PLATO Deployment Approval Room

Deployment gating as a PLATO engine block — the third room in the SuperInstance ecosystem.

What is this?

A PLATO Room that gates deployments based on CI status, test coverage, security scans, and rate limits. It follows the PLATO architecture:

The room exposes the standard PLATO wire protocol — any PLATO client can connect, read sensors, check alarms, and trigger actuators.

Quick Start

Standalone (single deployment check)

export GITHUB_TOKEN=ghp_your_token_here
python -m plato_room_deployment_approval.room --repo owner/repo --pr 42 --once

Prints a deployment approval decision and exits.

Long-lived server

export GITHUB_TOKEN=ghp_your_token_here
python -m plato_room_deployment_approval.room --repo owner/repo --watch --port 1236

Then connect with any PLATO client:

from plato_core.protocol import PlatoClient

with PlatoClient.connect("localhost", 1236) as client:
    welcome = client.recv_response()
    print(f"Connected to {welcome.room_id}")

    client.send("tick")
    tick = client.recv_response()
    print(f"Deployment state: {tick.data}")

    client.send("alarm list")
    alarms = client.recv_response()
    for a in alarms.alarms:
        print(f"  {a.id}: {a.state}")

    # Approve deployment
    client.send("actuator approve_deployment 1")

GitHub Action

# .github/workflows/deployment-gate.yml
name: PLATO Deployment Gate
on:
  pull_request:
    types: [opened, synchronize]
  push:
    branches: [main]

jobs:
  gate:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: "3.12"
      - run: pip install plato-core plato-room-deployment-approval
      - run: |
          python -m plato_room_deployment_approval.room \
            --repo ${{ github.repository }} \
            --pr ${{ github.event.pull_request.number }} \
            --once
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

Deployment Checks

All checks are deterministic — no LLM, no fuzzy logic. Fast and auditable.

Conservation Law: Deployment Rate Limiting

Deployments are treated as a conserved quantity — the room enforces a maximum number of deployments per day (default: 10). This is the room's conservation law in action.

# Configure rate limit
room.set_conservation_limit("daily_deployments", 5)  # Max 5 deploys/day

# The room tracks deployments and blocks when the limit is reached
# This is not a suggestion — it's enforced by the room protocol

Configuration

Configure via plato-deployment.yml in your repo root:

gates:
  ci_passing: enabled
  coverage_delta:
    max_drop_pct: 5.0  # Block if coverage drops by more than 5%
  security_scan: enabled
  diff_size:
    warn_lines: 1000
    block_lines: 5000
  force_push_main: enabled
  rate_limit:
    max_daily: 10
  review_approval:
    required_reviewers: 1

Options: enabled, disabled, warn.

Architecture

                    PLATO Wire Protocol
                    (TCP, JSON lines)
                           │
          ┌────────────────┼────────────────┐
          │                │                │
     tick command     alarm list      actuator cmd
          │                │                │
          ▼                ▼                ▼
    ┌─────────────────────────────────────────────────┐
    │         Deployment Approval Room                │
    │                                                 │
    │  Sensors               Actuators                │
    │  ├─ ci_status          ├─ approve_deployment    │
    │  ├─ coverage_delta     ├─ block_deployment      │
    │  ├─ security_scan      ├─ post_approval         │
    │  ├─ diff_metrics       └─ trigger_rollback      │
    │  ├─ deployment_count   │                        │
    │  └─ review_status      │                        │
    │                                                 │
    │  Alarms                                        │
    │  ├─ coverage_drop (coverage_delta < -5.0)      │
    │  ├─ ci_failing (ci_failed > 0)                 │
    │  ├─ force_push_main (force_push == 1)          │
    │  └─ rate_limit_exceeded (daily_count >= max)   │
    │                                                 │
    │  Conservation                                  │
    │  └─ daily_deployments: max 10/day              │
    │                                                 │
    │  History (1000-tick ring buffer)                │
    │  └─ Full audit trail of all decisions           │
    └─────────────────────────────────────────────────┘
                           │
                    GitHub API
                           │
          ┌────────────────┼────────────────┐
          │                │                │
     Fetch CI status  Fetch coverage   Post approval
     Fetch PR info    Count deploys    Block merge

Conservation Laws

This room demonstrates conservation laws for AI agents — a core SuperInstance principle:

• Deployment rate is conserved: the room physically cannot exceed max_daily deployments
• Audit trail is conserved: all decisions are logged immutably in the history buffer
• Gate compliance is conserved: no deployment can bypass the gate checks

FLUX Policies

POLICY ci_must_pass {
    SENSE  ci_failed
    GUARD   ci_failed > 0
    ALARM   severity=critical
    ACTUATE block_deployment
    EMIT    "CI is failing — deployment blocked"
}

POLICY coverage_no_drop {
    SENSE  coverage_delta
    GUARD   coverage_delta < -5.0
    ALARM   severity=error
    ACTUATE block_deployment
    EMIT    "Coverage dropped below threshold"
}

Testing

pip install -e ".[test]"
pytest tests/ -v

All tests use simulated data — no GitHub API calls needed.

License

MIT — see LICENSE.

Part of

SuperInstance — the PLATO ecosystem.