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Universal AI Development Platform with working MCP integration, multi-provider support, voice (TTS/STT/realtime), and professional CLI. 58+ external MCP servers discoverable, multimodal file processing, RAG pipelines. Build, test, and deploy AI applicatio

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import { type LanguageModel } from "ai"; import { type AIProviderName } from "../constants/enums.js"; import { BaseProvider } from "../core/baseProvider.js"; import type { StreamOptions, StreamResult, NeurolinkCredentials } from "../types/index.js"; export declare class AzureOpenAIProvider extends BaseProvider { private apiKey; private resourceName; private deployment; private apiVersion; private azureProvider; constructor(modelName?: string, sdk?: unknown, _region?: string, credentials?: NeurolinkCredentials["azure"]); getProviderName(): AIProviderName; getDefaultModel(): string; /** * Returns the Vercel AI SDK model instance for Azure OpenAI. * Uses .chat() explicitly because @ai-sdk/azure v3+ defaults the bare * provider() call to the Responses API, which many Azure deployments * do not support yet. */ getAISDKModel(): LanguageModel; protected formatProviderError(error: unknown): Error; protected executeStream(options: StreamOptions, _analysisSchema?: unknown): Promise<StreamResult>; } export default AzureOpenAIProvider;