name: sysadmin-env
version: "0.2.0"
description: reinforcement learning environment for linux server auto remediation

runtime:
  python: "3.11"
  entry_point: inference.py
  server_entry_point: server.app:app
  reset_endpoint: /reset
  step_endpoint: /step
  state_endpoint: /state
  websocket_endpoint: /ws
  healthcheck_endpoint: /health
  tasks_endpoint: /tasks

resources:
  vcpus: 2
  memory_gb: 8
  gpu: none
  max_runtime_minutes: 20

tasks:
  - id: nginx_crash
    difficulty: easy
    description: nginx crash with stale pid and config syntax error
    max_steps: 40
    time_limit_seconds: 300

  - id: disk_full
    difficulty: medium
    description: hidden sparse log file filling a loopback mount
    max_steps: 55
    time_limit_seconds: 420

  - id: network_broken
    difficulty: hard
    description: broken network namespace with corrupted routing tables
    max_steps: 70
    time_limit_seconds: 480

evaluation:
  protocol: sequential
  max_total_runtime_seconds: 1200
  tasks_order:
    - nginx_crash
    - disk_full
    - network_broken