import { EndpointParameterInstructions } from "@smithy/middleware-endpoint";
import { Command as $Command } from "@smithy/smithy-client";
import { BlobPayloadInputTypes, Handler, HttpHandlerOptions as __HttpHandlerOptions, MetadataBearer as __MetadataBearer, MiddlewareStack } from "@smithy/types";
import { Uint8ArrayBlobAdapter } from "@smithy/util-stream";
import { BedrockRuntimeClientResolvedConfig, ServiceInputTypes, ServiceOutputTypes } from "../BedrockRuntimeClient";
import { InvokeModelRequest, InvokeModelResponse } from "../models/models_0";
/**
 * @public
 */
export { __MetadataBearer, $Command };
/**
 * @public
 */
export type InvokeModelCommandInputType = Omit<InvokeModelRequest, "body"> & {
    body: BlobPayloadInputTypes;
};
/**
 * @public
 *
 * The input for {@link InvokeModelCommand}.
 */
export interface InvokeModelCommandInput extends InvokeModelCommandInputType {
}
/**
 * @public
 */
export type InvokeModelCommandOutputType = Omit<InvokeModelResponse, "body"> & {
    body: Uint8ArrayBlobAdapter;
};
/**
 * @public
 *
 * The output of {@link InvokeModelCommand}.
 */
export interface InvokeModelCommandOutput extends InvokeModelCommandOutputType, __MetadataBearer {
}
/**
 * @public
 * <p>Invokes the specified Bedrock model to run inference using the input provided in the request body.
 *          You use InvokeModel to run inference for text models, image models, and embedding models.</p>
 *          <p>For more information about invoking models, see Using the API in the <a href="https://d2eo22ngex1n9g.cloudfront.net/Documentation/BedrockUserGuide.pdf">Bedrock User Guide</a>.</p>
 *          <p>For example requests, see Examples (after the Errors section).</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { BedrockRuntimeClient, InvokeModelCommand } from "@aws-sdk/client-bedrock-runtime"; // ES Modules import
 * // const { BedrockRuntimeClient, InvokeModelCommand } = require("@aws-sdk/client-bedrock-runtime"); // CommonJS import
 * const client = new BedrockRuntimeClient(config);
 * const input = { // InvokeModelRequest
 *   body: "BLOB_VALUE", // required
 *   contentType: "STRING_VALUE",
 *   accept: "STRING_VALUE",
 *   modelId: "STRING_VALUE", // required
 * };
 * const command = new InvokeModelCommand(input);
 * const response = await client.send(command);
 * // { // InvokeModelResponse
 * //   body: "BLOB_VALUE", // required
 * //   contentType: "STRING_VALUE", // required
 * // };
 *
 * ```
 *
 * @param InvokeModelCommandInput - {@link InvokeModelCommandInput}
 * @returns {@link InvokeModelCommandOutput}
 * @see {@link InvokeModelCommandInput} for command's `input` shape.
 * @see {@link InvokeModelCommandOutput} for command's `response` shape.
 * @see {@link BedrockRuntimeClientResolvedConfig | config} for BedrockRuntimeClient's `config` shape.
 *
 * @throws {@link AccessDeniedException} (client fault)
 *  <p>The request is denied because of missing access permissions.</p>
 *
 * @throws {@link InternalServerException} (server fault)
 *  <p>An internal server error occurred. Retry your request.</p>
 *
 * @throws {@link ModelErrorException} (client fault)
 *  <p>The request failed due to an error while processing the model.</p>
 *
 * @throws {@link ModelNotReadyException} (client fault)
 *  <p>The model specified in the request is not ready to serve inference requests.</p>
 *
 * @throws {@link ModelTimeoutException} (client fault)
 *  <p>The request took too long to process. Processing time exceeded the model timeout length.</p>
 *
 * @throws {@link ResourceNotFoundException} (client fault)
 *  <p>The specified resource ARN was not found. Check the ARN and try your request again.</p>
 *
 * @throws {@link ServiceQuotaExceededException} (client fault)
 *  <p>The number of requests exceeds the service quota. Resubmit your request later.</p>
 *
 * @throws {@link ThrottlingException} (client fault)
 *  <p>The number of requests exceeds the limit. Resubmit your request later.</p>
 *
 * @throws {@link ValidationException} (client fault)
 *  <p>Input validation failed. Check your request parameters and retry the request.</p>
 *
 * @throws {@link BedrockRuntimeServiceException}
 * <p>Base exception class for all service exceptions from BedrockRuntime service.</p>
 *
 */
export declare class InvokeModelCommand extends $Command<InvokeModelCommandInput, InvokeModelCommandOutput, BedrockRuntimeClientResolvedConfig> {
    readonly input: InvokeModelCommandInput;
    static getEndpointParameterInstructions(): EndpointParameterInstructions;
    /**
     * @public
     */
    constructor(input: InvokeModelCommandInput);
    /**
     * @internal
     */
    resolveMiddleware(clientStack: MiddlewareStack<ServiceInputTypes, ServiceOutputTypes>, configuration: BedrockRuntimeClientResolvedConfig, options?: __HttpHandlerOptions): Handler<InvokeModelCommandInput, InvokeModelCommandOutput>;
    /**
     * @internal
     */
    private serialize;
    /**
     * @internal
     */
    private deserialize;
}
