Counting openAI usage fees
Cloudflare Workers MCP server wrapper: ai-token-counter
Count the number of OpenAI tokens in a string. Supports all OpenAI Text models including GPT-5, GPT-4, GPT-3.5-turbo, and specialized models
Real-time token counter and cost calculator for AI APIs
Fast, zero-network token counter for LLM workflows (tcount CLI)
MCP server that accurately counts and tracks every Claude Code token — input, output, cache, and planning
Javascript token counter for GPT-3
统计文本/文件token数的CLI工具，支持多种编码估算
File-based token counter CLI powered by tiktoken
Browser-compatible token counter for LLM content blocks using js-tiktoken
🔬 Open-source Prompt Debugger for LLMs — token counter, cost tracker (₹/$), streaming, multi-provider (Groq, OpenAI, Together AI)
Memory management for Mastra agents. Visit [the docs](https://mastra.ai/docs/memory/overview) for more information.
CSS Counter Styles Level 3 and presets
Count bytes passing through a stream
Lightweight trimmed down encoder/decoder/tokenizer/token counter for gpt3 that is compatible with both node and browser environments
A JavaScript implementation of UUID version 7
A React hook for managing counters
Downloade counter for the swc project
🔢 Ultra-fast token counter for files and text - supports GPT models, Claude, and more!
A pure JavaScript React Native component to render CSS3 compliant ordered and unordered lists.
Manage state with style in every framework
RFC 4226 HOTP implementation for otplib
OpenClaw skill: Count tokens and estimate costs for 300+ LLM models. Audit workspace token consumption (memory, persona, skills).
Discard unused counter styles, keyframes and fonts.
`wc` for tokens: count tokens in files with HF Tokenizers
Circuit breaker, retry, and rate limiter primitives for Nexo agents.
LLM provider clients (MiniMax, OpenAI-compat, Anthropic, Gemini) with rate limiter and tool registry.
A local operations CLI for Codex auth, usage, and limit workflows.
Link.Assistant.Router — Claude MAX OAuth proxy and token gateway for Anthropic APIs
A3S Power — Privacy-preserving LLM inference for TEE environments
Approximate token counts for LLM messages, system prompts, and tools. Zero-config chars/4 heuristic, BYO tokenizer, content-block aware (text/image/tool_use/tool_result/document). One serde_json dep.
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