Pretorin Compliance

Compliance tools for developers. Integrate with AI agents or your CI pipeline.

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Beta — Pretorin is currently in closed beta. Framework/control browsing works for everyone. Platform write features (evidence, narratives, monitoring) require a beta code. Sign up for early access.

Pretorin CLI gives developers and AI agents direct access to compliance data, implementation context, and evidence workflows.

Two Usage Modes

1. Pretorin-hosted model mode: run pretorin agent run and route model calls through Pretorin /v1 endpoints.
2. Bring-your-own-agent mode: run pretorin mcp-serve and connect the MCP server to your existing AI tool (Claude Code, Codex CLI, Cursor, etc.).

Quick Start

uv tool install pretorin
pretorin login

Run the walkthrough:

bash scripts/demo-walkthrough.sh

Hosted Model Workflow (Recommended)

Use this flow when you want pretorin agent run to go through Pretorin-hosted model endpoints.

1. Authenticate with your Pretorin API key:

pretorin login

2. Optional: point model traffic to a custom/self-hosted Pretorin endpoint:

pretorin config set model_api_base_url https://platform.pretorin.com/v1

3. Verify runtime setup:

pretorin agent doctor
pretorin agent install

4. Run an agent task:

pretorin agent run "Assess AC-2 implementation gaps for my system"

Key behavior:

• Preferred setup is pretorin login with no shell-level OPENAI_API_KEY override.
• Model key precedence is: OPENAI_API_KEY -> config.api_key -> config.openai_api_key.
• If OPENAI_API_KEY is set in your shell, it overrides stored login credentials.

Add to Your AI Tool

Use this flow when you already have an AI agent/tool and want Pretorin as an MCP capability provider.

1. Claude Code

claude mcp add --transport stdio pretorin -- pretorin mcp-serve

Team setup via .mcp.json:

{
  "mcpServers": {
    "pretorin": {
      "type": "stdio",
      "command": "pretorin",
      "args": ["mcp-serve"]
    }
  }
}

2. Codex CLI

Add to ~/.codex/config.toml:

[mcp_servers.pretorin]
command = "pretorin"
args = ["mcp-serve"]

For Claude Desktop, Cursor, and Windsurf setup, see docs/MCP.md.

Core Commands

Platform-backed review and update workflows are single-scope: set one active system + framework first with pretorin context set, then run evidence, note, monitoring, narrative, or MCP-assisted compliance commands inside that scope. Multi-framework work must be split into separate runs.

Command	Purpose
pretorin frameworks list	List available frameworks
pretorin frameworks control <framework> <control>	Get control details and guidance
pretorin context set	Set active system/framework context
pretorin evidence create	Create local evidence file
pretorin evidence push	Push local evidence to Pretorin
pretorin evidence search	Search platform evidence
pretorin evidence upsert <ctrl> <fw>	Find-or-create evidence and link it
pretorin narrative get <ctrl> <fw>	Get current control narrative
pretorin narrative push <ctrl> <fw> <sys> <file>	Push a narrative file
pretorin notes list <ctrl> <fw>	List control notes
pretorin notes add <ctrl> <fw> --content ...	Add control note
pretorin monitoring push	Push a monitoring event
pretorin agent run "<task>"	Run Codex-powered compliance task
pretorin review run --control-id <id> --path <dir>	Review local code for control coverage
pretorin mcp-serve	Start MCP server

Artifact Authoring Rules

• Narrative and evidence markdown must be human-readable for auditors: no markdown headings, use lists/tables/code blocks/links.
• Markdown image embeds are temporarily disabled until platform-side file upload support is available.

Configuration

Credentials are stored at ~/.pretorin/config.json.

Variable	Description
PRETORIN_API_KEY	API key for platform access (overrides stored config)
PRETORIN_PLATFORM_API_BASE_URL	Platform REST API base URL (/api/v1/public)
PRETORIN_API_BASE_URL	Backward-compatible alias for PRETORIN_PLATFORM_API_BASE_URL
PRETORIN_MODEL_API_BASE_URL	Model API base URL used by agent/harness flows (default: https://platform.pretorin.com/v1)
OPENAI_API_KEY	Optional model key override for agent runtime

Documentation

• CLI reference: docs/CLI.md
• MCP integration guide: docs/MCP.md
• Bundled skill guide: pretorin-skill/SKILL.md
• Contributing: CONTRIBUTING.md

Development

git clone https://github.com/pretorin-ai/pretorin-cli.git
cd pretorin-cli
uv pip install -e ".[dev]"
pytest
ruff check src/pretorin
ruff format --check src/pretorin

License

MIT License. See LICENSE.