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Add registry mappings and CI profiles for AI/ML catalog #76

Description

@ulises-jeremias

Problem

Adding AI/ML templates and extensions will break CPA CI unless the registry validation
scripts and curated profiles know the new template types and compatibility rules.

CPA's CI is layered: L0 validates registry/profiles, L1 scaffolds templates alone, L2
tests one extension on its canonical template, and L3 tests curated profiles. New
AI/ML types must fit that flow.

Solution

Create a registry and CI support issue for the AI/ML catalog.

Deliverables:

  • Add new categories to templates.json only after taxonomy is accepted.
  • Add new template type mappings in:
    • scripts/ci/registry.py::CANONICAL_TEMPLATE_BY_TYPE
    • scripts/ci/validate-registry.py::STACK_PREFIX_BY_TYPE
  • Add CI profiles under ci/profiles/ for realistic stacks, for example:
    • fastapi-ai-chat-default
    • mlops-sklearn-default
    • mlops-sklearn-github-actions
  • Keep L3 profiles small and representative; do not test every compatible extension
    combination.
  • Ensure new categories do not cause duplicate-category conflicts in curated profiles.
  • Add or update tests for registry validation if current scripts support it.

Constraints:

  • No generated project should require network/API credentials to pass CI.
  • Heavy GPU/distributed paths must be out of default CI unless explicitly mocked or
    reduced to CPU fallback.
  • Every new template/extension issue must specify its expected CI profile.

Acceptance criteria:

  • L0/L1/L2/L3 can validate the first AI/ML vertical slice.
  • Future AI/ML issues know exactly which registry/CI files must change.

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