BEAM plugin

中文说明

This plugin owns the BEAM memory, agentic-answer and judge Steps, their prompts, and their Job defaults in plugin.yaml. ReMe's built-in benchmark.yaml owns the shared evaluation Jobs and components. Dataset handling, the runner and results remain in benchmark/beam.

From the repository root, install ReMe and this plugin in editable mode before running the benchmark:

python -m pip install -e ".[as]"
reme plugins install ./plugins/beam --editable
reme plugins validate beam
python benchmark/beam/run.py

Editable installation registers the beam entry point while keeping source changes immediately visible. The runner selects the built-in benchmark preset and explicitly enables beam for each Application. Installing the plugin makes it discoverable but does not enable it globally.

plugin.yaml registers backends and contributes the plugin-owned auto_memory, agentic_answer and answer_judge Job defaults. Start the installed plugin with reme start config=benchmark plugins='["beam"]'. The shared preset does not inherit default: only declared Jobs run, indexing is manual, and neither scheduled dream nor the optional auto_dream Job is enabled. The existing auto_memory, agentic_answer, answer_judge, bench and judge names and model environment variables are unchanged. Explicit application/CLI overrides still take precedence. Installing this plugin does not start an evaluation.

The shared answer base class lives in reme.steps.benchmark.base_agentic_answer. The old core-owned reme.steps.benchmark.beam Python import path is removed. Custom Python callers should import memory, search and answer Steps from reme_beam, and the judge Step from judge_beam. After uninstalling, Applications and CLI services must omit the plugin until it is installed again. Uninstallation never removes datasets, workspaces or results. Restart an existing service after changing plugins.