single task

tools/agent/agent_orchestrator.py

@@ -1,6 +1,6 @@
 """
 Main orchestrator for AI agent execution.
-Manages the development cycle: read tasks -> execute -> test -> commit -> repeat
+Executes a single task per run: read task -> execute -> test -> commit
 """
 import sys
 import subprocess
@@ -33,12 +33,12 @@ class AgentOrchestrator:
     
     def run(self) -> int:
         """
-        Main execution loop.
+        Execute a single task from the task list.
         Returns: 0 on success, 1 on error
         """
         print(f"🚀 Starting AI Agent for component: {self.config.component}")
         print(f"📁 Project root: {self.config.project_root}")
-        print(f"🎯 Max iterations: {self.config.max_iterations}")
+        print(f"🎯 Executing one task per run")
         
         # Check if another agent is running
         if self.task_manager.is_agent_running():
@@ -47,14 +47,12 @@ class AgentOrchestrator:
             return 0
         
         try:
-            # Main development loop
-            while True:
             state = self.task_manager.load_state()
             
             # Check iteration limit
             if state.iteration_count >= self.config.max_iterations:
                 print(f"\n⏹️  Reached maximum iterations ({self.config.max_iterations})")
-                    break
+                return 0
             
             # Get next task
             next_task = self.task_manager.get_next_task()
@@ -62,10 +60,10 @@ class AgentOrchestrator:
             if not next_task:
                 print("\n✅ All tasks completed!")
                 self.task_manager.reset_state()
-                    break
+                return 0
             
             print(f"\n{'='*80}")
-                print(f"📋 Task {state.iteration_count + 1}/{self.config.max_iterations}: {next_task.id}")
+            print(f"📋 Task: {next_task.id}")
             print(f"📝 {next_task.title}")
             print(f"⏱️  Estimated: {next_task.estimated_hours}h")
             print(f"{'='*80}\n")
@@ -82,7 +80,7 @@ class AgentOrchestrator:
                         next_task.id,
                         "Global lock not available"
                     )
-                        continue
+                    return 0
             
             try:
                 # Execute task
@@ -113,10 +111,7 @@ class AgentOrchestrator:
                 if needs_global_lock:
                     self.global_lock.release(self.config.component)
             
-                # Small delay between tasks
-                time.sleep(2)
-            
-            print("\n🎉 Agent execution completed")
+            print("\n🎉 Agent execution completed (one task)")
             return 0
         
         except KeyboardInterrupt: