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Tongflow / Openflow plugin package (node contracts, deploy scan, ABI helpers)

Project description

tongflow (PyPI)

pip install tongflow installs the Python import name tongflow (plugin contracts, deploy.py scan, node slot metadata).

Install

pip install tongflow

Use

from tongflow.slots import node_slot
from tongflow.node_slots import NodeSlots
from tongflow import current_app

In this monorepo, Modal impl.py / stub deploy.py images pin tongflow==0.0.2 (PyPI). Bump the version string in those files when you publish a new release.

Plugin identity

Plugin Python source is the single source of truth. The scanner derives plugin runtime configuration from code and AST; do not add per-plugin JSON manifests.

For every plugin repository, these names must be identical:

  • directory name
  • pluginId
  • Modal app name
  • git repository name

Use tongflow-modal-<semantic-name> for Modal plugins and tongflow-llm-<semantic-name> for LLM plugins, such as tongflow-modal-docling, tongflow-modal-qwen3asr, or tongflow-llm-openai. Do not encode hardware details in the name, such as gpu or cpu.

Runner detection is prefix-based and validated against the entry files:

  • tongflow-modal-* with deploy.py: Modal plugin
  • tongflow-llm-* with entry.py: LLM plugin
  • both files or neither file: scanner error

Modal plugins should derive their app from the directory name:

from tongflow import current_app

app = current_app(__file__)

Future plugin-level metadata must be declared as top-level UPPER_CASE literals in deploy.py or entry.py so the scanner can extract it with AST. Do not reintroduce JSON configuration files.

Build and publish (maintainers)

From the Openflow repo root:

export TWINE_USERNAME=__token__
export TWINE_PASSWORD=pypi-xxxxxxxx   # https://pypi.org/manage/account/token/
pnpm tongflow:publish

This runs scripts/publish-tongflow-pypi.sh (clean, python -m build, twine check, twine upload).

TestPyPI: TONGFLOW_UPLOAD_TESTPYPI=1 pnpm tongflow:publish (use a TestPyPI token).

Manual equivalent from sdk/: python -m pip install build twine && python -m build && python -m twine upload dist/*

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