AxonX Studio

AxonX 的任务与量化研究工作台，提供任务提交、运行状态、日志和研究结果视图。

安装

pip install "axonx[studio]"
export AXONX_SERVICE_TOKEN='replace-with-your-local-service-token'
axonx start --service.host 127.0.0.1

打开 http://127.0.0.1:1024/，在 Settings → Service token 中填入相同 token。已有 AxonX 环境也可单独安装 axonx-studio。发布包包含静态资源，无需 Node.js 或本地构建。

npm 包分发相同的静态资源：

npm install @flowllm-ai/axonx-studio

资源位于 node_modules/@flowllm-ai/axonx-studio/dist/。此包用于独立静态托管，后端服务仍由 AxonX 提供；静态站点需将 API 请求代理到后端。使用 AxonX 内置托管时，安装上面的 Python 包即可。

源码开发

先从仓库根目录安装核心与开发依赖，再构建 Studio：

pip install -e '.[dev]'
cd axonx_studio
npm ci && npm run build
cd ..
pip install ./axonx_studio

开发服务器、目录结构和验证命令见 Studio 开发，连接与操作见 Studio 入门。

Metadata

Release files for axonx-studio 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for axonx-studio 0.0.1
File	Size	Uploaded
axonx_studio-0.0.1.tar.gz	429.9 kB	Oct 3, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for axonx-studio 0.0.1
File	Interpreter	ABI	Platform	Reset
axonx_studio-0.0.1-py3-none-any.whl 444.6 kB Oct 3, 2026	Python 3	none	any	Details

Total release size: 874.5 kB

Release files / axonx_studio-0.0.1.tar.gz

Download URL	axonx_studio-0.0.1.tar.gz
Size	429.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`a783cd95bd643af38bb628e7bc623fe563463309740e4dbef58e0f701852afe2`
BLAKE2b-256 checksum How to use checksums	`15aadf612064f4189cafba66ba9102a05523b81e77517e08b6de855b7755fa0f`
Upload date	Oct 3, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/FlowLLM-AI/AxonX
Publishing commit: github.com/FlowLLM-AI/AxonX/tree/a1a1f61b27b6b715f59d168381803f44c62454a3

Workflow

Publishing configuration: github.com/FlowLLM-AI/AxonX/blob/a1a1f61b27b6b715f59d168381803f44c62454a3/.github/workflows/release-axonx-studio.yml
Publishing logs: github.com/FlowLLM-AI/AxonX/actions/runs/37090408731/attempts/1

Artifact

Subject: axonx_studio-0.0.1.tar.gz
SHA-256 checksum: a783cd95bd643af38bb628e7bc623fe563463309740e4dbef58e0f701852afe2 Verifying attestations

Release files / axonx_studio-0.0.1-py3-none-any.whl

Download URL	axonx_studio-0.0.1-py3-none-any.whl
Size	444.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`8fc0ad70e5c021fce4896284e64129d80f376f0f1ac5e958c9a71c3f2787599e`
BLAKE2b-256 checksum How to use checksums	`c6238877c52f8634a69292e152ab75966b21929c8cf9bdd5fd01cd745107b359`
Upload date	Oct 3, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/FlowLLM-AI/AxonX
Publishing commit: github.com/FlowLLM-AI/AxonX/tree/a1a1f61b27b6b715f59d168381803f44c62454a3

Workflow

Publishing configuration: github.com/FlowLLM-AI/AxonX/blob/a1a1f61b27b6b715f59d168381803f44c62454a3/.github/workflows/release-axonx-studio.yml
Publishing logs: github.com/FlowLLM-AI/AxonX/actions/runs/37090408731/attempts/1

Artifact

Subject: axonx_studio-0.0.1-py3-none-any.whl
SHA-256 checksum: 8fc0ad70e5c021fce4896284e64129d80f376f0f1ac5e958c9a71c3f2787599e Verifying attestations