feat: add RunPod pod configuration and control script

Add runpod.yml for declarative pod configuration with GPU type, template,
network volume, and port settings. Works with service_runpod_control.sh
CLI wrapper for managing RunPod instances.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

runpod.yml

@@ -0,0 +1,42 @@
+# 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"
+
+  # 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"