diff --git a/.github/actions/project-setup/action.yml b/.github/actions/project-setup/action.yml
index d0e90d11..42f2b371 100644
--- a/.github/actions/project-setup/action.yml
+++ b/.github/actions/project-setup/action.yml
@@ -10,6 +10,10 @@ inputs:
     description: "Additional Rust target to install"
     required: false
     default: ""
+  python_version:
+    description: "Python version to use"
+    required: false
+    default: "3.13"
 
 runs:
   using: "composite"
@@ -23,7 +27,7 @@ runs:
     # Python
     - uses: actions/setup-python@v5
       with:
-        python-version: "3.13"
+        python-version: ${{ inputs.python_version }}
 
     # ----- OS-Specific System Dependencies -----
 
diff --git a/.github/workflows/ci-python.yml b/.github/workflows/ci-python.yml
new file mode 100644
index 00000000..9ac5912e
--- /dev/null
+++ b/.github/workflows/ci-python.yml
@@ -0,0 +1,36 @@
+name: ci (python)
+
+on:
+  push:
+    branches: [main]
+    paths:
+      - encoderfile-py/**
+  pull_request:
+    paths:
+      - encoderfile-py/**
+  workflow_dispatch:
+
+jobs:
+  test_python:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Project setup
+        uses: ./.github/actions/project-setup
+        with:
+          # use MSRV
+          python_version: "3.10"
+
+      - name: Build runtime
+        run: cargo build -p encoderfile-runtime
+
+      - name: Maturin develop
+        run: just build-py
+
+      - name: Test
+        run: just test-py
+
+      - name: Stubtest
+        run: just stubtest
diff --git a/.gitignore b/.gitignore
index a13096a4..cb7668fb 100644
--- a/.gitignore
+++ b/.gitignore
@@ -203,9 +203,9 @@ cython_debug/
 .abstra/
 
 # Visual Studio Code
-#   Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore 
+#   Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore
 #   that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
-#   and can be added to the global gitignore or merged into this file. However, if you prefer, 
+#   and can be added to the global gitignore or merged into this file. However, if you prefer,
 #   you could uncomment the following to ignore the entire vscode folder
 # .vscode/
 
diff --git a/Justfile b/Justfile
index f95e1f20..9a76925c 100644
--- a/Justfile
+++ b/Justfile
@@ -23,11 +23,11 @@ check:
     @cargo hack check --each-feature
 
 coverage:
-	@cargo llvm-cov \
-		--workspace \
-		--all-features \
-		--lcov \
-		--output-path lcov.info
+    @cargo llvm-cov \
+    	--workspace \
+    	--all-features \
+    	--lcov \
+    	--output-path lcov.info
 
 pre-commit:
     @uv run --dev pre-commit run --all-files
@@ -56,6 +56,13 @@ lint-py:
     # ruff check
     @uv run ruff check
 
+test-py:
+    # test encoderfile-py bindings
+    @uv run \
+        --dev \
+        --directory encoderfile-py \
+        -m pytest
+
 stubtest:
     @uv run \
         --dev \
@@ -76,10 +83,11 @@ generate-docs:
         --all-features
 
 licenses:
-	@echo "Generating licenses..."
-	@cargo about generate about.hbs > THIRDPARTY.md
+    @echo "Generating licenses..."
+    @cargo about generate about.hbs > THIRDPARTY.md
 
 # Utilities
+
 target_max_mb := "2000"
 
 clean:
@@ -87,8 +95,8 @@ clean:
     if [ -d target ]; then
         target_size_mb=$(du -sm target | cut -f1)
         echo "target/ size: ${target_size_mb} MB"
-        if [ "${target_size_mb}" -gt "{{target_max_mb}}" ]; then
-            echo "target/ exceeds {{target_max_mb}} MB — running cargo clean..."
+        if [ "${target_size_mb}" -gt "{{ target_max_mb }}" ]; then
+            echo "target/ exceeds {{ target_max_mb }} MB — running cargo clean..."
             cargo clean
         else
             echo "target/ size within limits — skipping clean."
diff --git a/encoderfile-py/python/encoderfile/__main__.py b/encoderfile-py/python/encoderfile/__main__.py
index 8476e520..9420ca00 100644
--- a/encoderfile-py/python/encoderfile/__main__.py
+++ b/encoderfile-py/python/encoderfile/__main__.py
@@ -1,6 +1,7 @@
-from encoderfile import run_cli
 import sys
 
