Changelog

All notable changes to this project will be documented here. Format follows Keep a Changelog; versioning follows Semantic Versioning.

[0.2.0] - 2026-05-12

Inference no longer requires PyTorch. Runtime dependencies are now numpy + onnxruntime only.
Public API additions: MouseModel and ScrollModel classes wrapping a persistent ORT InferenceSession.
Function signatures generate() and generate_scroll() are now keyword-only past the positional start/end (or start_scroll_y/target_scroll_y).
New parameters: click=True (mouse), seed= (both), viewport_height= (scroll).
Removed config= parameter; use kwargs directly.
model_dir= renamed to model_path=; accepts str or pathlib.Path.
start_scrollY / target_scrollY renamed to start_scroll_y / target_scroll_y.
Training, web UI, collector, eval, and data adapter code moved to repo-level tools/; no longer packaged in the wheel.

ONNX-format pre-trained weights bundled inside the wheel via importlib.resources (~3 MB).
tools/export_onnx.py script with PyTorch/ORT parity check.
Errors namespace ai_mouse.errors with AiMouseError, ModelLoadError, GenerationError.
Custom ORT providers parameter for GPU / DirectML.
Per-process lru_cache so generate() / generate_scroll() reuse the default model across calls.

Legacy JointCVAE class.
ai_mouse.config.GenerateConfig top-level export (parameters moved to kwargs).
Source dependency on scipy.stats.truncnorm (replaced by numpy rejection sampling).