/**
 * Copyright 2019 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
import { GaxiosPromise } from 'gaxios';
import { Compute, JWT, OAuth2Client, UserRefreshClient } from 'google-auth-library';
import { BodyResponseCallback, GlobalOptions, GoogleConfigurable, MethodOptions } from 'googleapis-common';
export declare namespace language_v1beta2 {
    interface Options extends GlobalOptions {
        version: 'v1beta2';
    }
    interface StandardParameters {
        /**
         * V1 error format.
         */
        '$.xgafv'?: string;
        /**
         * OAuth access token.
         */
        access_token?: string;
        /**
         * Data format for response.
         */
        alt?: string;
        /**
         * JSONP
         */
        callback?: string;
        /**
         * Selector specifying which fields to include in a partial response.
         */
        fields?: string;
        /**
         * API key. Your API key identifies your project and provides you with API
         * access, quota, and reports. Required unless you provide an OAuth 2.0
         * token.
         */
        key?: string;
        /**
         * OAuth 2.0 token for the current user.
         */
        oauth_token?: string;
        /**
         * Returns response with indentations and line breaks.
         */
        prettyPrint?: boolean;
        /**
         * Available to use for quota purposes for server-side applications. Can be
         * any arbitrary string assigned to a user, but should not exceed 40
         * characters.
         */
        quotaUser?: string;
        /**
         * Legacy upload protocol for media (e.g. "media", "multipart").
         */
        uploadType?: string;
        /**
         * Upload protocol for media (e.g. "raw", "multipart").
         */
        upload_protocol?: string;
    }
    /**
     * Cloud Natural Language API
     *
     * Provides natural language understanding technologies, such as sentiment
     * analysis, entity recognition, entity sentiment analysis, and other text
     * annotations, to developers.
     *
     * @example
     * const {google} = require('googleapis');
     * const language = google.language('v1beta2');
     *
     * @namespace language
     * @type {Function}
     * @version v1beta2
     * @variation v1beta2
     * @param {object=} options Options for Language
     */
    class Language {
        documents: Resource$Documents;
        constructor(options: GlobalOptions, google?: GoogleConfigurable);
    }
    /**
     * The entity analysis request message.
     */
    interface Schema$AnalyzeEntitiesRequest {
        /**
         * Input document.
         */
        document?: Schema$Document;
        /**
         * The encoding type used by the API to calculate offsets.
         */
        encodingType?: string;
    }
    /**
     * The entity analysis response message.
     */
    interface Schema$AnalyzeEntitiesResponse {
        /**
         * The recognized entities in the input document.
         */
        entities?: Schema$Entity[];
        /**
         * The language of the text, which will be the same as the language
         * specified in the request or, if not specified, the automatically-detected
         * language. See Document.language field for more details.
         */
        language?: string;
    }
    /**
     * The entity-level sentiment analysis request message.
     */
    interface Schema$AnalyzeEntitySentimentRequest {
        /**
         * Input document.
         */
        document?: Schema$Document;
        /**
         * The encoding type used by the API to calculate offsets.
         */
        encodingType?: string;
    }
    /**
     * The entity-level sentiment analysis response message.
     */
    interface Schema$AnalyzeEntitySentimentResponse {
        /**
         * The recognized entities in the input document with associated sentiments.
         */
        entities?: Schema$Entity[];
        /**
         * The language of the text, which will be the same as the language
         * specified in the request or, if not specified, the automatically-detected
         * language. See Document.language field for more details.
         */
        language?: string;
    }
    /**
     * The sentiment analysis request message.
     */
    interface Schema$AnalyzeSentimentRequest {
        /**
         * Input document.
         */
        document?: Schema$Document;
        /**
         * The encoding type used by the API to calculate sentence offsets for the
         * sentence sentiment.
         */
        encodingType?: string;
    }
    /**
     * The sentiment analysis response message.
     */
    interface Schema$AnalyzeSentimentResponse {
        /**
         * The overall sentiment of the input document.
         */
        documentSentiment?: Schema$Sentiment;
        /**
         * The language of the text, which will be the same as the language
         * specified in the request or, if not specified, the automatically-detected
         * language. See Document.language field for more details.
         */
        language?: string;
        /**
         * The sentiment for all the sentences in the document.