+from encoderfile import run_cli  # type: ignore
+
 if __name__ == "__main__":
     args = ["encoderfile"] + sys.argv[1:]
 
diff --git a/encoderfile-py/python/tests/assets/test_config.yml b/encoderfile-py/python/tests/assets/test_config.yml
index 0b4cd5e4..ea8ee067 100644
--- a/encoderfile-py/python/tests/assets/test_config.yml
+++ b/encoderfile-py/python/tests/assets/test_config.yml
@@ -1,13 +1,13 @@
 encoderfile:
   name: my-model-2
-  path: models/token_classification
+  path: ../models/token_classification
   model_type: token_classification
   output_path: /tmp/test-model.encoderfile
-  base_binary_path: ./target/debug/encoderfile-runtime
+  base_binary_path: ../target/debug/encoderfile-runtime
   transform: |
     --- Applies a softmax across token classification logits.
     --- Each token classification is normalized independently.
-    --- 
+    ---
     --- Args:
     ---   arr (Tensor): A tensor of shape [batch_size, n_tokens, n_labels].
     ---                 The softmax is applied along the third axis (n_labels).
diff --git a/encoderfile-py/python/tests/assets/test_config_lua.yml b/encoderfile-py/python/tests/assets/test_config_lua.yml
index 46de46e2..8417fdb9 100644
--- a/encoderfile-py/python/tests/assets/test_config_lua.yml
+++ b/encoderfile-py/python/tests/assets/test_config_lua.yml
@@ -1,16 +1,16 @@
 encoderfile:
   name: my-model-2-lua
-  path: models/token_classification
+  path: ../models/token_classification
   model_type: token_classification
   output_path: /tmp/test-model-lua.encoderfile
-  base_binary_path: ./target/debug/encoderfile-runtime
+  base_binary_path: ../target/debug/encoderfile-runtime
   lua_libs:
     - table
     - math
   transform: |
     --- Applies a softmax across token classification logits.
     --- Each token classification is normalized independently.
-    --- 
+    ---
     --- Args:
     ---   arr (Tensor): A tensor of shape [batch_size, n_tokens, n_labels].
     ---                 The softmax is applied along the third axis (n_labels).
diff --git a/encoderfile-py/python/tests/test_encoderfile.py b/encoderfile-py/python/tests/test_encoderfile.py
index ce02d178..629d4a26 100644
--- a/encoderfile-py/python/tests/test_encoderfile.py
+++ b/encoderfile-py/python/tests/test_encoderfile.py
@@ -1,16 +1,18 @@
+from pathlib import Path
+
 import pytest
+from conftest import asset_path, load_json, load_yaml_asset  # type: ignore
 from encoderfile import (
+    BatchLongest,
     EncoderfileBuilder,
-    ModelConfig,
     EncoderfileConfig,
     InspectInfo,
-    read_metadata,
+    ModelConfig,
     ModelType,
-    TokenizerBuildConfig,
     TargetSpec,
+    TokenizerBuildConfig,
+    read_metadata,
 )
-from pathlib import Path
-from conftest import asset_path, load_yaml_asset, load_json
 
