Plugin Development

A ReMe plugin is a regular Python distribution exposed through the reme.plugins entry-point group. Its package-level plugin.yaml can register Step and Component backends and provide default Application configuration.

Minimal structure

my-plugin/
├── pyproject.toml
└── src/my_plugin/
    ├── __init__.py
    ├── plugin.yaml
    └── steps.py

pyproject.toml:

[project.entry-points."reme.plugins"]
my-plugin = "my_plugin"

plugin.yaml:

name: my-plugin
backends:
  my_step: my_plugin.steps:MyStep
application_defaults:
  jobs:
    my_action:
      backend: base
      description: Run my plugin action
      parameters:
        type: object
        properties:
          text: { type: string }
        required: [text]
      steps:
        - backend: my_step

Implement a Step

from reme.components.component_registry import R
from reme.steps.base_step import BaseStep


@R.register("my_step")
class MyStep(BaseStep):
    async def execute(self):
        self.context.response.answer = self.context.data["text"]

Step instances belong to one Job invocation. Put shared in-memory state under a narrow app_context.metadata key. Promote state that needs lifecycle, locking, or persistence to a Component or workspace file.

Configuration merge

application_defaults is a partial ApplicationConfig:

plugin defaults < selected/default config < CLI overrides

Plugins must not rewrite user configuration. Their backends enter an Application-local registry only when the plugin appears in that Application's plugins list.

Local validation

reme plugins validate ./path/to/my-plugin
reme plugins install ./path/to/my-plugin --editable
reme plugins list
reme plugins show my-plugin
reme start plugins='["my-plugin"]'
reme my_action text=hello

Validation imports plugin code, so run it only for trusted sources.

Test boundaries

• create workspaces with tmp_path;
• mock network, model, and subprocess boundaries;
• verify disabled plugins do not mutate the built-in registry;
• verify plugin defaults and explicit configuration precedence;
• keep tasks, clients, and executors under Component lifecycle;
• never delete or rewrite user source files to repair derived state.

The repository's Daily Paper, Auto Fin, LME, and BEAM plugins are complete examples.

Compatibility

Legacy Python Plugin descriptors and the reme.configs entry point remain supported during migration, but new plugins should use plugin.yaml. Enablement always belongs to an Application rather than a process-global switch.

See Plugin Management for installation, upgrades, and removal.