Skip to main content

Python bindings for AX Engine

Project description

AX Engine

High-performance local inference engine for Apple Silicon — Python bindings.

Installation

Python (pip)

pip install ax-engine

Requires macOS 14+, Apple Silicon (M2 Max or newer), Python 3.10+.

Command-line tools (Homebrew)

To install the ax-engine-server HTTP adapter and ax-engine-bench CLI:

brew install defai-digital/ax-engine/ax-engine

Then verify:

ax-engine-server --help
ax-engine-bench doctor

Quick start

import ax_engine

session = ax_engine.Session(mlx=True, mlx_model_artifacts_dir="/path/to/model")
result = session.generate([token_id, ...], max_output_tokens=128)
print(result.output_tokens)

Or use the OpenAI-compatible shim:

python -m ax_engine.openai_server \
    --model-id my-model \
    --mlx-model-artifacts-dir /path/to/model \
    --tokenizer /path/to/tokenizer.json \
    --port 8080

Then point any OpenAI client at http://127.0.0.1:8080.

Optional dependencies

pip install "ax-engine[openai]"   # FastAPI + uvicorn for the OpenAI shim
pip install "ax-engine[download]" # mlx-lm for model downloading helpers

Requirements

  • macOS 14 (Sonoma) or later
  • Apple Silicon — M2 Max / M2 Ultra / M3 / M4 family (32 GB RAM minimum)
  • Python 3.10+

Source

github.com/defai-digital/ax-engine

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ax_engine-5.1.13-cp310-abi3-macosx_26_0_arm64.whl (57.2 MB view details)

Uploaded CPython 3.10+macOS 26.0+ ARM64

File details

Details for the file ax_engine-5.1.13-cp310-abi3-macosx_26_0_arm64.whl.

File metadata

File hashes

Hashes for ax_engine-5.1.13-cp310-abi3-macosx_26_0_arm64.whl
Algorithm Hash digest
SHA256 4ca95ddbeebd13960f079c4117431961bf28361afa5ef98ceb37807e542b3bce
MD5 1e466fb960f6d68b1a887884b1376b3d
BLAKE2b-256 19d69354c4e1bacb4e6fd0b38638f74eb6b369f560b1dc33502346b4becde081

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page