axiom_engine 0.1.2

Axiom-TTT Inference Engine – Rust implementation using candle
Documentation 
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# pip packaging for the Rust `axiom` binary via maturin.
#
# `pip install axiom-aether` ships the *prebuilt* `axiom` command for the user's
# platform — no Rust toolchain, no compilation. This is intentionally separate
# from the repo-root pyproject.toml (the pure-Python `axiom-engine` reference
# implementation); the two are distinct PyPI packages.
#
# Wheels are built per-platform in CI (release.yml) with `--bin axiom` so only
# the one binary is shipped, not the crate's other dev/bench binaries.
[build-system]
requires = ["maturin>=1.5,<2"]
build-backend = "maturin"

[project]
name = "axiom-aether"
version = "0.1.2"
description = "Axiom-TTT: online test-time-training inference engine and self-healing runtime (prebuilt `axiom` binary)"
readme = "README.md"
requires-python = ">=3.8"
license = { text = "MIT" }
authors = [{ name = "Fernando Garza" }]
keywords = ["ttt", "inference", "llm", "ai", "cli", "self-healing"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Environment :: Console",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Programming Language :: Rust",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

[project.urls]
Homepage = "https://github.com/fernandogarzaaa/AXIOM-AETHER"
Repository = "https://github.com/fernandogarzaaa/AXIOM-AETHER"

[tool.maturin]
# Package Rust binaries (not a Python extension): the wheel installs the `axiom`
# command onto PATH. The crate's dev/training binaries are gated behind the
# `tools` feature (off by default), so a default build — and therefore this
# wheel — ships only the user-facing `axiom` (plus the `axiom_engine` alias).
bindings = "bin"
manifest-path = "Cargo.toml"