@bobmatnyc/ai-code-review/dist/estimators/abstractEstimator.d.ts

A TypeScript-based tool for automated code reviews using AI models from Google Gemini, Anthropic Claude, and OpenRouter

/**
 * @fileoverview Abstract base class for token and cost estimators.
 *
 * This module provides a common implementation for token estimators that
 * can be extended by specific provider implementations.
 */
import { CostInfo, TokenEstimator } from './baseEstimator';
/**
 * Abstract base class for token and cost estimators
 */
export declare abstract class AbstractTokenEstimator implements 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
     */
    abstract 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
     */
    abstract 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
     */
    abstract supportsModel(modelName: string): boolean;
}