         */
        sentences?: Schema$Sentence[];
    }
    /**
     * The syntax analysis request message.
     */
    interface Schema$AnalyzeSyntaxRequest {
        /**
         * Input document.
         */
        document?: Schema$Document;
        /**
         * The encoding type used by the API to calculate offsets.
         */
        encodingType?: string;
    }
    /**
     * The syntax analysis response message.
     */
    interface Schema$AnalyzeSyntaxResponse {
        /**
         * The language of the text, which will be the same as the language
         * specified in the request or, if not specified, the automatically-detected
         * language. See Document.language field for more details.
         */
        language?: string;
        /**
         * Sentences in the input document.
         */
        sentences?: Schema$Sentence[];
        /**
         * Tokens, along with their syntactic information, in the input document.
         */
        tokens?: Schema$Token[];
    }
    /**
     * The request message for the text annotation API, which can perform multiple
     * analysis types (sentiment, entities, and syntax) in one call.
     */
    interface Schema$AnnotateTextRequest {
        /**
         * Input document.
         */
        document?: Schema$Document;
        /**
         * The encoding type used by the API to calculate offsets.
         */
        encodingType?: string;
        /**
         * The enabled features.
         */
        features?: Schema$Features;
    }
    /**
     * The text annotations response message.
     */
    interface Schema$AnnotateTextResponse {
        /**
         * Categories identified in the input document.
         */
        categories?: Schema$ClassificationCategory[];
        /**
         * The overall sentiment for the document. Populated if the user enables
         * AnnotateTextRequest.Features.extract_document_sentiment.
         */
        documentSentiment?: Schema$Sentiment;
        /**
         * Entities, along with their semantic information, in the input document.
         * Populated if the user enables
         * AnnotateTextRequest.Features.extract_entities.
         */
        entities?: Schema$Entity[];
        /**
         * The language of the text, which will be the same as the language
         * specified in the request or, if not specified, the automatically-detected
         * language. See Document.language field for more details.
         */
        language?: string;
        /**
         * Sentences in the input document. Populated if the user enables
         * AnnotateTextRequest.Features.extract_syntax.
         */
        sentences?: Schema$Sentence[];
        /**
         * Tokens, along with their syntactic information, in the input document.
         * Populated if the user enables
         * AnnotateTextRequest.Features.extract_syntax.
         */
        tokens?: Schema$Token[];
    }
    /**
     * Represents a category returned from the text classifier.
     */
    interface Schema$ClassificationCategory {
        /**
         * The classifier's confidence of the category. Number represents how
         * certain the classifier is that this category represents the given text.
         */
        confidence?: number;
        /**
         * The name of the category representing the document, from the [predefined
         * taxonomy](/natural-language/docs/categories).
         */
        name?: string;
    }
    /**
     * The document classification request message.
     */
    interface Schema$ClassifyTextRequest {
        /**
         * Input document.
         */
        document?: Schema$Document;
    }
    /**
     * The document classification response message.
     */
    interface Schema$ClassifyTextResponse {
        /**
         * Categories representing the input document.
         */
        categories?: Schema$ClassificationCategory[];
    }
    /**
     * Represents dependency parse tree information for a token.
     */
    interface Schema$DependencyEdge {
        /**
         * Represents the head of this token in the dependency tree. This is the
         * index of the token which has an arc going to this token. The index is the
         * position of the token in the array of tokens returned by the API method.
         * If this token is a root token, then the `head_token_index` is its own
         * index.
         */
        headTokenIndex?: number;
        /**
         * The parse label for the token.
         */
        label?: string;
    }
    /**
     * ################################################################ #
     * Represents the input to API methods.
     */
    interface Schema$Document {
        /**
         * The content of the input in string format. Cloud audit logging exempt
         * since it is based on user data.
         */
        content?: string;
        /**
         * The Google Cloud Storage URI where the file content is located. This URI
         * must be of the form: gs://bucket_name/object_name. For more details, see
         * https://cloud.google.com/storage/docs/reference-uris. NOTE: Cloud Storage
         * object versioning is not supported.
