GT AI OS Community v2.0.33 - Add NVIDIA NIM and Nemotron agents

- Updated python_coding_microproject.csv to use NVIDIA NIM Kimi K2
- Updated kali_linux_shell_simulator.csv to use NVIDIA NIM Kimi K2
  - Made more general-purpose (flexible targets, expanded tools)
- Added nemotron-mini-agent.csv for fast local inference via Ollama
- Added nemotron-agent.csv for advanced reasoning via Ollama
- Added wiki page: Projects for NVIDIA NIMs and Nemotron

apps/resource-cluster/app/api/health.py

@@ -0,0 +1,58 @@
+"""
+Health check endpoints for Resource Cluster
+"""
+
+from fastapi import APIRouter, HTTPException
+from typing import Dict, Any
+import logging
+
+from app.core.backends import get_backend
+
+router = APIRouter()
+logger = logging.getLogger(__name__)
+
+
+@router.get("/")
+async def health_check() -> Dict[str, Any]:
+    """Basic health check"""
+    return {
+        "status": "healthy",
+        "service": "resource-cluster"
+    }
+
+
+@router.get("/ready")
+async def readiness_check() -> Dict[str, Any]:
+    """Readiness check for Kubernetes"""
+    try:
+        # Check if critical backends are initialized
+        groq_backend = get_backend("groq_proxy")
+        
+        return {
+            "status": "ready",
+            "backends": {
+                "groq_proxy": groq_backend is not None
+            }
+        }
+    except Exception as e:
+        logger.error(f"Readiness check failed: {e}")
+        raise HTTPException(status_code=503, detail="Service not ready")
+
+
+@router.get("/backends")
+async def backend_health() -> Dict[str, Any]:
+    """Check health of all resource backends"""
+    health_status = {}
+    
+    try:
+        # Check Groq backend
+        groq_backend = get_backend("groq_proxy")
+        groq_health = await groq_backend.check_health()
+        health_status["groq"] = groq_health
+    except Exception as e:
+        health_status["groq"] = {"error": str(e)}
+    
+    return {
+        "status": "operational",
+        "backends": health_status
+    }