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@juspay/neurolink

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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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/** * Shared type utilities for AI SDK provider integration. * * Provides type-safe helpers to bridge between the AI SDK's generic types * and NeuroLink's internal type system without resorting to `as any` casts. */ import type { LanguageModel, streamText } from "ai"; import type { StreamTextResult } from "../types/index.js"; /** * Extract the model identifier from a LanguageModel value. * * `LanguageModel` in AI SDK v6 is `string | LanguageModelV2 | LanguageModelV3`. * When it's a string it IS the model ID; when it's an object, `.modelId` holds it. * * @param model - The LanguageModel value (string or object). * @param fallback - Value returned when the model ID cannot be determined. */ export declare function getModelId(model: LanguageModel, fallback?: string): string; /** * Adapt an AI SDK `StreamTextResult` (generic, parameterised by TOOLS & OUTPUT) * to the simpler NeuroLink `StreamTextResult` expected by the analytics collector. * * The AI SDK result is a structural superset of our local type — every field our * analytics code reads (`textStream`, `text`, `usage`, `response`, `finishReason`, * `toolResults`, `toolCalls`) exists on the SDK result with compatible types. * This function performs the structural down-cast without `as any`. */ export declare function toAnalyticsStreamResult(result: ReturnType<typeof streamText>): StreamTextResult;