         */
        gcsContentUri?: string;
        /**
         * The language of the document (if not specified, the language is
         * automatically detected). Both ISO and BCP-47 language codes are
         * accepted.<br> [Language Support](/natural-language/docs/languages)
         * lists currently supported languages for each API method. If the language
         * (either specified by the caller or automatically detected) is not
         * supported by the called API method, an `INVALID_ARGUMENT` error is
         * returned.
         */
        language?: string;
        /**
         * Required. If the type is not set or is `TYPE_UNSPECIFIED`, returns an
         * `INVALID_ARGUMENT` error.
         */
        type?: string;
    }
    /**
     * Represents a phrase in the text that is a known entity, such as a person,
     * an organization, or location. The API associates information, such as
     * salience and mentions, with entities.
     */
    interface Schema$Entity {
        /**
         * The mentions of this entity in the input document. The API currently
         * supports proper noun mentions.
         */
        mentions?: Schema$EntityMention[];
        /**
         * Metadata associated with the entity.  Currently, Wikipedia URLs and
         * Knowledge Graph MIDs are provided, if available. The associated keys are
         * "wikipedia_url" and "mid", respectively.
         */
        metadata?: {
            [key: string]: string;
        };
        /**
         * The representative name for the entity.
         */
        name?: string;
        /**
         * The salience score associated with the entity in the [0, 1.0] range.  The
         * salience score for an entity provides information about the importance or
         * centrality of that entity to the entire document text. Scores closer to 0
         * are less salient, while scores closer to 1.0 are highly salient.
         */
        salience?: number;
        /**
         * For calls to AnalyzeEntitySentiment or if
         * AnnotateTextRequest.Features.extract_entity_sentiment is set to true,
         * this field will contain the aggregate sentiment expressed for this entity
         * in the provided document.
         */
        sentiment?: Schema$Sentiment;
        /**
         * The entity type.
         */
        type?: string;
    }
    /**
     * Represents a mention for an entity in the text. Currently, proper noun
     * mentions are supported.
     */
    interface Schema$EntityMention {
        /**
         * For calls to AnalyzeEntitySentiment or if
         * AnnotateTextRequest.Features.extract_entity_sentiment is set to true,
         * this field will contain the sentiment expressed for this mention of the
         * entity in the provided document.
         */
        sentiment?: Schema$Sentiment;
        /**
         * The mention text.
         */
        text?: Schema$TextSpan;
        /**
         * The type of the entity mention.
         */
        type?: string;
    }
    /**
     * All available features for sentiment, syntax, and semantic analysis.
     * Setting each one to true will enable that specific analysis for the input.
     * Next ID: 10
     */
    interface Schema$Features {
        /**
         * Classify the full document into categories. If this is true, the API will
         * use the default model which classifies into a [predefined
         * taxonomy](/natural-language/docs/categories).
         */
        classifyText?: boolean;
        /**
         * Extract document-level sentiment.
         */
        extractDocumentSentiment?: boolean;
        /**
         * Extract entities.
         */
        extractEntities?: boolean;
        /**
         * Extract entities and their associated sentiment.
         */
        extractEntitySentiment?: boolean;
        /**
         * Extract syntax information.
         */
        extractSyntax?: boolean;
    }
    /**
     * Represents part of speech information for a token.
     */
    interface Schema$PartOfSpeech {
        /**
         * The grammatical aspect.
         */
        aspect?: string;
        /**
         * The grammatical case.
         */
        case?: string;
        /**
         * The grammatical form.
         */
        form?: string;
        /**
         * The grammatical gender.
         */
        gender?: string;
        /**
         * The grammatical mood.
         */
        mood?: string;
        /**
         * The grammatical number.
         */
        number?: string;
        /**
         * The grammatical person.
         */
        person?: string;
        /**
         * The grammatical properness.
         */
        proper?: string;
        /**
         * The grammatical reciprocity.
         */
        reciprocity?: string;
        /**
         * The part of speech tag.
         */
        tag?: string;
        /**
         * The grammatical tense.
         */
        tense?: string;
        /**
         * The grammatical voice.
         */
        voice?: string;
    }
    /**
     * Represents a sentence in the input document.
     */
    interface Schema$Sentence {
        /**
         * For calls to AnalyzeSentiment or if
         * AnnotateTextRequest.Features.extract_document_sentiment is set to true,
         * this field will contain the sentiment for the sentence.
