token-counting

See what Claude Code and Codex actually send to the API — and what each part costs.

Code intelligence for agents: find the code that matters and keep your context window and tokens lean.

Local LLM cost-tracking proxy for OpenAI, Anthropic, Gemini, and pinned OpenRouter calls with token usage, failure, and billing-integrity receipts.

Small, independent TypeScript packages for LLM plumbing — token budgets, streaming JSON repair, cost accounting, retries, embedding caches. No provider SDKs.

TokenMap is a desktop app for treemap-based codebase analysis by tokens, size, complexity, hotspots, and refactor priority

🚀 Intelligent Claude Code status line with multi-provider AI support, real-time token counting, and universal model compatibility. Supports Claude (Sonnet 4: 1M, 3.5: 200K), OpenAI (GPT-4.1: 1M, 4o: 128K), Gemini (1.5 Pro: 2M, 2.x: 1M), and xAI Grok (3: 1M, 4: 256K) with verified 2025 context limits.

ZAI LLM reverse proxy and metrics dashboard

A local proxy that converts websites and APIs to clean Markdown. Convert HTML pages, JSON APIs, and dynamic sites. Get token counts for LLM budgeting.

Token Optimization for Context Engineers. 4.8 KB WASM. Sub-millisecond. Zero dependencies.

Pure-Go LLM tokenizer and tiktoken-compatible token counter for OpenAI BPE, WordPiece, SentencePiece, Gemini, Llama, Mistral, and Hugging Face adapters.

Lightweight token tracking, cost management, and budget enforcement for LLM API calls

.NET library for accurate token counting, cost calculation, and session-based usage tracking across 12 LLM providers including OpenAI, Anthropic, Google, Azure, and more.

ttok-style token counting for Amazon Bedrock

A high-performance, multi-agent observability engine designed for the Model Context Protocol (MCP). It provides a non-blocking, transparent proxy layer that implements deterministic token attribution, real-time context-window alerting, and heuristic-driven static analysis to optimize LLM metadata overhead at scale.

Local Docker-first AI traffic proxy and operator console.

A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.

High accuracy token counting without the vocabulary.

Open-source LLM FinOps proxy — track OpenAI, Anthropic (Claude), and Google Gemini costs by feature, team, and customer. Zero code changes. pip install burnlens.

VS Code extension + MCP server that validates prompts, routes to the cheapest LLM, and projects token × turn cost before the call. Cuts Copilot premium-request burn on agent loops.