# AI cluster memory limits — HARD caps, containers are OOM-killed and auto-restarted
# by Docker rather than consuming host memory. ai-cluster is the primary OOM suspect
# (unbounded Python workers, no limits since deployment).
#
# Architectural note: compute workloads here should migrate to SOLARIA (GPU node).
# Until migration: contain the blast radius with per-container limits.
#
# Pre-cutover: service-ops-worker still mounts compose/env from old paths.
# After cutover and git pull, these overrides are removed and base compose paths are used.

services:
  codex-worker:
    mem_limit: 64m

  openclaw:
    mem_limit: 128m

  planner-worker:
    mem_limit: 64m

  service-ops-worker:
    mem_limit: 64m
    # Pre-cutover: override bind mounts to keep pointing at old dockeruser paths
    volumes:
      - /home/dockeruser/docker/ai-cluster/docker-compose.yml:/app/docker-compose.yml:ro
      - /home/dockeruser/docker/ai-cluster/.env:/app/.env:ro
      - /var/run/docker.sock:/var/run/docker.sock:rw

  redis:
    mem_limit: 32m

  mosquitto:
    mem_limit: 32m