Skip to content
Tech News
← Back to articles

Show HN: Id-agent – Token efficient UUID alternative for AI agents

read original get UUID Generator Tool → more articles
Why This Matters

The id-agent library introduces a more efficient, human-readable alternative to UUIDs for AI agents, reducing token costs and hallucination issues in language models. Its configurable, collision-resistant IDs enhance both human and machine interactions, making it a significant advancement for AI development and user experience. This innovation could streamline ID management across AI applications, improving performance and reliability.

Key Takeaways

Token efficient IDs for AI agents

Where UUIDs cost ~23 tokens and get hallucinated by LLMs, id-agent produces memorable word-based IDs at ~14 tokens with equivalent collision resistance. The first ID library built for the context window, not the database.

Human-readable -- word-based IDs that humans and LLMs can actually remember

-- word-based IDs that humans and LLMs can actually remember Token-efficient -- every word in the wordlist is exactly 1 BPE token on o200k_base

-- every word in the wordlist is exactly 1 BPE token on o200k_base Collision-safe -- configurable entropy from ~12 to ~192 bits

-- configurable entropy from ~12 to ~192 bits Validated inputs -- zod-powered schema validation on all public APIs

Token Cost Comparison

Format Example Tokens (o200k_base) Collision Resistance UUID v4 89b842d9-6df9-4cf4-8db0-9dc3aed3cfd7 ~23 122 bits id-agent (default, 8 words) urd-antes-sorry-pac-dire-total-expire-going ~14 ~96 bits id-agent (5 words) frame-beer-bell-tog-hoot ~8 ~60 bits

id-agent — 8 words, 43 chars, 12 tokens

... continue reading