dsh-whiskey-intro

Stepping into the world of whiskey, with its single malts, bourbons, ryes, and blends, can feel overwhelming for anyone starting out. dsh-whiskey-intro tackles exactly that pain point: instead of wading through forums, tasting notes, or lengthy wine lists, you simply feed in the parameters you care about and receive a structured set of whiskey recommendations tailored to your preferences.

Under the hood, the single tool whiskey_intro accepts inputs such as style, body, and flavour direction and returns a matched list of spirits. The entire implementation is pure Node.js with zero external network dependencies, so it runs completely offline, is trivial to invoke, and drops naturally into any local model-inference pipeline without adding latency or fragile API calls.

It is well suited for beginners charting their first whiskey, bartenders and hospitality pros matching base spirits on the fly, menu writers drafting drink programmes, and any developer who wants spirit-recommendation logic embedded inside an LLM reasoning workflow.