import * as pulumi from "@pulumi/pulumi";
import * as inputs from "./types/input";
import * as outputs from "./types/output";
/**
 * This resource allows you to manage [Model Serving](https://docs.databricks.com/machine-learning/model-serving/index.html) endpoints in Databricks.
 *
 * > If you replace `servedModels` with `servedEntities` in an existing serving endpoint, the serving endpoint will briefly go into an update state (~30 seconds) and increment the config version.
 *
 * ## Example Usage
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as databricks from "@pulumi/databricks";
 *
 * const _this = new databricks.ModelServing("this", {
 *     name: "ads-serving-endpoint",
 *     config: {
 *         servedEntities: [
 *             {
 *                 name: "prod_model",
 *                 entityName: "ads-model",
 *                 entityVersion: "2",
 *                 workloadSize: "Small",
 *                 scaleToZeroEnabled: true,
 *             },
 *             {
 *                 name: "candidate_model",
 *                 entityName: "ads-model",
 *                 entityVersion: "4",
 *                 workloadSize: "Small",
 *                 scaleToZeroEnabled: false,
 *             },
 *         ],
 *         trafficConfig: {
 *             routes: [
 *                 {
 *                     servedModelName: "prod_model",
 *                     trafficPercentage: 90,
 *                 },
 *                 {
 *                     servedModelName: "candidate_model",
 *                     trafficPercentage: 10,
 *                 },
 *             ],
 *         },
 *     },
 * });
 * ```
 *
 * ## Access Control
 *
 * * databricks.Permissions can control which groups or individual users can *Manage*, *Query* or *View* individual serving endpoints.
 *
 * ## Related Resources
 *
 * The following resources are often used in the same context:
 *
 * * databricks.RegisteredModel to create [Models in Unity Catalog](https://docs.databricks.com/en/mlflow/models-in-uc.html) in Databricks.
 * * End to end workspace management guide.
 * * databricks.Directory to manage directories in [Databricks Workspace](https://docs.databricks.com/workspace/workspace-objects.html).
 * * databricks.MlflowModel to create models in the [workspace model registry](https://docs.databricks.com/en/mlflow/model-registry.html) in Databricks.
 * * databricks.Notebook to manage [Databricks Notebooks](https://docs.databricks.com/notebooks/index.html).
 * * databricks.Notebook data to export a notebook from Databricks Workspace.
 * * databricks.Repo to manage [Databricks Repos](https://docs.databricks.com/repos.html).
 *
 * ## Import
 *
 * The model serving resource can be imported using the name of the endpoint.
 *
 * bash
 *
 * ```sh
 * $ pulumi import databricks:index/modelServing:ModelServing this <model-serving-endpoint-name>
 * ```
 */
export declare class ModelServing extends pulumi.CustomResource {
    /**
     * Get an existing ModelServing resource's state with the given name, ID, and optional extra
     * properties used to qualify the lookup.
     *
     * @param name The _unique_ name of the resulting resource.
     * @param id The _unique_ provider ID of the resource to lookup.
     * @param state Any extra arguments used during the lookup.
     * @param opts Optional settings to control the behavior of the CustomResource.
     */
    static get(name: string, id: pulumi.Input<pulumi.ID>, state?: ModelServingState, opts?: pulumi.CustomResourceOptions): ModelServing;
    /**
     * Returns true if the given object is an instance of ModelServing.  This is designed to work even
     * when multiple copies of the Pulumi SDK have been loaded into the same process.
     */
    static isInstance(obj: any): obj is ModelServing;
    /**
     * A block with AI Gateway configuration for the serving endpoint. *Note: only external model endpoints are supported as of now.*
     */
    readonly aiGateway: pulumi.Output<outputs.ModelServingAiGateway | undefined>;
    /**
     * The Budget Policy ID set for this serving endpoint.
     */
    readonly budgetPolicyId: pulumi.Output<string | undefined>;
    /**
     * The model serving endpoint configuration. This is optional and can be added and modified after creation. If `config` was provided in a previous apply but is not provided in the current apply, no change to the model serving endpoint will occur. To recreate the model serving endpoint without the `config` block, the model serving endpoint must be destroyed and recreated.
     */
    readonly config: pulumi.Output<outputs.ModelServingConfig>;
    /**
     * The name of the model serving endpoint. This field is required and must be unique across a workspace. An endpoint name can consist of alphanumeric characters, dashes, and underscores. NOTE: Changing this name will delete the existing endpoint and create a new endpoint with the updated name.
