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Customize Claude Code's system prompts, create custom toolsets, input pattern highlighters, themes/thinking verbs/spinners, customize input box & user message styling, support AGENTS.md, unlock private/unreleased features, and much more. Supports both native/npm installs on all platforms.
Intercept LLM API traffic and visualize token usage in a real-time terminal dashboard. Track costs, debug prompts, and monitor context window usage across your AI development sessions.
Local streaming reverse proxy between AI coding agents (Claude Code, Cursor, Codex) and model APIs (Anthropic, OpenAI, Gemini, MiniMax). Meters every token + USD cost, compacts bloated context to cut pay-per-token API spend, and runs shadow-eval to prove quality held. ccusage-style metering + live local dashboard.
Open-source context engineering for AI coding: context budget, Claude Code, GitHub Copilot and Codex usage in tokens or API-equivalent cost, tab relevance, current model pricing, code maps, and workspace security.
Free LLM token counter: see how GPT-4 and GPT-4o split your prompt into tokens, which lines cost the most, and which wordy phrases to cut, with savings measured by re-tokenizing. Windows .exe, macOS, Linux. Uses tiktoken.
A token counter answers two questions before you send a request: does the prompt fit, and what will it cost. How counting works and where estimates go wrong.
tokdu (Token Disk Usage) is a terminal-based utility that helps you analyze and visualize token usage in your codebase. Similar to the classic du (disk usage) command, tokdu shows you how many tokens your files and directories consume, which is essential when working with Large Language Models (LLMs) that have token limits.