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/control-panel-backend/app/models/tenant_template.py

@@ -0,0 +1,59 @@
+"""
+Tenant Template Model
+Stores reusable tenant configuration templates
+"""
+from datetime import datetime
+from typing import Dict, Any
+from sqlalchemy import Column, Integer, String, Text, Boolean, DateTime
+from sqlalchemy.dialects.postgresql import JSONB
+from sqlalchemy.sql import func
+
+from app.core.database import Base
+
+
+class TenantTemplate(Base):
+    """Tenant template model for storing reusable configurations"""
+
+    __tablename__ = "tenant_templates"
+
+    id = Column(Integer, primary_key=True, index=True)
+    name = Column(String(100), nullable=False, index=True)
+    description = Column(Text, nullable=True)
+    template_data = Column(JSONB, nullable=False)
+    is_default = Column(Boolean, nullable=False, default=False)
+    created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
+    updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
+
+    def __repr__(self):
+        return f"<TenantTemplate(id={self.id}, name='{self.name}')>"
+
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert template to dictionary"""
+        return {
+            "id": self.id,
+            "name": self.name,
+            "description": self.description,
+            "template_data": self.template_data,
+            "is_default": self.is_default,
+            "created_at": self.created_at.isoformat() if self.created_at else None,
+            "updated_at": self.updated_at.isoformat() if self.updated_at else None
+        }
+
+    def get_summary(self) -> Dict[str, Any]:
+        """Get template summary with resource counts"""
+        model_count = len(self.template_data.get("model_configs", []))
+        agent_count = len(self.template_data.get("agents", []))
+        dataset_count = len(self.template_data.get("datasets", []))
+
+        return {
+            "id": self.id,
+            "name": self.name,
+            "description": self.description,
+            "is_default": self.is_default,
+            "resource_counts": {
+                "models": model_count,
+                "agents": agent_count,
+                "datasets": dataset_count
+            },
+            "created_at": self.created_at.isoformat() if self.created_at else None
+        }