClient";
/**
 * @public
 */
export type { __MetadataBearer };
export { $Command };
/**
 * @public
 *
 * The input for {@link CreateContextCommand}.
 */
export interface CreateContextCommandInput extends CreateContextRequest {
}
/**
 * @public
 *
 * The output of {@link CreateContextCommand}.
 */
export interface CreateContextCommandOutput extends CreateContextResponse, __MetadataBearer {
}
declare const CreateContextCommand_base: {
    new (input: CreateContextCommandInput): import("@smithy/smithy-client").CommandImpl<CreateContextCommandInput, CreateContextCommandOutput, SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    new (input: CreateContextCommandInput): import("@smithy/smithy-client").CommandImpl<CreateContextCommandInput, CreateContextCommandOutput, SageMakerClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/middleware-endpoint").EndpointParameterInstructions;
};
/**
 * <p>Creates a <i>context</i>. A context is a lineage tracking entity that represents a logical grouping of other tracking or experiment entities. Some examples are an endpoint and a model package. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/lineage-tracking.html">Amazon SageMaker ML Lineage Tracking</a>.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { SageMakerClient, CreateContextCommand } from "@aws-sdk/client-sagemaker"; // ES Modules import
 * // const { SageMakerClient, CreateContextCommand } = require("@aws-sdk/client-sagemaker"); // CommonJS import
 * const client = new SageMakerClient(config);
 * const input = { // CreateContextRequest
 *   ContextName: "STRING_VALUE", // required
 *   Source: { // ContextSource
 *     SourceUri: "STRING_VALUE", // required
 *     SourceType: "STRING_VALUE",
 *     SourceId: "STRING_VALUE",
 *   },
 *   ContextType: "STRING_VALUE", // required
 *   Description: "STRING_VALUE",
 *   Properties: { // LineageEntityParameters
 *     "<keys>": "STRING_VALUE",
 *   },
 *   Tags: [ // TagList
 *     { // Tag
 *       Key: "STRING_VALUE", // required
 *       Value: "STRING_VALUE", // required
 *     },
 *   ],
 * };
 * const command = new CreateContextCommand(input);
 * const response = await client.send(command);
 * // { // CreateContextResponse
 * //   ContextArn: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param CreateContextCommandInput - {@link CreateContextCommandInput}
 * @returns {@link CreateContextCommandOutput}
 * @see {@link CreateContextCommandInput} for command's `input` shape.
 * @see {@link CreateContextCommandOutput} for command's `response` shape.
 * @see {@link SageMakerClientResolvedConfig | config} for SageMakerClient's `config` shape.
 *
 * @throws {@link ResourceLimitExceeded} (client fault)
 *  <p> You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created. </p>
 *
 * @throws {@link SageMakerServiceException}
 * <p>Base exception class for all service exceptions from SageMaker service.</p>
 *
 *
 * @public
 */
export declare class CreateContextCommand extends CreateContextCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: CreateContextRequest;
            output: CreateContextResponse;
        };
        sdk: {
            input: CreateContextCommandInput;
            output: CreateContextCommandOutput;
        };
    };
}