@ai-sdk/google-vertex/dist/xai/edge/index.d.ts

The **[Google Vertex provider](https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the [Google Vertex AI](https://cloud.google.com/vertex-ai) APIs.

import { ProviderV3, LanguageModelV3 } from '@ai-sdk/provider';
import { Resolvable, FetchFunction } from '@ai-sdk/provider-utils';

interface GoogleCredentials {
    /**
     * The client email for the Google Cloud service account. Defaults to the
     * value of the `GOOGLE_CLIENT_EMAIL` environment variable.
     */
    clientEmail: string;
    /**
     * The private key for the Google Cloud service account. Defaults to the
     * value of the `GOOGLE_PRIVATE_KEY` environment variable.
     */
    privateKey: string;
    /**
     * Optional. The private key ID for the Google Cloud service account. Defaults
     * to the value of the `GOOGLE_PRIVATE_KEY_ID` environment variable.
     */
    privateKeyId?: string;
}

type GoogleVertexXaiModelId = 'xai/grok-4.20-reasoning' | 'xai/grok-4.20-non-reasoning' | 'xai/grok-4.1-fast-reasoning' | 'xai/grok-4.1-fast-non-reasoning' | (string & {});

interface GoogleVertexXaiProvider extends ProviderV3 {
    /**
     * Creates a model for text generation.
     */
    (modelId: GoogleVertexXaiModelId): LanguageModelV3;
    /**
     * Creates a model for text generation.
     */
    languageModel(modelId: GoogleVertexXaiModelId): LanguageModelV3;
    /**
     * Creates a chat model for text generation.
     */
    chatModel(modelId: GoogleVertexXaiModelId): LanguageModelV3;
    /**
     * @deprecated Use `embeddingModel` instead.
     */
    textEmbeddingModel(modelId: string): never;
}
interface GoogleVertexXaiProviderSettings$1 {
    /**
     * Google Cloud project ID. Defaults to the value of the `GOOGLE_VERTEX_PROJECT` environment variable.
     */
    project?: string;
    /**
     * Google Cloud location/region. Defaults to the value of the `GOOGLE_VERTEX_LOCATION` environment variable.
     * Use 'global' for the global endpoint.
     */
    location?: string;
    /**
     * Base URL for the API calls. If not provided, will be constructed from project and location.
     */
    baseURL?: string;
    /**
     * Headers to use for requests. Can be:
     * - A headers object
     * - A Promise that resolves to a headers object
     * - A function that returns a headers object
     * - A function that returns a Promise of a headers object
     */
    headers?: Resolvable<Record<string, string | undefined>>;
    /**
     * Custom fetch implementation. You can use it as a middleware to intercept requests,
     * or to provide a custom fetch implementation for e.g. testing.
     */
    fetch?: FetchFunction;
}

interface GoogleVertexXaiProviderSettings extends GoogleVertexXaiProviderSettings$1 {
    /**
     * Optional. The Google credentials for the Google Cloud service account. If
     * not provided, the Google Vertex provider will use environment variables to
     * load the credentials.
     */
    googleCredentials?: GoogleCredentials;
}
/**
 * Create a Google Vertex AI xAI provider instance for Edge runtimes.
 * Uses the OpenAI-compatible Chat Completions API for Grok partner models.
 * Automatically handles Google Cloud authentication.
 *
 * @see https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/grok
 */
declare function createGoogleVertexXai(options?: GoogleVertexXaiProviderSettings): GoogleVertexXaiProvider;
/**
 * Default Google Vertex AI xAI provider instance for Edge runtimes.
 */
declare const googleVertexXai: GoogleVertexXaiProvider;

export { type GoogleVertexXaiModelId, type GoogleVertexXaiProvider, type GoogleVertexXaiProviderSettings, createGoogleVertexXai, googleVertexXai };