nthlayer 1.0.0

NthLayer ecosystem meta-package — installs all tiers (core, workers, bench, generate).

nthlayer

NthLayer is an ecosystem of components for AI-augmented operations governance. This package is a meta-package that installs all four tiers:

• nthlayer-core (Tier 1) — reliability-critical state, verdicts, assessments, manifests, change-freezes (HTTP API server)
• nthlayer-workers (Tier 2) — observe / measure / correlate / respond / learn worker modules
• nthlayer-bench (Tier 3) — operator interface (Textual TUI)
• nthlayer-generate — manifest compiler and CI/CD generator (specs → Grafana dashboards, Prometheus alerts, SLOs, recording rules, Backstage entities)

Installation

pip install nthlayer==1.0.0

This installs all four sub-packages pinned to their matching 1.0.0 releases.

When to install the meta-package vs. individual components

For most production deployments, install the specific tier(s) you need rather than the meta-package:

pip install nthlayer-core      # Tier 1 only
pip install nthlayer-workers   # Tier 2 only
pip install nthlayer-bench     # Tier 3 only
pip install nthlayer-generate  # Compiler only

The meta-package is a friendly entry point for evaluators, demos, and local development where you want the full ecosystem available with a single command.

CLI binaries

Sub-packages provide their own console scripts:

• nthlayer serve — start the Tier 1 HTTP API server (from nthlayer-core)
• nthlayer-workers serve — start the worker runtime (from nthlayer-workers)
• nthlayer-bench — launch the operator TUI (from nthlayer-bench)
• nthlayer-generate plan|apply|validate ... — compile manifests (from nthlayer-generate)

The meta-package itself contributes no Python modules and no console scripts.

Documentation

See https://github.com/rsionnach/nthlayer for the project front door, architecture overview, and links to each component repo.

Licence

MIT.