@cyanheads/git-mcp-server/dist/utils/metrics/tokenCounter.d.ts

An MCP (Model Context Protocol) server enabling LLMs and AI agents to interact with Git repositories. Provides tools for comprehensive Git operations including clone, commit, branch, diff, log, status, push, pull, merge, rebase, worktree, tag management,

import { ChatCompletionMessageParam } from "openai/resources/chat/completions";
import { RequestContext } from "../index.js";
/**
 * Calculates the number of tokens for a given text using the 'gpt-4o' tokenizer.
 * Uses ErrorHandler for consistent error management.
 *
 * @param text - The input text to tokenize.
 * @param context - Optional request context for logging and error handling.
 * @returns The number of tokens.
 * @throws {McpError} Throws an McpError if tokenization fails.
 */
export declare function countTokens(text: string, context?: RequestContext): Promise<number>;
/**
 * Calculates the number of tokens for chat messages using the ChatCompletionMessageParam structure
 * and the 'gpt-4o' tokenizer, considering special tokens and message overhead.
 * This implementation is based on OpenAI's guidelines for gpt-4/gpt-3.5-turbo models.
 * Uses ErrorHandler for consistent error management.
 *
 * See: https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
 *
 * @param messages - An array of chat messages in the `ChatCompletionMessageParam` format.
 * @param context - Optional request context for logging and error handling.
 * @returns The estimated number of tokens.
 * @throws {McpError} Throws an McpError if tokenization fails.
 */
export declare function countChatTokens(messages: ReadonlyArray<ChatCompletionMessageParam>, // Use the complex type
context?: RequestContext): Promise<number>;
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