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 + plotly + 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.
1 maintainer
Metadata
1 maintainer
Release files for auto-mdp-solver 0.11.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| auto_mdp_solver-0.11.12.tar.gz | 179.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| auto_mdp_solver-0.11.12-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 374.0 kB
Release files / auto_mdp_solver-0.11.12.tar.gz
| Download URL | auto_mdp_solver-0.11.12.tar.gz |
|---|---|
| Size | 179.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
94049e550e631993bf04d75def990fb7dc44883309dd499e019c0402446bb888
|
|
BLAKE2b-256 checksum How to use checksums |
e3d8c78214b3c4f822530955348637d90fa43c3872e5e5fc13edc783eeb30417
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
Release files / auto_mdp_solver-0.11.12-py3-none-any.whl
| Download URL | auto_mdp_solver-0.11.12-py3-none-any.whl |
|---|---|
| Size | 194.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fe5d3cbd4bcde1aaba46a1aa2158100b4b76febb43d5bee4d5ffb7128fb2b4ca
|
|
BLAKE2b-256 checksum How to use checksums |
146ab20cd8a765cde5485ed23cb5ffff80c050478c0c88f5e85ac738db0a3300
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.13
|
