Save Token AI GitHub: Top 5 Open Source Tools to Reduce API Costs in 2026

Save Token AI GitHub: 5 open-source tools to cut API costs, combined for best results.

💡 What You Will Learn

Save Token AI GitHub: 5 open-source tools to cut API costs, combined for best results.

5 open-source GitHub tools to cut AI API costs: save2kb compresses long text into compact format before sending, big savings for web content and RAG. llm-cache is a Redis-based response cache, identical or similar questions skip the API entirely. gpt-tokenizer counts tokens before sending, blocking or truncating over-budget requests. LLMLingua and prompt-compressor compress prompts, trimming redundant sentences while keeping key instructions. Langfuse, Helicone and LiteLLM tag and monitor every call so you can find the few expensive calls behind most of the bill. Combine compression, caching, token counting and monitoring for the best results. Reported 70-90 percent savings apply to specific scenarios with many repeated and long-context calls; measure your own usage. Check each project's docs and maintenance status before adopting.