Experimental Python library

Python, but == can understand meaning.

Semantic Python is an opt-in value layer that turns backend inference into inspectable decisions. Ordinary Python stays deterministic; only explicitly wrapped Semantic(...) values can invoke a model.

Compare Jev, Laya, and Semantic Python Install from PyPI 
from semantic_python import Semantic

message = Semantic("I'm done")

if message == "the user wants to stop":
    exit()

Explicit boundary

Normal Python remains normal

Plain strings keep literal equality. Model-backed judgment begins only after explicit wrapping.

Inspectable

More than a Boolean

Every decision retains probability, backend and model provenance, proposition, and a state digest.

Backend-neutral

Local, hosted, or fake

Use Laya locally, OpenAI remotely, or the deterministic fake backend for offline tests.