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A CLI tool for AI governance through verifiable promises.

Project description

praevisio

A CLI tool for AI governance through verifiable promises.

This repository follows Readme-Driven Development and an outside-in approach. The white paper is the source of truth for behavior and outcomes we intend to deliver; we implement from the boundary inward until the tool matches the spec.

  • White paper: docs/white-paper.md (rendered by Sphinx)
  • Built docs entry point: docs/index.md

Install (PyPI)

pip install praevisio

Create a config:

praevisio install --config .praevisio.yaml

Run an evaluation:

praevisio evaluate-commit . --config .praevisio.yaml --json

Run the CI gate:

praevisio ci-gate --config .praevisio.yaml --severity high --fail-on-violation

CI quickstart

Example GitHub Actions workflow:

name: Praevisio Governance Gate

on:
  pull_request:
    branches: [main]

jobs:
  governance-gate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - uses: actions/setup-node@v4
        with:
          node-version: "20"
      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
          pip install praevisio
          npm install -g promptfoo
      - name: Generate config if missing
        run: |
          praevisio install --config .praevisio.yaml
      - name: Run governance gate
        run: |
          praevisio ci-gate \
            --severity high \
            --fail-on-violation \
            --output logs/ci-gate-report.json \
            --config .praevisio.yaml
      - name: Upload artifacts
        uses: actions/upload-artifact@v4
        if: always()
        with:
          name: praevisio-run
          path: |
            logs/ci-gate-report.json
            .praevisio/runs/**

.praevisio.yaml template

evaluation:
  promise_id: llm-input-logging
  threshold: 0.95
  severity: high
  thresholds:
    high: 0.95
    medium: 0.90
  pytest_targets:
    - tests/test_logging.py
  semgrep_rules_path: governance/evidence/semgrep_rules.yaml
  semgrep_callsite_rule_id: llm-call-site
  semgrep_violation_rule_id: llm-call-must-log
  run_dir: .praevisio/runs
hooks: []

Quickstart (uv)

  1. Install uv (see https://docs.astral.sh/uv/)

  2. Create a virtual environment and install dependencies

  • uv venv
  • uv sync --all-groups # installs docs dependencies too
  1. Build the docs
  • uv run sphinx-build -b html docs docs/_build/html
  • Open docs/_build/html/index.html in your browser

Alternative (pip/venv)

  1. Create and activate a virtual environment
  • macOS/Linux
    • python3 -m venv .venv
    • source .venv/bin/activate
  • Windows (PowerShell)
    • py -3 -m venv .venv
    • .venv\Scripts\Activate.ps1
  1. Install dependencies
  • pip install -e .
  1. Build the docs
  • make -C docs html
  • Open docs/_build/html/index.html in your browser

Build and publish (uv)

  • Build artifacts (sdist/wheel):
    • uv build
  • Publish to PyPI (requires a token):
    • uv publish --token $PYPI_API_TOKEN

Architecture overview

Layers

  • Domain (src/praevisio/domain): Core concepts and rules
    • Entities: EvaluationResult, StaticAnalysisResult, CommitContext
    • Value Objects: HookType, ExitCode, FilePattern
    • Ports: StaticAnalyzer, TestRunner, ConfigLoader, PromiseLoader
  • Application (src/praevisio/application): Use cases/orchestration
    • EvaluationService: evidence collection + ABDUCTIO evaluation
    • PraevisioEngine: orchestration and gating
    • InstallationService: write a default .praevisio.yaml
    • services.py: compatibility re-exports for older imports
  • Infrastructure (src/praevisio/infrastructure): Adapters to ports
    • SemgrepStaticAnalyzer, SubprocessPytestRunner, YamlConfigLoader, YamlPromiseLoader
    • EvidenceStore for audit artifacts
  • Presentation (src/praevisio/presentation): CLI
    • Typer-based CLI (praevisio). Commands map to application services

Configuration as a domain concept

  • Canonical file: .praevisio.yaml

  • Example:

    evaluation: promise_id: llm-input-logging threshold: 0.95 pytest_targets: - tests/test_logging.py semgrep_rules_path: governance/evidence/semgrep_rules.yaml semgrep_callsite_rule_id: llm-call-site semgrep_violation_rule_id: llm-call-must-log hooks: []

Error handling

  • Configuration errors are surfaced by the CLI with non-zero exit codes.
  • Evaluation errors surface in the JSON output under details.promise_error or tool-specific error fields.

Dependency injection

  • Application services accept ports via constructor injection for easy testing and swapping infrastructure adapters.

BDD with Behave

  • Install dev dependencies (includes behave):
    • uv sync --group dev # or uv sync --all-groups
  • Run the feature tests:
    • uv run behave -f progress

Example feature implemented

  • Run pre-commit hooks: Skip hooks when no files match pattern
    • Given a repository with staged Python files (only .py)
    • And a hook configured for "*.js"
    • When I run pre-commit hooks
    • Then the hook should be skipped

Architecture notes:

  • The project uses a layered architecture:
    • domain: core business objects and abstractions (no infra/presentation deps)
    • application: orchestrates use cases via domain and ports
    • infrastructure: adapter implementations (e.g., repositories)
    • presentation: CLI/HTTP adapters (to be added)
  • Application services return domain objects or simple data structures, keeping them reusable across interfaces.

CLI entry point

  • praevisio (Typer-based):
    • praevisio install --config .praevisio.yaml
    • praevisio evaluate-commit . --config .praevisio.yaml --json
    • praevisio ci-gate --config .praevisio.yaml --severity high --fail-on-violation
    • praevisio replay-audit --latest
    • python -m praevisio

Development approach

  • Readme-Driven Development: We capture intent and interfaces up front in this README and the white paper. We will keep both current as we iterate.
  • Outside-in: We will define user-visible CLI behavior first, then drive implementation via tests and thin slices until the internals satisfy the external contracts.
  • Documentation-first: Sphinx is set up from day one; every significant change should be reflected in the docs.

Documentation system

  • Sphinx with MyST Markdown allows us to keep the white paper in Markdown while using Sphinx features.
  • Theme: sphinx_rtd_theme
  • Extensions enabled for future self-documentation work:
    • autodoc and napoleon (for API docs from docstrings)
    • viewcode (source links)
    • todo (TODO directives can be toggled in output)
    • autosectionlabel (stable xrefs)
    • intersphinx (cross-project linking)

Structure:

  • docs/index.md: Site landing page and ToC
  • docs/white-paper.md: Includes the white_paper.md via Sphinx include
  • white_paper.md: Your authored white paper at the repo root

Build commands:

  • make -C docs html
  • Or directly: sphinx-build -b html docs docs/_build/html

Next steps (planned)

  • Multi-promise evaluation and per-promise gating
  • Collector plugins beyond pytest/semgrep
  • Calibrated evidence weighting and tuning guides

Contributing

  • Keep changes small and focused on an outcome.
  • Update docs alongside code changes. If an interface changes, update examples in the README and white paper sections that reference it.
  • Prefer tests that exercise the CLI surface area.

License

  • TBD by the repository owner. No license is included yet.

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