import type { GoogleGenAIOptions } from './types'; /** * Extract model from parameters or chat context object * For chat instances, the model is available on the chat object as 'model' (older versions) or 'modelVersion' (newer versions) */ export declare function extractModel(params: Record, context?: unknown): string; /** * Instrument a Google GenAI client with Sentry tracing * Can be used across Node.js, Cloudflare Workers, and Vercel Edge * * @template T - The type of the client that extends client object * @param client - The Google GenAI client to instrument * @param options - Optional configuration for recording inputs and outputs * @returns The instrumented client with the same type as the input * * @example * ```typescript * import { GoogleGenAI } from '@google/genai'; * import { instrumentGoogleGenAIClient } from '@sentry/core'; * * const genAI = new GoogleGenAI({ apiKey: process.env.GOOGLE_GENAI_API_KEY }); * const instrumentedClient = instrumentGoogleGenAIClient(genAI); * * // Now both chats.create and sendMessage will be instrumented * const chat = instrumentedClient.chats.create({ model: 'gemini-1.5-pro' }); * const response = await chat.sendMessage({ message: 'Hello' }); * ``` */ export declare function instrumentGoogleGenAIClient(client: T, options?: GoogleGenAIOptions): T; //# sourceMappingURL=index.d.ts.map