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/tfa_rate_limit.py

@@ -0,0 +1,112 @@
+"""
+TFA Verification Rate Limiting Model
+
+Tracks failed TFA verification attempts per user with 1-minute rolling windows.
+"""
+from datetime import datetime, timedelta, timezone
+from sqlalchemy import Column, Integer, DateTime, ForeignKey, select
+from sqlalchemy.orm import relationship
+from sqlalchemy.sql import func
+
+from app.core.database import Base
+
+
+class TFAVerificationRateLimit(Base):
+    """Track TFA verification attempts per user (user-based rate limiting only)"""
+
+    __tablename__ = "tfa_verification_rate_limits"
+
+    id = Column(Integer, primary_key=True, index=True)
+    user_id = Column(Integer, ForeignKey("users.id", ondelete="CASCADE"), nullable=False, index=True)
+    request_count = Column(Integer, nullable=False, default=1)
+    window_start = Column(DateTime(timezone=True), nullable=False)
+    window_end = Column(DateTime(timezone=True), nullable=False, index=True)
+    created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
+
+    # Relationship
+    user = relationship("User", foreign_keys=[user_id])
+
+    @staticmethod
+    async def is_rate_limited(user_id: int, db_session) -> bool:
+        """
+        Check if user is rate limited (5 attempts per 1 minute) - async
+
+        Args:
+            user_id: User ID to check
+            db_session: AsyncSession
+
+        Returns:
+            True if rate limited, False otherwise
+        """
+        now = datetime.now(timezone.utc)
+
+        # Find active rate limit record for this user
+        result = await db_session.execute(
+            select(TFAVerificationRateLimit).where(
+                TFAVerificationRateLimit.user_id == user_id,
+                TFAVerificationRateLimit.window_end > now
+            )
+        )
+        record = result.scalar_one_or_none()
+
+        if not record:
+            return False
+
+        # Check if limit exceeded (5 attempts per minute)
+        return record.request_count >= 5
+
+    @staticmethod
+    async def record_attempt(user_id: int, db_session) -> None:
+        """
+        Record a TFA verification attempt for user - async
+
+        Args:
+            user_id: User ID
+            db_session: AsyncSession
+        """
+        now = datetime.now(timezone.utc)
+
+        # Find or create rate limit record
+        result = await db_session.execute(
+            select(TFAVerificationRateLimit).where(
+                TFAVerificationRateLimit.user_id == user_id,
+                TFAVerificationRateLimit.window_end > now
+            )
+        )
+        record = result.scalar_one_or_none()
+
+        if record:
+            # Increment existing record
+            record.request_count += 1
+        else:
+            # Create new record with 1-minute window
+            record = TFAVerificationRateLimit(
+                user_id=user_id,
+                request_count=1,
+                window_start=now,
+                window_end=now + timedelta(minutes=1)
+            )
+            db_session.add(record)
+
+        await db_session.commit()
+
+    @staticmethod
+    def cleanup_expired(db_session) -> int:
+        """
+        Clean up expired rate limit records
+
+        Args:
+            db_session: Database session
+
+        Returns:
+            Number of records deleted
+        """
+        now = datetime.utcnow()
+        deleted = db_session.query(TFAVerificationRateLimit).filter(
+            TFAVerificationRateLimit.window_end < now
+        ).delete()
+        db_session.commit()
+        return deleted
+
+    def __repr__(self):
+        return f"<TFAVerificationRateLimit(user_id={self.user_id}, count={self.request_count}, window_end={self.window_end})>"