decido

Calibrated decisions from a document — on a laptop CPU or a GPU. Give Decido a document and questions (yes/no, pick-one, or an ordered scale) and get a probability for every answer. This package runs the Decido 1 models from the Hugging Face Hub.

pip install decido-ai
decido build-runtime      # only on Linux / Intel Macs (one-time, needs cmake + a C++ compiler); Apple Silicon Macs: skip

from decido import Decido

m = Decido("decido-ai/decido-1-fast-1.7b")      # or decido-1-26b-a4b (most accurate on CPU), decido-1-ultra-0.6b (fastest)
m.decide("Customer: I was charged twice for order 4821. Please refund one of the charges today.",
         {"refund": "Is the customer asking for a refund?",
          "team": {"q": "Which team should handle this?", "options": ["billing", "shipping", "tech"]},
          "urgency": {"q": "How urgent is it?", "scale": ["low", "normal", "urgent"]}})

decido models                                   # the family, with scores and latency
decido run decido-ai/decido-1-fast-1.7b "Customer: charged twice" -q refund="Is a refund requested?"
decido serve decido-ai/decido-1-26b-a4b         # Jev-compatible HTTP API on http://127.0.0.1:8080/v1/systemone

GPU extras: pip install "decido-ai[gpu]" (transformers), "decido-ai[xl]", "decido-ai[pro]" (vLLM). Results, calibration, disclosures and limitations are on each model card. License: Apache-2.0; the CPU runtime links llama.cpp (MIT).