opensyndrome 0.1.2

Everything in between human- and machine-readable syndromes.

open-syndrome-python

Installation

You can install it from PyPI or Docker. To use the conversion features, you will need to have Ollama installed.

From PyPi, install the package with pip install opensyndrome. Then run it with osi --help.

From Docker, you can run the following command to build the image, tagged osi:

docker build -t opensyndrome .

Run the container interactively, removing it when it exits

docker run --rm -it opensyndrome

To read a .env file, mount it:

docker run --rm -it \
  -v "$(pwd)/.env:/app/.env:ro" \
  opensyndrome

To name the container and keep it around:

docker run --name opensyndrome-cli -it opensyndrome

Usage

First, download the schema and definitions in order to work with the CLI locally.

osi download schema
osi download definitions

The files will be placed in the folder .open_syndrome in $HOME.

Convert a human-readable syndrome definition to a machine-readable JSON

You need to have Ollama installed locally to use this feature. Pull the models you want to use with osi before running the command. We have tested llama3.2, mistral, and deepseek-r1 so far.

Don't go well with structured output: qwen2.5-coder

osi convert
osi convert --model mistral

# to have the JSON translated to a specific language and edit it just after conversion
osi convert --language "Português do Brasil" --model mistral --edit

# include a validation step after conversion
osi convert --validate

Convert a machine-readable JSON syndrome definition to a human-readable format

osi humanize <path-to-json-file>
osi humanize <path-to-json-file> --model mistral
osi humanize <path-to-json-file> --model mistral --language "Português do Brasil"

Validate a machine-readable JSON syndrome definition

osi validate

Development

To get started with development, you need to have Poetry installed.

Install dependencies

uv sync

Generate Ollama-compatible JSON

You only need to do this if you are a maintainer adding a new OSI schema or updating an existing one.

Since Ollama requires a specific, more simple, JSON format, we need to generate an Ollama-compatible schema. To do this, we use datamodel-code-generator to generate a Pydantic schema. Run the following command to update it:

make ollama_schema

It will create a schema.py file in the root of the project. Be careful when editing this file manually.

Citing & Authors

If you find this repository helpful, feel free to cite our publication: The Open Syndrome Definition

@misc{ferreira2025opensyndromedefinition,
      title={The Open Syndrome Definition},
      author={Ana Paula Gomes Ferreira and Aleksandar Anžel and Izabel Oliva Marcilio de Souza and Helen Hughes and Alex J Elliot and Jude Dzevela Kong and Madlen Schranz and Alexander Ullrich and Georges Hattab},
      year={2025},
      eprint={2509.25434},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2509.25434},
}