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auto-mdp-solver — the harness

The Python toolchain behind the auto-mdp-solver Claude Code plugin: a pipeline that turns a verbal dynamic-decision problem into a trained, deployable RL policy. This package is the executable half — the IR schema and interpreter, the gates, and the tuning driver. The plugin (skills, spec, examples) ships separately and installs this package into the workspace venv on first run.

package what it is entry point
mdp_ir MDP-IR schema (pydantic), reference interpreter, catalog ⊕ selection layering, execution laws, bit-exact differential runner python -m mdp_ir <schema>, python -m mdp_ir.laws <dir>, python -m mdp_ir.differential <schema>
mdp_conformance spec-conformance checks on a generated domain python -m mdp_conformance <dir>
mdp_gates eval-gate comparison of a candidate against baselines under the shared seed protocol python -m mdp_gates
mdp_tuning Optuna tuning driver over a domain's training script python -m mdp_tuning <dir> ...
mdp_stage the pipeline's entry gates — where a domain folder stands, and whether an op may start python -m mdp_stage <dir> [--for <op>]

Install

pip install "auto-mdp-solver[domain]"   # everything a generated domain needs (SB3 + torch + pandas + pytest)
pip install auto-mdp-solver             # harness only, torch-free: IR, conformance, gates, tuning
pip install "auto-mdp-solver[dev]"      # harness + pytest
# the same, straight from the repo at a release tag (no PyPI needed):
pip install "auto-mdp-solver[domain] @ git+https://github.com/tong-wang/auto-mdp-solver@v0.10.17#subdirectory=harness"

Requires Python ≥ 3.12. The version number tracks the plugin release it was cut from (v0.10.17 ↔ plugin 0.10.17), so the skills and the harness a workspace holds are comparable by one number.

Documentation, the per-domain spec, the frozen example domains and the test cases live in the repository. MIT license.

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