feat: Add agent workspace system and runtime management

- Add agent core modules (agent_core, factory, registry, skill_loader)
- Add runtime system for agent execution management
- Add REST API for agents, workspaces, and runtime control
- Add process supervisor for agent lifecycle management
- Add workspace template system with agent profiles
- Add frontend RuntimeView and runtime API integration
- Add per-agent skill workspaces for smoke_fullstack run
- Refactor skill system with active/installed separation

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

backend/process/models.py

@@ -0,0 +1,41 @@
+# -*- coding: utf-8 -*-
+"""Data models for lightweight process supervision."""
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from enum import Enum
+from typing import Any, Dict
+
+
+class ProcessRunState(str, Enum):
+    """Execution state for supervised runs."""
+
+    PENDING = "pending"
+    RUNNING = "running"
+    COMPLETED = "completed"
+    FAILED = "failed"
+    CANCELLED = "cancelled"
+
+
+@dataclass
+class ProcessRun:
+    """Represents a supervised process run."""
+
+    run_id: str
+    command: str
+    scope_key: str
+    state: ProcessRunState = ProcessRunState.PENDING
+    metadata: Dict[str, Any] = field(default_factory=dict)
+    created_at: datetime = field(default_factory=datetime.utcnow)
+    updated_at: datetime = field(default_factory=datetime.utcnow)
+
+    def to_dict(self) -> Dict[str, Any]:
+        return {
+            "run_id": self.run_id,
+            "command": self.command,
+            "scope_key": self.scope_key,
+            "state": self.state.value,
+            "metadata": self.metadata,
+            "created_at": self.created_at.isoformat(),
+            "updated_at": self.updated_at.isoformat(),
+        }