# RunPod Pod Configuration
# Used by service_runpod_control.sh
#
# Usage:
#   service_runpod_control.sh create    # Create pod from this config
#   service_runpod_control.sh get       # Show pod status
#   service_runpod_control.sh start     # Start the pod
#   service_runpod_control.sh stop      # Stop the pod
#   service_runpod_control.sh remove    # Delete the pod

pod:
  # Required fields
  name: "runpod-ai-orchestrator"
  gpuType: "NVIDIA GeForce RTX 4090"
  gpuCount: 1

  # Template and volume IDs (from RunPod dashboard)
  templateId: "runpod-ai-orchestrator"
  networkVolumeId: "runpod-ai-orchestrator"
  imageName: "dev.pivoine.art/valknar/runpod-ai-orchestrator:latest"
  # Exposed ports
  ports:
    - "22/tcp"

  # Optional: Resource limits
  # containerDiskSize: 20      # GB (default: 20)
  # volumeSize: 1              # GB (default: 1)
  # volumePath: "/runpod"      # Mount path
  # mem: 20                    # Minimum memory GB
  # vcpu: 1                    # Minimum vCPUs

  # Optional: Cloud selection
  # secureCloud: false         # Use secure cloud only
  # communityCloud: false      # Use community cloud only

  # Optional: Custom image (overrides template)
  # imageName: "runpod/pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04"

  # Optional: Environment variables
  # env:
  #   - "HF_TOKEN=your_token_here"
  #   - "CUSTOM_VAR=value"