import type { MetadataBearer as __MetadataBearer } from "@smithy/types"; import type { ListInferenceProfilesRequest, ListInferenceProfilesResponse } from "../models/models_1"; /** * @public */ export type { __MetadataBearer }; /** * @public * * The input for {@link ListInferenceProfilesCommand}. */ export interface ListInferenceProfilesCommandInput extends ListInferenceProfilesRequest { } /** * @public * * The output of {@link ListInferenceProfilesCommand}. */ export interface ListInferenceProfilesCommandOutput extends ListInferenceProfilesResponse, __MetadataBearer { } declare const ListInferenceProfilesCommand_base: { new (input: ListInferenceProfilesCommandInput): import("@smithy/core/client").CommandImpl; new (...[input]: [] | [ListInferenceProfilesCommandInput]): import("@smithy/core/client").CommandImpl; getEndpointParameterInstructions(): import("@smithy/types").EndpointParameterInstructions; }; /** *

Returns a list of inference profiles that you can use. For more information, see Increase throughput and resilience with cross-region inference in Amazon Bedrock. in the Amazon Bedrock User Guide.

* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript * import { BedrockClient, ListInferenceProfilesCommand } from "@aws-sdk/client-bedrock"; // ES Modules import * // const { BedrockClient, ListInferenceProfilesCommand } = require("@aws-sdk/client-bedrock"); // CommonJS import * // import type { BedrockClientConfig } from "@aws-sdk/client-bedrock"; * const config = {}; // type is BedrockClientConfig * const client = new BedrockClient(config); * const input = { // ListInferenceProfilesRequest * maxResults: Number("int"), * nextToken: "STRING_VALUE", * typeEquals: "SYSTEM_DEFINED" || "APPLICATION", * }; * const command = new ListInferenceProfilesCommand(input); * const response = await client.send(command); * // { // ListInferenceProfilesResponse * // inferenceProfileSummaries: [ // InferenceProfileSummaries * // { // InferenceProfileSummary * // inferenceProfileName: "STRING_VALUE", // required * // description: "STRING_VALUE", * // createdAt: new Date("TIMESTAMP"), * // updatedAt: new Date("TIMESTAMP"), * // inferenceProfileArn: "STRING_VALUE", // required * // models: [ // InferenceProfileModels // required * // { // InferenceProfileModel * // modelArn: "STRING_VALUE", * // }, * // ], * // inferenceProfileId: "STRING_VALUE", // required * // status: "ACTIVE", // required * // type: "SYSTEM_DEFINED" || "APPLICATION", // required * // }, * // ], * // nextToken: "STRING_VALUE", * // }; * * ``` * * @param ListInferenceProfilesCommandInput - {@link ListInferenceProfilesCommandInput} * @returns {@link ListInferenceProfilesCommandOutput} * @see {@link ListInferenceProfilesCommandInput} for command's `input` shape. * @see {@link ListInferenceProfilesCommandOutput} for command's `response` shape. * @see {@link BedrockClientResolvedConfig | config} for BedrockClient's `config` shape. * * @throws {@link AccessDeniedException} (client fault) *

The request is denied because of missing access permissions.

* * @throws {@link InternalServerException} (server fault) *

An internal server error occurred. Retry your request.

* * @throws {@link ThrottlingException} (client fault) *

The number of requests exceeds the limit. Resubmit your request later.

* * @throws {@link ValidationException} (client fault) *

Input validation failed. Check your request parameters and retry the request.

* * @throws {@link BedrockServiceException} *

Base exception class for all service exceptions from Bedrock service.

* * * @public */ export declare class ListInferenceProfilesCommand extends ListInferenceProfilesCommand_base { /** @internal type navigation helper, not in runtime. */ protected static __types: { api: { input: ListInferenceProfilesRequest; output: ListInferenceProfilesResponse; }; sdk: { input: ListInferenceProfilesCommandInput; output: ListInferenceProfilesCommandOutput; }; }; }