/**
 * @fileoverview Tokenizer implementation for Google Gemini models.
 *
 * This module provides a tokenizer implementation for Google Gemini models.
 *
 * Note: The Google Generative AI library doesn't currently expose a tokenizer,
 * so we use a character-based approximation for now. This should be updated
 * when Google provides an official tokenizer.
 */
import { Tokenizer } from './baseTokenizer';
/**
 * Tokenizer for Google Gemini models
 */
export declare class GeminiTokenizer implements Tokenizer {
    private modelPatterns;
    /**
     * Count the number of tokens in a text using an approximation for Gemini models
     * @param text Text to count tokens for
     * @returns Estimated token count
     */
    countTokens(text: string): number;
    /**
     * Get the model name for this tokenizer
     * @returns 'gemini'
     */
    getModelName(): string;
    /**
     * Check if this tokenizer supports a given model
     * @param modelName Name of the model to check
     * @returns True if the model is supported, false otherwise
     */
    supportsModel(modelName: string): boolean;
}