Token-Efficient Identifiers: Building IDs for LLM Context, Not Databases

Traditional UUIDs consume ~23 tokens when processed by LLMs and are prone to hallucination, wasting precious context window space. id-agent replaces them with memorable word-based identifiers that use only ~14 tokens, improving readability for both humans and AI models. For applications with constrained token budgets, this practical optimization directly enhances response quality and cost efficiency.