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README.md

CatOpt Studio MVP

A lightweight, open-source framework sketching category-theory-inspired compositional optimization across edge meshes.

Status: MVP scaffold. Core primitives implemented; packaging scaffolding added. Tests to validate the DSL surface exist.

What this repository provides now:

  • Minimal DSL primitives: LocalProblem, SharedVariables, PlanDelta, PrivacyBudget, AuditLog (in catopt_studio/core.py)
  • Public API exposing the DSL surface (catopt_studio/init.py)
  • Packaging metadata (pyproject.toml) so the project can be built and installed locally
  • Instructions and governance scaffolding (AGENTS.md) for future expansion

How to run tests locally (once dependencies are installed):

  • Install dependencies and build the package
    • python3 -m pip install --upgrade build
    • python3 -m build
  • Run tests
    • pytest

Roadmap (high level):

  • Expand the DSL with more primitives and type safety
  • Add a tiny solver placeholder and an adapter interface
  • Introduce a basic conformance test suite and registry stubs
  • Add a minimal README for onboarding users and developers