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ClawCache Free

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Track LLM costs and cache smartly in Python.

Software Engineering#caching#python#llm#sqlite#cost-tracking#token-counting#clawcache
AuthorAbYousef739
Version1.0.0
Installs0

System Documentation

What problem does it solve?

ClawCache Free helps developers automatically track every penny spent on LLM API calls and cache responses to dramatically reduce costs, with per‑call token counting, daily reports, and multi‑provider support.

Core Features & Use Cases

  • Automatic cost logging with per‑call token counting across multiple providers (OpenAI, Anthropic, Mistral, Ollama)
  • Daily CLI reports showing spending, savings, and cache efficiency
  • Exact‑match caching using SQLite with composite keys (model + prompts + parameters) for high hit rates
  • Security and reliability features: pickle opt‑in, SQLite WAL mode, cross‑platform file locking
  • Real‑world use cases: Code Review, Data Analysis, Content Generation, QA Support

Quick Start

Install clawcache and wrap your LLM call with monitor_cost or async_monitor_cost to start tracking costs and caching.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ClawCache Free
Download link: https://github.com/AbYousef739/clawcache-free/archive/main.zip#clawcache-free

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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