Token-Oriented Object Notation for Go – JSON for LLMs at half the token cost

Token burn reducer and focus keeper for Claude Code, Codex, Gemini CLI, Cline, Windsurf, Aider, Cursor, Copilot, and more: surgical read hints, PDF/Office/CSV/markdown file interception, 160+ filter & interception rules, compact manifest injection, image shrinking, and much more.

Local dashboard for visualizing usage across seven AI coding agents - sessions, token costs, cache performance, tool calls, and daily breakdowns

Build a private evaluation dataset to optimize your organization's token costs.

Local hooks that catch vague AI-agent prompts before they burn tokens.

An MCP (Model Context Protocol) server that provides real-time LLM token pricing data for 60+ AI models across 15 providers.

OpenLLM Monitor 📊 is a plug-and-play, real-time observability dashboard 🔍 for monitoring and debugging LLM API calls across OpenAI 🤖, Ollama 🦙, OpenRouter 🌐, and more. It tracks tokens 🧮, latency ⏱️, cost 💸, retries 🔁, and lets you replay prompts 🔄. Fully open-source 🌍 and self-hostable 🛠️.

Time estimation MCP server for AI agents: PERT, COCOMO II, Monte Carlo, sprint forecasting, token-to-time mapping, cost estimation, and schedule risk tools.

阿里云百炼大模型 Token 账单解析工具 | Alibaba Cloud Bailian LLM Token Billing Parser - Parse, analyze and summarize daily AI model token costs

A retrieval-augmented generation pipeline in Python with a rigorous offline evaluation harness. Chunks and embeds documents, retrieves by vector similarity, and generates grounded answers — with pluggable LLM providers (including a deterministic local fake for tests) and metrics for retrieval quality and answer faithfulness. No API key required.

CacheGuard（缓存卫士）— a drop-in proxy that keeps DeepSeek's server-side prefix-cache stable in front of any coding agent, so cache-hit pricing never silently breaks.

Compare LLM API pricing from your terminal. Supports 300+ models across all major providers. https://x.com/saqibameen

Generate a local dashboard from Codex CLI / Claude Code / Cursor agent logs

Harness-neutral KV/prefix-cache proxy for coding agents — intercepts OpenAI-compatible chat traffic, tracks prefix stability, cuts token spend

Token cost comparison: why higher-level languages win for LLM-assisted coding

Source model capabilities and pricing from OpenRouter for cost-aware development without hardcoded data tables

Zero-dependency Python CLI + MCP server for comparing LLM API costs across 144 models and 22 providers (OpenAI, Anthropic, Google, Mistral, xAI, DeepSeek, Groq...)

An Investigation Across Two MCP Servers, Two Frontier Models, and 20 Controlled Benchmark Runs

Token Price Estimation for LLMs