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TypeScript
import type { ZodType, ZodTypeDef } from "zod";
import { type Schema, type LanguageModelV1 } from "ai";
import type { AIProviderName } from "../core/types.js";
import type { StreamOptions, StreamResult } from "../types/streamTypes.js";
import { BaseProvider } from "../core/baseProvider.js";
/**
* Google Vertex AI Provider v2 - BaseProvider Implementation
*
* PHASE 3.5: Simple BaseProvider wrap around existing @ai-sdk/google-vertex implementation
*
* Features:
* - Extends BaseProvider for shared functionality
* - Preserves existing Google Cloud authentication
* - Maintains Anthropic model support via dynamic imports
* - Uses pre-initialized Vertex instance for efficiency
* - Enhanced error handling with setup guidance
*/
export declare class GoogleVertexProvider extends BaseProvider {
private vertex;
private model;
private projectId;
private location;
private cachedAnthropicModel;
constructor(modelName?: string, sdk?: unknown);
protected getProviderName(): AIProviderName;
protected getDefaultModel(): string;
/**
* Returns the Vercel AI SDK model instance for Google Vertex
* Handles both Google and Anthropic models
*/
protected getAISDKModel(): Promise<LanguageModelV1>;
protected executeStream(options: StreamOptions, analysisSchema?: ZodType<unknown, ZodTypeDef, unknown> | Schema<unknown>): Promise<StreamResult>;
protected handleProviderError(error: unknown): Error;
private validateStreamOptions;
/**
* Check if Anthropic models are available
* @returns Promise<boolean> indicating if Anthropic support is available
*/
hasAnthropicSupport(): Promise<boolean>;
/**
* Create an Anthropic model instance if available
* @param modelName Anthropic model name (e.g., 'claude-3-sonnet@20240229')
* @returns LanguageModelV1 instance or null if not available
*/
createAnthropicModel(modelName: string): Promise<LanguageModelV1 | null>;
}
export default GoogleVertexProvider;