     */
    readonly name: pulumi.Output<string>;
    /**
     * A list of rate limit blocks to be applied to the serving endpoint. *Note: only external and foundation model endpoints are supported as of now.*
     */
    readonly rateLimits: pulumi.Output<outputs.ModelServingRateLimit[] | undefined>;
    /**
     * A boolean enabling route optimization for the endpoint. *Note: only available for custom models.*
     */
    readonly routeOptimized: pulumi.Output<boolean | undefined>;
    /**
     * Unique identifier of the serving endpoint primarily used to set permissions and refer to this instance for other operations.
     */
    readonly servingEndpointId: pulumi.Output<string>;
    /**
     * Tags to be attached to the serving endpoint and automatically propagated to billing logs.
     */
    readonly tags: pulumi.Output<outputs.ModelServingTag[] | undefined>;
    /**
     * Create a ModelServing resource with the given unique name, arguments, and options.
     *
     * @param name The _unique_ name of the resource.
     * @param args The arguments to use to populate this resource's properties.
     * @param opts A bag of options that control this resource's behavior.
     */
    constructor(name: string, args?: ModelServingArgs, opts?: pulumi.CustomResourceOptions);
}
/**
 * Input properties used for looking up and filtering ModelServing resources.
 */
export interface ModelServingState {
    /**
     * A block with AI Gateway configuration for the serving endpoint. *Note: only external model endpoints are supported as of now.*
     */
    aiGateway?: pulumi.Input<inputs.ModelServingAiGateway>;
    /**
     * The Budget Policy ID set for this serving endpoint.
     */
    budgetPolicyId?: pulumi.Input<string>;
    /**
     * The model serving endpoint configuration. This is optional and can be added and modified after creation. If `config` was provided in a previous apply but is not provided in the current apply, no change to the model serving endpoint will occur. To recreate the model serving endpoint without the `config` block, the model serving endpoint must be destroyed and recreated.
     */
    config?: pulumi.Input<inputs.ModelServingConfig>;
    /**
     * The name of the model serving endpoint. This field is required and must be unique across a workspace. An endpoint name can consist of alphanumeric characters, dashes, and underscores. NOTE: Changing this name will delete the existing endpoint and create a new endpoint with the updated name.
     */
    name?: pulumi.Input<string>;
    /**
     * A list of rate limit blocks to be applied to the serving endpoint. *Note: only external and foundation model endpoints are supported as of now.*
     */
    rateLimits?: pulumi.Input<pulumi.Input<inputs.ModelServingRateLimit>[]>;
    /**
     * A boolean enabling route optimization for the endpoint. *Note: only available for custom models.*
     */
    routeOptimized?: pulumi.Input<boolean>;
    /**
     * Unique identifier of the serving endpoint primarily used to set permissions and refer to this instance for other operations.
     */
    servingEndpointId?: pulumi.Input<string>;
    /**
     * Tags to be attached to the serving endpoint and automatically propagated to billing logs.
     */
    tags?: pulumi.Input<pulumi.Input<inputs.ModelServingTag>[]>;
}
/**
 * The set of arguments for constructing a ModelServing resource.
 */
export interface ModelServingArgs {
    /**
     * A block with AI Gateway configuration for the serving endpoint. *Note: only external model endpoints are supported as of now.*
     */
    aiGateway?: pulumi.Input<inputs.ModelServingAiGateway>;
    /**
     * The Budget Policy ID set for this serving endpoint.
     */
    budgetPolicyId?: pulumi.Input<string>;
    /**
     * The model serving endpoint configuration. This is optional and can be added and modified after creation. If `config` was provided in a previous apply but is not provided in the current apply, no change to the model serving endpoint will occur. To recreate the model serving endpoint without the `config` block, the model serving endpoint must be destroyed and recreated.
     */
    config?: pulumi.Input<inputs.ModelServingConfig>;
    /**
     * The name of the model serving endpoint. This field is required and must be unique across a workspace. An endpoint name can consist of alphanumeric characters, dashes, and underscores. NOTE: Changing this name will delete the existing endpoint and create a new endpoint with the updated name.
     */
    name?: pulumi.Input<string>;
    /**
     * A list of rate limit blocks to be applied to the serving endpoint. *Note: only external and foundation model endpoints are supported as of now.*
     */
    rateLimits?: pulumi.Input<pulumi.Input<inputs.ModelServingRateLimit>[]>;
    /**
     * A boolean enabling route optimization for the endpoint. *Note: only available for custom models.*
     */
    routeOptimized?: pulumi.Input<boolean>;
    /**
     * Tags to be attached to the serving endpoint and automatically propagated to billing logs.
     */
    tags?: pulumi.Input<pulumi.Input<inputs.ModelServingTag>[]>;
}