idea10-catopt-studio-a/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

New additions:

• ServiceGenome manifest: a lightweight runtime manifest for adapters/solvers (runtime_role, capability_vector, resource_envelope, safety_invariants, compliance_hook). This is exposed as catopt_studio.ServiceGenome and the in-memory registry can store and retrieve genomes for contract entries.