 
 def test_encoderfilebuilder_from_configpath_returns_builder():
@@ -22,13 +24,13 @@ def test_encoderfilebuilder_from_configpath_returns_builder():
 def test_encoderfilebuilder_from_config_fails():
     config = {
         "name": "my-model-2",
-        "path": "models/token_classification",
+        "path": "../models/token_classification",
         "model_type": "whatever",
         "output_path": "./test-model.encoderfile",
         "transform": """
         --- Applies a softmax across token classification logits.
         --- Each token classification is normalized independently.
-        --- 
+        ---
         --- Args:
         ---   arr (Tensor): A tensor of shape [batch_size, n_tokens, n_labels].
         ---                 The softmax is applied along the third axis (n_labels).
@@ -41,6 +43,7 @@ def test_encoderfilebuilder_from_config_fails():
             return arr:softmax(3)
         end
         """,
+        "lua_libs": None,
     }
     with pytest.raises(RuntimeError) as exc_info:
         EncoderfileBuilder(**config)
@@ -50,13 +53,13 @@ def test_encoderfilebuilder_from_config_fails():
 def test_encoderfilebuilder_from_config_returns_builder():
     config = {
         "name": "my-model-2",
-        "path": "models/token_classification",
+        "path": "../models/token_classification",
         "model_type": ModelType.TokenClassification,
         "output_path": "./test-model.encoderfile",
         "transform": """
         --- Applies a softmax across token classification logits.
         --- Each token classification is normalized independently.
-        --- 
+        ---
         --- Args:
         ---   arr (Tensor): A tensor of shape [batch_size, n_tokens, n_labels].
         ---                 The softmax is applied along the third axis (n_labels).
@@ -80,7 +83,7 @@ def test_encoderfilebuilder_build_runs(config_filename):
     config_info = load_yaml_asset(config_filename)
     builder = EncoderfileBuilder.from_config(config_path)
     # Should not raise
-    builder.build(workdir=None, version=None, no_download=True)
+    builder.build(workdir=None, runtime_version=None, no_download=True)
     result = read_metadata(config_info["encoderfile"]["output_path"])
     assert isinstance(result, InspectInfo)
     assert isinstance(result.model_config, ModelConfig)
@@ -89,7 +92,7 @@ def test_encoderfilebuilder_build_runs(config_filename):
     print(result.encoderfile_config)
     assert result.encoderfile_config.name == config_info["encoderfile"]["name"]
     assert (
-        result.encoderfile_config.transform.strip()
+        str(result.encoderfile_config.transform).strip()
         == config_info["encoderfile"].get("transform").strip()
     )
     assert result.encoderfile_config.lua_libs == config_info["encoderfile"].get(
@@ -101,13 +104,13 @@ def test_encoderfilebuilder_build_from_dict(tmp_path):
     name = "model-built-from-config"
     config = {
         "name": name,
-        "path": "models/token_classification",
+        "path": "../models/token_classification",
         "model_type": ModelType.TokenClassification,
         "output_path": str(tmp_path / f"{name}.encoderfile"),
         "tokenizer": TokenizerBuildConfig(
-            pad_strategy="batch_longest",
+            pad_strategy=BatchLongest(),
         ),
-        "base_binary_path": "./target/debug/encoderfile-runtime",
+        "base_binary_path": "../target/debug/encoderfile-runtime",
         "transform": """
         --- No docs
         ---
@@ -128,14 +131,15 @@ def test_encoderfilebuilder_build_from_dict(tmp_path):
     print(model_info)
     builder = EncoderfileBuilder(**config)
     # Should not raise
-    builder.build(workdir=None, version=None, no_download=True)
+    builder.build(workdir=None, runtime_version=None, no_download=True)
     result = read_metadata(config["output_path"])
     assert isinstance(result, InspectInfo)
     assert isinstance(result.model_config, ModelConfig)
     assert isinstance(result.encoderfile_config, EncoderfileConfig)
     assert result.encoderfile_config.name == config["name"]
     assert (
-        result.encoderfile_config.transform.strip() == config.get("transform").strip()
+        str(result.encoderfile_config.transform).strip()
+        == str(config.get("transform")).strip()
     )
     assert result.encoderfile_config.lua_libs == config.get("lua_libs")
     assert result.model_config.num_labels == model_info.get(
@@ -152,11 +156,11 @@ def test_encoderfilebuilder_build_all_from_dict(tmp_path):
     config = {
         "name": name,
         "version": "0.2.0",
-        "path": "models/token_classification",
+        "path": "../models/token_classification",
         "model_type": ModelType.TokenClassification,
         "output_path": str(tmp_path / f"{name}.encoderfile"),
         "cache_dir": "./cache",
-        "base_binary_path": "./target/debug/encoderfile-runtime",
+        "base_binary_path": "../target/debug/encoderfile-runtime",
         "transform": """
         --- No docs
         ---
@@ -174,7 +178,7 @@ def test_encoderfilebuilder_build_all_from_dict(tmp_path):
         """,
         "lua_libs": ["table", "math"],
         "tokenizer": TokenizerBuildConfig(
-            pad_strategy="batch_longest",
+            pad_strategy=BatchLongest(),
             truncation_side="right",
             truncation_strategy="longest_first",
             max_length=512,
@@ -184,7 +188,7 @@ def test_encoderfilebuilder_build_all_from_dict(tmp_path):
         "target": "x86_64-unknown-linux-musl",
     }
     builder = EncoderfileBuilder(**config)
-    builder.build(workdir=None, version=None, no_download=True)
+    builder.build(workdir=None, runtime_version=None, no_download=True)
     result = read_metadata(config["output_path"])
     assert isinstance(result, InspectInfo)
     assert isinstance(result.model_config, ModelConfig)
@@ -193,7 +197,8 @@ def test_encoderfilebuilder_build_all_from_dict(tmp_path):
     assert result.encoderfile_config.version == config["version"]
     assert result.encoderfile_config.model_type == config["model_type"].value
     assert (
-        result.encoderfile_config.transform.strip() == config.get("transform").strip()
+        str(result.encoderfile_config.transform).strip()
+        == str(config.get("transform")).strip()
     )
     assert result.encoderfile_config.lua_libs == config.get("lua_libs")
 
