/**
 * @fileoverview Base interface for token and cost estimators.
 *
 * This module defines the common interface that all estimator implementations
 * must follow, ensuring consistent behavior across different AI providers.
 */
/**
 * Cost information for an API call
 */
export interface CostInfo {
    inputTokens: number;
    outputTokens: number;
    totalTokens: number;
    estimatedCost: number;
    formattedCost: string;
}
/**
 * Base interface for token and cost estimators
 */
export interface TokenEstimator {
    /**
     * Estimate the number of tokens in a text
     * @param text Text to estimate tokens for
     * @param modelName Optional model name to use for tokenization
     * @returns Estimated token count
     */
    estimateTokenCount(text: string, modelName?: string): number;
    /**
     * Calculate the cost for a given number of input and output tokens
     * @param inputTokens Number of input tokens
     * @param outputTokens Number of output tokens
     * @param modelName Name of the model (optional, uses default if not provided)
     * @returns Estimated cost in USD
     */
    calculateCost(inputTokens: number, outputTokens: number, modelName?: string): number;
    /**
     * Format a cost value as a currency string
     * @param cost Cost value in USD
     * @returns Formatted cost string
     */
    formatCost(cost: number): string;
    /**
     * Get cost information based on token counts
     * @param inputTokens Number of input tokens
     * @param outputTokens Number of output tokens
     * @param modelName Name of the model (optional)
     * @returns Cost information
     */
    getCostInfo(inputTokens: number, outputTokens: number, modelName?: string): CostInfo;
    /**
     * Get cost information based on text
     * @param inputText Input text
     * @param outputText Output text
     * @param modelName Name of the model (optional)
     * @returns Cost information
     */
    getCostInfoFromText(inputText: string, outputText: string, modelName?: string): CostInfo;
    /**
     * Get the default model name for this estimator
     * @returns Default model name
     */
    getDefaultModel(): string;
    /**
     * Check if this estimator 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;
}