         */
        sentiment?: Schema$Sentiment;
        /**
         * The sentence text.
         */
        text?: Schema$TextSpan;
    }
    /**
     * Represents the feeling associated with the entire text or entities in the
     * text. Next ID: 6
     */
    interface Schema$Sentiment {
        /**
         * A non-negative number in the [0, +inf) range, which represents the
         * absolute magnitude of sentiment regardless of score (positive or
         * negative).
         */
        magnitude?: number;
        /**
         * Sentiment score between -1.0 (negative sentiment) and 1.0 (positive
         * sentiment).
         */
        score?: number;
    }
    /**
     * The `Status` type defines a logical error model that is suitable for
     * different programming environments, including REST APIs and RPC APIs. It is
     * used by [gRPC](https://github.com/grpc). The error model is designed to be:
     * - Simple to use and understand for most users - Flexible enough to meet
     * unexpected needs  # Overview  The `Status` message contains three pieces of
     * data: error code, error message, and error details. The error code should
     * be an enum value of google.rpc.Code, but it may accept additional error
     * codes if needed.  The error message should be a developer-facing English
     * message that helps developers *understand* and *resolve* the error. If a
     * localized user-facing error message is needed, put the localized message in
     * the error details or localize it in the client. The optional error details
     * may contain arbitrary information about the error. There is a predefined
     * set of error detail types in the package `google.rpc` that can be used for
     * common error conditions.  # Language mapping  The `Status` message is the
     * logical representation of the error model, but it is not necessarily the
     * actual wire format. When the `Status` message is exposed in different
     * client libraries and different wire protocols, it can be mapped
     * differently. For example, it will likely be mapped to some exceptions in
     * Java, but more likely mapped to some error codes in C.  # Other uses  The
     * error model and the `Status` message can be used in a variety of
     * environments, either with or without APIs, to provide a consistent
     * developer experience across different environments.  Example uses of this
     * error model include:  - Partial errors. If a service needs to return
     * partial errors to the client,     it may embed the `Status` in the normal
     * response to indicate the partial     errors.  - Workflow errors. A typical
     * workflow has multiple steps. Each step may     have a `Status` message for
     * error reporting.  - Batch operations. If a client uses batch request and
     * batch response, the     `Status` message should be used directly inside
     * batch response, one for     each error sub-response.  - Asynchronous
     * operations. If an API call embeds asynchronous operation     results in its
     * response, the status of those operations should be     represented directly
     * using the `Status` message.  - Logging. If some API errors are stored in
     * logs, the message `Status` could     be used directly after any stripping
     * needed for security/privacy reasons.
     */
    interface Schema$Status {
        /**
         * The status code, which should be an enum value of google.rpc.Code.
         */
        code?: number;
        /**
         * A list of messages that carry the error details.  There is a common set
         * of message types for APIs to use.
         */
        details?: Array<{
            [key: string]: any;
        }>;
        /**
         * A developer-facing error message, which should be in English. Any
         * user-facing error message should be localized and sent in the
         * google.rpc.Status.details field, or localized by the client.
         */
        message?: string;
    }
    /**
     * Represents an output piece of text.
     */
    interface Schema$TextSpan {
        /**
         * The API calculates the beginning offset of the content in the original
         * document according to the EncodingType specified in the API request.
         */
        beginOffset?: number;
        /**
         * The content of the output text.
         */
        content?: string;
    }
    /**
     * Represents the smallest syntactic building block of the text.
     */
    interface Schema$Token {
        /**
         * Dependency tree parse for this token.
         */
        dependencyEdge?: Schema$DependencyEdge;
        /**
         * [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the
         * token.
         */
        lemma?: string;
        /**
         * Parts of speech tag for this token.
         */
        partOfSpeech?: Schema$PartOfSpeech;
        /**
         * The token text.
         */
        text?: Schema$TextSpan;
    }
    class Resource$Documents {
        constructor();
        /**
         * language.documents.analyzeEntities
         * @desc Finds named entities (currently proper names and common nouns) in
         * the text along with entity types, salience, mentions for each entity, and
         * other properties.
         * @alias language.documents.analyzeEntities
         * @memberOf! ()
         *
         * @param {object} params Parameters for request
         * @param {().AnalyzeEntitiesRequest} params.resource Request body data
         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
         * @param {callback} callback The callback that handles the response.