@@ -203,11 +208,11 @@ def test_encoderfilebuilder_with_target_spec_object(tmp_path):
     target_spec = TargetSpec("x86_64-unknown-linux-musl")
     config = {
         "name": name,
-        "path": "models/token_classification",
+        "path": "../models/token_classification",
         "model_type": ModelType.TokenClassification,
         "output_path": str(tmp_path / f"{name}.encoderfile"),
         "tokenizer": TokenizerBuildConfig(
-            pad_strategy="batch_longest",
+            pad_strategy=BatchLongest(),
         ),
         "transform": """
         --- No docs
@@ -233,11 +238,11 @@ def test_encoderfilebuilder_wrong_arch(tmp_path):
     name = "model-built-from-config"
     config = {
         "name": name,
-        "path": "models/token_classification",
+        "path": "../models/token_classification",
         "model_type": ModelType.TokenClassification,
         "output_path": str(tmp_path / f"{name}.encoderfile"),
         "tokenizer": TokenizerBuildConfig(
-            pad_strategy="batch_longest",
+            pad_strategy=BatchLongest(),
         ),
         "transform": """
         --- No docs
@@ -266,7 +271,7 @@ def test_encoderfilebuilder_wrong_arch(tmp_path):
 
 def test_tokenizer_build_config_from_dict():
     config = {
-        "pad_strategy": "batch_longest",
+        "pad_strategy": BatchLongest(),
         "truncation_side": "right",
         "truncation_strategy": "longest_first",
         "max_length": 512,
@@ -288,14 +293,16 @@ def test_tokenizer_wrong_config_pad_strategy():
         "max_length": 512,
         "stride": 0,
     }
-    with pytest.raises(RuntimeError) as exc_info:
+    with pytest.raises(TypeError) as exc_info:
         TokenizerBuildConfig(**config)
-    assert f"Invalid pad strategy: {config['pad_strategy']}" in str(exc_info.value)
+
+    # error should return type received
+    assert "Received: 'str'" in str(exc_info.value)
 
 
 def test_tokenizer_wrong_config_truncation_side():
     config = {
-        "pad_strategy": "batch_longest",
+        "pad_strategy": BatchLongest(),
         "truncation_side": "nonsense!",
         "truncation_strategy": "longest_first",
         "max_length": 512,
@@ -310,7 +317,7 @@ def test_tokenizer_wrong_config_truncation_side():
 
 def test_tokenizer_wrong_config_truncation_strategy():
     config = {
-        "pad_strategy": "batch_longest",
+        "pad_strategy": BatchLongest(),
         "truncation_side": "right",
         "truncation_strategy": "nonsense!",
         "max_length": 512,
@@ -325,7 +332,7 @@ def test_tokenizer_wrong_config_truncation_strategy():
 
 def test_tokenizer_wrong_config_max_length():
     config = {
-        "pad_strategy": "batch_longest",
+        "pad_strategy": BatchLongest(),
         "truncation_side": "right",
         "truncation_strategy": "longest_first",
         "max_length": -1,
@@ -337,7 +344,7 @@ def test_tokenizer_wrong_config_max_length():
 
 def test_tokenizer_wrong_type_max_length():
     config = {
-        "pad_strategy": "batch_longest",
+        "pad_strategy": BatchLongest(),
         "truncation_side": "right",
         "truncation_strategy": "longest_first",
         "max_length": "nonsense!",
@@ -350,7 +357,7 @@ def test_tokenizer_wrong_type_max_length():
 
 def test_tokenizer_wrong_config_stride():
     config = {
-        "pad_strategy": "batch_longest",
+        "pad_strategy": BatchLongest(),
         "truncation_side": "right",
         "truncation_strategy": "longest_first",
         "max_length": 512,
@@ -401,7 +408,7 @@ def test_tokenizer_config_all_optional_fields():
 
 def test_tokenizer_config_partial_optional_fields():
     config = {
-        "pad_strategy": "batch_longest",
+        "pad_strategy": BatchLongest(),
         "max_length": 512,
     }
     tokenizer_config = TokenizerBuildConfig(**config)
diff --git a/encoderfile-py/src/builder.rs b/encoderfile-py/src/builder.rs
index 9cad2e6a..327935e6 100644
--- a/encoderfile-py/src/builder.rs
+++ b/encoderfile-py/src/builder.rs
@@ -21,8 +21,8 @@ use pyo3::{
     prelude::*,
 };
 
-#[pyclass(name = "BatchLongest")]
-#[derive(Debug, Clone)]
+#[pyclass(name = "BatchLongest", eq)]
+#[derive(Debug, Clone, PartialEq, Eq)]
 pub struct PyBatchLongest;
 
