# WP30 resource guardrails (enforced by the runner; a trial must not silently expand a cap)
hardware:
  local_node: laptop-m5max            # Apple M5 Max, 18 cores, 48 GiB unified memory, macOS 27.0
  remote_nodes: [M3U96b]              # MacLustr, LAN 192.168.2.85, mlx available; used only for E2/E6 transfer
limits:
  trial_timeout_s: 600                # one attempt; timeout recorded as censoring bound
  batch_timeout_s: 14400
  max_concurrent_workers: 1           # single-model execution per process; Metal is not time-shared for timing trials
  memory_guard_bytes: 40000000000     # abort a trial if mlx active memory would exceed 40 GB
  disk_allowance_bytes: 150000000000  # runs/ + data/ + models
  max_context_tokens: 16384
budgets:
  api:
    enabled: true                     # keys found in sibling WP .env files (same author); probed live 2026-10-29
    hard_cap_usd: 25.0                # total for Track D; runner stops scheduling hosted trials beyond this
    providers:
      anthropic: {model: claude-haiku-4-5, max_output_tokens: 256}
      openai: {model: gpt-5-nano, max_output_tokens: 256}
  training:
    mapper_max_device_hours: 6.0      # Phase 6 learned mapper (if run); checkpoints saved every epoch
retry:
  max_attempts: 2                     # first attempt + one retry on implementation_error/timeout; both kept
  retry_on: [timeout, implementation_error]