         * @return {object} Request object
         */
        analyzeEntities(params?: Params$Resource$Documents$Analyzeentities, options?: MethodOptions): GaxiosPromise<Schema$AnalyzeEntitiesResponse>;
        analyzeEntities(params: Params$Resource$Documents$Analyzeentities, options: MethodOptions | BodyResponseCallback<Schema$AnalyzeEntitiesResponse>, callback: BodyResponseCallback<Schema$AnalyzeEntitiesResponse>): void;
        analyzeEntities(params: Params$Resource$Documents$Analyzeentities, callback: BodyResponseCallback<Schema$AnalyzeEntitiesResponse>): void;
        analyzeEntities(callback: BodyResponseCallback<Schema$AnalyzeEntitiesResponse>): void;
        /**
         * language.documents.analyzeEntitySentiment
         * @desc Finds entities, similar to AnalyzeEntities in the text and analyzes
         * sentiment associated with each entity and its mentions.
         * @alias language.documents.analyzeEntitySentiment
         * @memberOf! ()
         *
         * @param {object} params Parameters for request
         * @param {().AnalyzeEntitySentimentRequest} params.resource Request body data
         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
         * @param {callback} callback The callback that handles the response.
         * @return {object} Request object
         */
        analyzeEntitySentiment(params?: Params$Resource$Documents$Analyzeentitysentiment, options?: MethodOptions): GaxiosPromise<Schema$AnalyzeEntitySentimentResponse>;
        analyzeEntitySentiment(params: Params$Resource$Documents$Analyzeentitysentiment, options: MethodOptions | BodyResponseCallback<Schema$AnalyzeEntitySentimentResponse>, callback: BodyResponseCallback<Schema$AnalyzeEntitySentimentResponse>): void;
        analyzeEntitySentiment(params: Params$Resource$Documents$Analyzeentitysentiment, callback: BodyResponseCallback<Schema$AnalyzeEntitySentimentResponse>): void;
        analyzeEntitySentiment(callback: BodyResponseCallback<Schema$AnalyzeEntitySentimentResponse>): void;
        /**
         * language.documents.analyzeSentiment
         * @desc Analyzes the sentiment of the provided text.
         * @alias language.documents.analyzeSentiment
         * @memberOf! ()
         *
         * @param {object} params Parameters for request
         * @param {().AnalyzeSentimentRequest} params.resource Request body data
         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
         * @param {callback} callback The callback that handles the response.
         * @return {object} Request object
         */
        analyzeSentiment(params?: Params$Resource$Documents$Analyzesentiment, options?: MethodOptions): GaxiosPromise<Schema$AnalyzeSentimentResponse>;
        analyzeSentiment(params: Params$Resource$Documents$Analyzesentiment, options: MethodOptions | BodyResponseCallback<Schema$AnalyzeSentimentResponse>, callback: BodyResponseCallback<Schema$AnalyzeSentimentResponse>): void;
        analyzeSentiment(params: Params$Resource$Documents$Analyzesentiment, callback: BodyResponseCallback<Schema$AnalyzeSentimentResponse>): void;
        analyzeSentiment(callback: BodyResponseCallback<Schema$AnalyzeSentimentResponse>): void;
        /**
         * language.documents.analyzeSyntax
         * @desc Analyzes the syntax of the text and provides sentence boundaries
         * and tokenization along with part of speech tags, dependency trees, and
         * other properties.
         * @alias language.documents.analyzeSyntax
         * @memberOf! ()
         *
         * @param {object} params Parameters for request
         * @param {().AnalyzeSyntaxRequest} params.resource Request body data
         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
         * @param {callback} callback The callback that handles the response.
         * @return {object} Request object
         */
        analyzeSyntax(params?: Params$Resource$Documents$Analyzesyntax, options?: MethodOptions): GaxiosPromise<Schema$AnalyzeSyntaxResponse>;
        analyzeSyntax(params: Params$Resource$Documents$Analyzesyntax, options: MethodOptions | BodyResponseCallback<Schema$AnalyzeSyntaxResponse>, callback: BodyResponseCallback<Schema$AnalyzeSyntaxResponse>): void;
        analyzeSyntax(params: Params$Resource$Documents$Analyzesyntax, callback: BodyResponseCallback<Schema$AnalyzeSyntaxResponse>): void;
        analyzeSyntax(callback: BodyResponseCallback<Schema$AnalyzeSyntaxResponse>): void;
        /**
         * language.documents.annotateText
         * @desc A convenience method that provides all syntax, sentiment, entity,
         * and classification features in one call.
