feat(mma): complete Phase 6 and finalize Comprehensive GUI UX track

- Implement Live Worker Streaming: wire ai_client.comms_log_callback to Tier 3 streams
- Add Parallel DAG Execution using asyncio.gather for non-dependent tickets
- Implement Automatic Retry with Model Escalation (Flash-Lite -> Flash -> Pro)
- Add Tier Model Configuration UI to MMA Dashboard with project TOML persistence
- Fix FPS reporting in PerformanceMonitor to prevent transient 0.0 values
- Update Ticket model with retry_count and dictionary-like access
- Stabilize Gemini CLI integration tests and handle script approval events in simulations
- Finalize and verify all 6 phases of the implementation plan

models.py

@@ -16,6 +16,7 @@ class Ticket:
  depends_on: List[str] = field(default_factory=list)
  blocked_reason: Optional[str] = None
  step_mode: bool = False
+ retry_count: int = 0
 
  def mark_blocked(self, reason: str) -> None:
   """Sets the ticket status to 'blocked' and records the reason."""
@@ -26,6 +27,10 @@ class Ticket:
   """Sets the ticket status to 'completed'."""
   self.status = "completed"
 
+ def get(self, key: str, default: Any = None) -> Any:
+  """Helper to provide dictionary-like access to dataclass fields."""
+  return getattr(self, key, default)
+
  def to_dict(self) -> Dict[str, Any]:
   return {
    "id": self.id,
@@ -37,6 +42,7 @@ class Ticket:
    "depends_on": self.depends_on,
    "blocked_reason": self.blocked_reason,
    "step_mode": self.step_mode,
+   "retry_count": self.retry_count,
   }
 
  @classmethod
@@ -51,6 +57,7 @@ class Ticket:
    depends_on=data.get("depends_on", []),
    blocked_reason=data.get("blocked_reason"),
    step_mode=data.get("step_mode", False),
+   retry_count=data.get("retry_count", 0),
   )
 
 @dataclass