 #[pymethods]
@@ -45,8 +45,8 @@ impl From<PyBatchLongest> for TokenizerPadStrategy {
     }
 }
 
-#[pyclass(name = "Fixed")]
-#[derive(Debug, Clone)]
+#[pyclass(name = "Fixed", eq)]
+#[derive(Debug, Clone, PartialEq, Eq)]
 pub struct PyFixed {
     #[pyo3(get, set)]
     n: usize,
@@ -88,9 +88,11 @@ impl PyTokenizerBuildConfig {
                 } else if let Ok(fixed) = ps.cast::<PyFixed>() {
                     Some(fixed.extract::<PyFixed>().unwrap().into())
                 } else {
-                    return Err(PyTypeError::new_err(
-                        "Class must be BatchLongest, Fixed, or None",
-                    ));
+                    let err_msg = format!(
+                        "Class must be BatchLongest, Fixed, or None. Received: {:?}",
+                        ps.get_type().getattr("__name__")?
+                    );
+                    return Err(PyTypeError::new_err(err_msg));
                 }
             }
             None => None,
diff --git a/pyproject.toml b/pyproject.toml
index 33403f41..740c026d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,7 +7,14 @@ requires-python = ">=3.13"
 dependencies = [ "pip>=25.2", "protobuf>=6.33.0"]
 
 [dependency-groups]
-dev = [ "pre-commit>=4.3.0", "ruff>=0.14.2", "mypy>=1.19", "pytest"]
+dev = [
+ "pre-commit>=4.3.0",
+ "ruff>=0.14.2",
+ "mypy>=1.19",
+ "pytest",
+ "maturin>=1.13.1",
+]
+docs = [ "mkdocs>=1.6.1", "mkdocs-include-markdown-plugin>=7.2.0", "mkdocs-material>=9.7.0",]
 setup = [ "onnxruntime>=1.23.1", "optimum[onnxruntime]>=2.0.0", "transformers>=4.55.0",]
 models = [ "torch>=2.9.0", "click", {include-group = "setup"} ]
 
diff --git a/uv.lock b/uv.lock
index 18abd478..c0543848 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,8 +2,10 @@ version = 1
 revision = 3
 requires-python = ">=3.13"
 resolution-markers = [
-    "platform_machine != 's390x'",
-    "platform_machine == 's390x'",
+    "python_full_version >= '3.15' and platform_machine != 's390x'",
+    "python_full_version >= '3.15' and platform_machine == 's390x'",
+    "python_full_version < '3.15' and platform_machine != 's390x'",
+    "python_full_version < '3.15' and platform_machine == 's390x'",
 ]
 
 [manifest]
@@ -12,13 +14,44 @@ members = [
     "encoderfile-workspace",
 ]
 
+[[package]]
+name = "babel"
+version = "2.18.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7d/b2/51899539b6ceeeb420d40ed3cd4b7a40519404f9baf3d4ac99dc413a834b/babel-2.18.0.tar.gz", hash = "sha256:b80b99a14bd085fcacfa15c9165f651fbb3406e66cc603abf11c5750937c992d", size = 9959554, upload-time = "2026-02-01T12:30:56.078Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/77/f5/21d2de20e8b8b0408f0681956ca2c69f1320a3848ac50e6e7f39c6159675/babel-2.18.0-py3-none-any.whl", hash = "sha256:e2b422b277c2b9a9630c1d7903c2a00d0830c409c59ac8cae9081c92f1aeba35", size = 10196845, upload-time = "2026-02-01T12:30:53.445Z" },
+]
+
+[[package]]
+name = "backrefs"
+version = "7.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/5e/a7/a7dd63622beef68cc0d3c3c36d472e143dd95443d5ebf14cd1a5b4dfbf11/backrefs-7.0.tar.gz", hash = "sha256:4989bb9e1e99eb23647c7160ed51fb21d0b41b5d200f2d3017da41e023097e82", size = 7012453, upload-time = "2026-04-28T16:28:04.215Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d4/39/39a31d7eae729ea14ed10c3ccef79371197177b9355a86cb3525709e8502/backrefs-7.0-py310-none-any.whl", hash = "sha256:b57cd227ea556b0aed3dc9b8da4628db4eabc0402c6d7fcfc69283a93955f7e9", size = 380824, upload-time = "2026-04-28T16:27:55.647Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/b5/9302644225ba7dfa934a2ff2b9c7bb85701313a90dddb3dfaf693fa5bae2/backrefs-7.0-py311-none-any.whl", hash = "sha256:a0fa7360c63509e9e077e174ef4e6d3c21c8db94189b9d957289ae6d794b9475", size = 392626, upload-time = "2026-04-28T16:27:57.42Z" },
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