         * @alias language.documents.annotateText
         * @memberOf! ()
         *
         * @param {object} params Parameters for request
         * @param {().AnnotateTextRequest} params.resource Request body data
         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
         * @param {callback} callback The callback that handles the response.
         * @return {object} Request object
         */
        annotateText(params?: Params$Resource$Documents$Annotatetext, options?: MethodOptions): GaxiosPromise<Schema$AnnotateTextResponse>;
        annotateText(params: Params$Resource$Documents$Annotatetext, options: MethodOptions | BodyResponseCallback<Schema$AnnotateTextResponse>, callback: BodyResponseCallback<Schema$AnnotateTextResponse>): void;
        annotateText(params: Params$Resource$Documents$Annotatetext, callback: BodyResponseCallback<Schema$AnnotateTextResponse>): void;
        annotateText(callback: BodyResponseCallback<Schema$AnnotateTextResponse>): void;
        /**
         * language.documents.classifyText
         * @desc Classifies a document into categories.
         * @alias language.documents.classifyText
         * @memberOf! ()
         *
         * @param {object} params Parameters for request
         * @param {().ClassifyTextRequest} params.resource Request body data
         * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
         * @param {callback} callback The callback that handles the response.
         * @return {object} Request object
         */
        classifyText(params?: Params$Resource$Documents$Classifytext, options?: MethodOptions): GaxiosPromise<Schema$ClassifyTextResponse>;
        classifyText(params: Params$Resource$Documents$Classifytext, options: MethodOptions | BodyResponseCallback<Schema$ClassifyTextResponse>, callback: BodyResponseCallback<Schema$ClassifyTextResponse>): void;
        classifyText(params: Params$Resource$Documents$Classifytext, callback: BodyResponseCallback<Schema$ClassifyTextResponse>): void;
        classifyText(callback: BodyResponseCallback<Schema$ClassifyTextResponse>): void;
    }
    interface Params$Resource$Documents$Analyzeentities extends StandardParameters {
        /**
         * Auth client or API Key for the request
         */
        auth?: string | OAuth2Client | JWT | Compute | UserRefreshClient;
        /**
         * Request body metadata
         */
        requestBody?: Schema$AnalyzeEntitiesRequest;
    }
    interface Params$Resource$Documents$Analyzeentitysentiment extends StandardParameters {
        /**
         * Auth client or API Key for the request
         */
        auth?: string | OAuth2Client | JWT | Compute | UserRefreshClient;
        /**
         * Request body metadata
         */
        requestBody?: Schema$AnalyzeEntitySentimentRequest;
    }
    interface Params$Resource$Documents$Analyzesentiment extends StandardParameters {
        /**
         * Auth client or API Key for the request
         */
        auth?: string | OAuth2Client | JWT | Compute | UserRefreshClient;
        /**
         * Request body metadata
         */
        requestBody?: Schema$AnalyzeSentimentRequest;
    }
    interface Params$Resource$Documents$Analyzesyntax extends StandardParameters {
        /**
         * Auth client or API Key for the request
         */
        auth?: string | OAuth2Client | JWT | Compute | UserRefreshClient;
        /**
         * Request body metadata
         */
        requestBody?: Schema$AnalyzeSyntaxRequest;
    }
    interface Params$Resource$Documents$Annotatetext extends StandardParameters {
        /**
         * Auth client or API Key for the request
         */
        auth?: string | OAuth2Client | JWT | Compute | UserRefreshClient;
        /**
         * Request body metadata
         */
        requestBody?: Schema$AnnotateTextRequest;
    }
    interface Params$Resource$Documents$Classifytext extends StandardParameters {
        /**
         * Auth client or API Key for the request
         */
        auth?: string | OAuth2Client | JWT | Compute | UserRefreshClient;
        /**
         * Request body metadata
         */
        requestBody?: Schema$ClassifyTextRequest;
    }
}