import * as pulumi from "@pulumi/pulumi";
import * as inputs from "../types/input";
import * as outputs from "../types/output";
/**
 * LLM generator.
 *
 * To get more information about Generator, see:
 *
 * * [API documentation](https://cloud.google.com/dialogflow/es/docs/reference/rest/v2beta1/projects.locations.generators)
 * * How-to Guides
 *     * [Official Documentation](https://cloud.google.com/agent-assist/docs)
 *
 * ## Example Usage
 *
 * ### Dialogflow Generator Basic
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const summarizationBasicGenerator = new gcp.diagflow.Generator("summarization_basic_generator", {
 *     location: "global",
 *     description: "A v4.0 summarization generator.",
 *     inferenceParameter: {
 *         maxOutputTokens: 1024,
 *         temperature: 0,
 *         topK: 40,
 *         topP: 0.95,
 *     },
 *     summarizationContext: {
 *         version: "4.0",
 *         outputLanguageCode: "en",
 *     },
 *     triggerEvent: "MANUAL_CALL",
 * });
 * ```
 *
 * ## Import
 *
 * Generator can be imported using any of these accepted formats:
 *
 * * `projects/{{project}}/locations/{{location}}/generators/{{name}}`
 *
 * * `{{project}}/{{location}}/{{name}}`
 *
 * * `{{location}}/{{name}}`
 *
 * When using the `pulumi import` command, Generator can be imported using one of the formats above. For example:
 *
 * ```sh
 * $ pulumi import gcp:diagflow/generator:Generator default projects/{{project}}/locations/{{location}}/generators/{{name}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:diagflow/generator:Generator default {{project}}/{{location}}/{{name}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:diagflow/generator:Generator default {{location}}/{{name}}
 * ```
 */
export declare class Generator extends pulumi.CustomResource {
    /**
     * Get an existing Generator 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?: GeneratorState, opts?: pulumi.CustomResourceOptions): Generator;
    /**
     * Returns true if the given object is an instance of Generator.  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 Generator;
    /**
     * Optional. Human readable description of the generator.
     */
    readonly description: pulumi.Output<string | undefined>;
    /**
     * Optional. The ID to use for the generator, which will become the final component of the generator's resource name.
     */
    readonly generatorId: pulumi.Output<string>;
    /**
     * Optional. Inference parameters for this generator.
     * Structure is documented below.
     */
    readonly inferenceParameter: pulumi.Output<outputs.diagflow.GeneratorInferenceParameter | undefined>;
    /**
     * desc
     */
    readonly location: pulumi.Output<string>;
    /**
     * The resource name of the generator.
     */
    readonly name: pulumi.Output<string>;
    /**
     * The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    readonly project: pulumi.Output<string>;
    /**
     * Optional. The published Large Language Model name. * To use the latest model version, specify the model name without version number. Example: text-bison * To use a stable model version, specify the version number as well. Example: text-bison@002.
     */
    readonly publishedModel: pulumi.Output<string | undefined>;
    /**
     * Input of prebuilt Summarization feature.
     * Structure is documented below.
     */
    readonly summarizationContext: pulumi.Output<outputs.diagflow.GeneratorSummarizationContext>;
    /**
     * Optional. The trigger event of the generator. It defines when the generator is triggered in a conversation.
     * Possible values are: `END_OF_UTTERANCE`, `MANUAL_CALL`, `CUSTOMER_MESSAGE`, `AGENT_MESSAGE`.
     */
    readonly triggerEvent: pulumi.Output<string | undefined>;
    /**
     * Create a Generator 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: GeneratorArgs, opts?: pulumi.CustomResourceOptions);
}
/**
 * Input properties used for looking up and filtering Generator resources.
 */
export interface GeneratorState {
    /**
     * Optional. Human readable description of the generator.
     */
    description?: pulumi.Input<string>;
    /**
     * Optional. The ID to use for the generator, which will become the final component of the generator's resource name.
     */
    generatorId?: pulumi.Input<string>;
    /**
     * Optional. Inference parameters for this generator.
     * Structure is documented below.
     */
    inferenceParameter?: pulumi.Input<inputs.diagflow.GeneratorInferenceParameter>;
    /**
     * desc
     */
    location?: pulumi.Input<string>;
    /**
     * The resource name of the generator.
     */
    name?: pulumi.Input<string>;
    /**
     * The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    project?: pulumi.Input<string>;
    /**
     * Optional. The published Large Language Model name. * To use the latest model version, specify the model name without version number. Example: text-bison * To use a stable model version, specify the version number as well. Example: text-bison@002.
     */
    publishedModel?: pulumi.Input<string>;
    /**
     * Input of prebuilt Summarization feature.
     * Structure is documented below.
     */
    summarizationContext?: pulumi.Input<inputs.diagflow.GeneratorSummarizationContext>;
    /**
     * Optional. The trigger event of the generator. It defines when the generator is triggered in a conversation.
     * Possible values are: `END_OF_UTTERANCE`, `MANUAL_CALL`, `CUSTOMER_MESSAGE`, `AGENT_MESSAGE`.
     */
    triggerEvent?: pulumi.Input<string>;
}
/**
 * The set of arguments for constructing a Generator resource.
 */
export interface GeneratorArgs {
    /**
     * Optional. Human readable description of the generator.
     */
    description?: pulumi.Input<string>;
    /**
     * Optional. The ID to use for the generator, which will become the final component of the generator's resource name.
     */
    generatorId?: pulumi.Input<string>;
    /**
     * Optional. Inference parameters for this generator.
     * Structure is documented below.
     */
    inferenceParameter?: pulumi.Input<inputs.diagflow.GeneratorInferenceParameter>;
    /**
     * desc
     */
    location: pulumi.Input<string>;
    /**
     * The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    project?: pulumi.Input<string>;
    /**
     * Optional. The published Large Language Model name. * To use the latest model version, specify the model name without version number. Example: text-bison * To use a stable model version, specify the version number as well. Example: text-bison@002.
     */
    publishedModel?: pulumi.Input<string>;
    /**
     * Input of prebuilt Summarization feature.
     * Structure is documented below.
     */
    summarizationContext: pulumi.Input<inputs.diagflow.GeneratorSummarizationContext>;
    /**
     * Optional. The trigger event of the generator. It defines when the generator is triggered in a conversation.
     * Possible values are: `END_OF_UTTERANCE`, `MANUAL_CALL`, `CUSTOMER_MESSAGE`, `AGENT_MESSAGE`.
     */
    triggerEvent?: pulumi.Input<string>;
}
