pipelex-tools-py

Python bindings for Pipelex Tools. This package installs the importable pipelex_tools module for formatting and linting MTHDS content in-process, without shelling out to the plxt CLI.

What is MTHDS? MTHDS is an open standard for defining AI methods as typed, composable, human-readable TOML files. A .mthds file describes what an AI should do: its inputs, outputs, logic, and data types. Pipelex is the runtime that executes them.

Installation

pip install pipelex-tools-py

uv add pipelex-tools-py

Usage

import pipelex_tools

formatted = pipelex_tools.format_mthds("a=1")
print(formatted["formatted"])
# a = 1

linted = pipelex_tools.lint_mthds("""
domain = "example"

[concept]

[pipe]
""")
print(linted["diagnostics"])

API

format_mthds(content: str, *, options: dict | None = None) -> dict

Returns:

{
    "formatted": str,
    "changed": bool,
    "diagnostics": list[dict],
}

lint_mthds(content: str, *, source: str | None = None) -> dict

Returns:

{
    "diagnostics": list[dict],
}

Diagnostics use this shape:

{
    "kind": "syntax" | "semantic" | "schema",
    "severity": "error",
    "message": str,
    "location": str | None,
    "range": {
        "start_offset": int,
        "end_offset": int,
        "start_line": int,
        "start_col": int,
        "end_line": int,
        "end_col": int,
    } | None,
}

Malformed MTHDS content is returned as diagnostics, not raised as an exception. Malformed formatter option values may raise ValueError.

CLI package

This is the Python library package. To install the plxt command-line tool, use the separate pipelex-tools package:

uv tool install pipelex-tools

Links

TOML support built on Taplo.

"Pipelex" is a trademark of Evotis S.A.S.

Project links

Data verified by PyPI on Jul 13, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.2.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for pipelex from gravatar.com pipelex

Credits

Author: tamasfe

Maintainer: Pipelex staff

GitHub Statistics

Data verified by PyPI on Jul 13, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python <3.15, >=3.8

Tags

toml mthds pipelex linter formatter

Classifiers

Report project as malware

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