Token-Oriented Object Notation for Go – JSON for LLMs at half the token cost
-
Updated
Nov 24, 2025 - Go
Token-Oriented Object Notation for Go – JSON for LLMs at half the token cost
Token burn reducer and focus keeper for Claude Code, Codex, Copilot, Gemini CLI, and more: surgical read hints, PDF/Office/CSV/markdown file interception, 160+ filter & interception rules, compact manifest injection, image shrinking, cache and compact skills, cache MCP calls, prompt injection protections, and much more.
Local dashboard for visualizing usage across seven AI coding agents - sessions, token costs, cache performance, tool calls, and daily breakdowns
Time estimation MCP server for AI agents: PERT, COCOMO II, Monte Carlo, sprint forecasting, token-to-time mapping, cost estimation, and schedule risk tools.
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.
Archived standalone snapshot. Active development continues in the consolidated cli-lab monorepo.
Cost-aware multi-model orchestration for Codex CLI: route hard work to strong agents, replay proven paths with cheaper agents, and track cost, memory, and project evolution.
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 🛠️.
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.
Compare LLM API pricing from your terminal. Supports 300+ models across all major providers. https://x.com/saqibameen
MCP server: token cost math for LLM API calls, 69 models across 17 providers, prices verified by ComparEdge
See what your AI coding agent cost, itemized on every pull request. Token & dollar tracking for Claude Code, Cursor, Copilot, Aider & any OpenAI/Anthropic tool. Local ledger, sticky PR comment, GitHub Action, and dashboard.
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.
CachePin
Guide pédagogique pour comprendre, prévenir et maîtriser la dérive des coûts des LLM : tokens, budgets, contexte, agents et garde-fous.
Token cost comparison: why higher-level languages win for LLM-assisted coding
Open, official-source-linked AI API pricing dataset and JSON/CSV API for OpenAI, Anthropic, Gemini, xAI, DeepSeek, Mistral and Cohere.
Add a description, image, and links to the token-cost topic page so that developers can more easily learn about it.
To associate your repository with the token-cost topic, visit your repo's landing page and select "manage topics."