preburner 0.0.0

Portable, embeddable local AI runtime for private on-device agents.

Preburner

Portable, embeddable local AI runtime for private on-device agents.

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Status — read this first

This release (0.0.0) is the distribution scaffold. It carries no engine and no inference API; nothing should depend on it.

Preburner is a Rust LLM inference engine focused on batch-1 decode speed, cold start, and memory footprint on Apple Silicon (Metal), NVIDIA, and later Vulkan/Android. Its Python binding is a compiled PyO3/abi3 wheel that publishes as 0.1.0 and later under this same name. Installing that version replaces this one:

pip install --upgrade preburner

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Installation

pip install preburner

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Quick Start

What the current release supports is self-description:

from preburner import about

info = about()

print(info["name"])          # preburner
print(info["organisation"])  # Preburner
print(info["version"])       # the installed version

from preburner import __version__, __version_info__

print(__version__)                    # '0.0.0'
print(__version_info__ < (0, 1, 0))   # True — the engine owns 0.1.0+

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Command-Line Interface

# Human-readable report
preburner

# Machine-readable report
preburner --json

# Show version
preburner --version

# Help
preburner --help

python -m preburner works identically.

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API Reference

about() -> dict[str, str]

Describe this distribution.

Returns:

• dict[str, str]: a mapping of name, version, organisation, status, summary, license, homepage and contact.

Every value is read from the package's version module, except version, which comes from the installed distribution metadata — so on a machine running the real engine wheel it reports 0.1.0 or later.

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Requirements

• Python >= 3.10, < 4.0
• No runtime dependencies

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License

Apache-2.0. Copyright © 2026 Preburner.

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Links

• Homepage: https://github.com/preburner/preburner
• PyPI: https://pypi.org/project/preburner/

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Support

For questions and support, please contact [e-mail].

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Made with ♥ by Preburner