generated: '2026-07-20'
method: searched
source: https://github.com/radixark
note: >-
  RadixArk publishes open-source AI-infrastructure frameworks rather than API
  client SDKs (the company exposes no public REST/HTTP API at this time). These
  are the first-party software packages distributed by the RadixArk GitHub
  organization. SGLang is a closely affiliated inference engine promoted by
  RadixArk but its canonical home is the independent sgl-project organization,
  so it is recorded here as related (official: false).
packages:
  - language: python
    registry: github
    name: miles
    url: https://github.com/radixark/miles
    install: pip install -e . (from source; git clone https://github.com/radixark/miles)
    license: Apache-2.0
    description: Enterprise-facing reinforcement learning framework for LLM and VLM post-training.
    official: true
  - language: python
    registry: github
    name: miles_diffusion
    url: https://github.com/radixark/miles_diffusion
    install: pip install -e . (from source; git clone https://github.com/radixark/miles_diffusion)
    license: Apache-2.0
    description: Post-training framework for large-scale diffusion model training and production workloads.
    official: true
  - language: rust
    registry: github
    name: sgl-router-for-miles
    url: https://github.com/radixark/sgl-router-for-miles
    description: Router component for the Miles framework.
    official: true
  - language: python
    registry: pypi
    name: sglang
    url: https://pypi.org/project/sglang/
    install: pip install sglang
    homepage: https://www.sglang.io/
    source: https://github.com/sgl-project/sglang
    description: Fast serving framework for large language models and vision language models; promoted by RadixArk but maintained under the independent sgl-project organization.
    official: false