retries

tools/agent/agent_orchestrator.py

@@ -68,8 +68,9 @@ class AgentOrchestrator:
             print(f"⏱️  Estimated: {next_task.estimated_hours}h")
             print(f"{'='*80}\n")
             
-            # Start task
-            self.task_manager.start_task(next_task)
+            # Start task (only if not already in progress)
+            if next_task.status != "in_progress":
+                self.task_manager.start_task(next_task)
             
             # Check if task needs global lock (modifies common package)
             needs_global_lock = self._needs_global_lock(next_task)
@@ -83,28 +84,41 @@ class AgentOrchestrator:
                     return 0
             
             try:
-                # Execute task
-                success = self._execute_task(next_task)
-                
-                if success:
-                    # Task completed successfully
-                    print(f"\n✅ Task {next_task.id} completed successfully")
-                    self.task_manager.mark_task_completed(next_task.id)
-                else:
-                    # Task failed
-                    retry_count = self.task_manager.increment_retry()
+                # Retry loop: keep trying the same task until success or max retries
+                while True:
+                    # Get current retry count
+                    current_state = self.task_manager.load_state()
+                    retry_count = current_state.retry_count
                     
-                    if retry_count >= self.config.max_retries:
-                        print(f"\n❌ Task {next_task.id} failed after {retry_count} retries")
-                        self.task_manager.mark_task_failed(
-                            next_task.id,
-                            f"Failed after {retry_count} retries"
-                        )
-                        
-                        # Create GitHub issue
-                        self._create_issue_for_failed_task(next_task)
+                    if retry_count > 0:
+                        print(f"\n🔄 Retry attempt {retry_count}/{self.config.max_retries} for task {next_task.id}")
+                    
+                    # Execute task
+                    success = self._execute_task(next_task)
+                    
+                    if success:
+                        # Task completed successfully
+                        print(f"\n✅ Task {next_task.id} completed successfully")
+                        self.task_manager.mark_task_completed(next_task.id)
+                        break
                     else:
-                        print(f"\n⚠️  Task {next_task.id} failed, will retry ({retry_count}/{self.config.max_retries})")
+                        # Task failed, increment retry count
+                        retry_count = self.task_manager.increment_retry()
+                        
+                        if retry_count >= self.config.max_retries:
+                            print(f"\n❌ Task {next_task.id} failed after {retry_count} retries")
+                            self.task_manager.mark_task_failed(
+                                next_task.id,
+                                f"Failed after {retry_count} retries"
+                            )
+                            
+                            # Create GitHub issue
+                            self._create_issue_for_failed_task(next_task)
+                            break
+                        else:
+                            print(f"\n⚠️  Task {next_task.id} failed, retrying ({retry_count}/{self.config.max_retries})")
+                            print("Waiting before retry...")
+                            time.sleep(5)  # Small delay before retry
             
             finally:
                 # Release global lock if held

tools/agent/config.py

@@ -17,7 +17,7 @@ class AgentConfig:
     
     # Agent limits
     max_iterations: int = 10
-    max_retries: int = 3
+    max_retries: int = 5
     timeout_hours: int = 6
     
     # Cursor CLI settings