Implement Interview feature for agent interactions in simulations

- Added a new Interview module to facilitate interactions with agents post-simulation, allowing for single and batch interviews.
- Introduced IPC communication mechanism for command and response handling between the Flask backend and simulation scripts.
- Updated README.md to include detailed instructions on the new Interview functionality, including API endpoints and usage examples.
- Enhanced simulation scripts to support waiting for commands after completion, improving user control over the simulation environment.
- Implemented error handling and logging for interview processes, ensuring robust operation and traceability.

backend/app/services/__init__.py

@@ -28,6 +28,14 @@ from .zep_graph_memory_updater import (
     ZepGraphMemoryManager,
     AgentActivity
 )
+from .simulation_ipc import (
+    SimulationIPCClient,
+    SimulationIPCServer,
+    IPCCommand,
+    IPCResponse,
+    CommandType,
+    CommandStatus
+)
 
 __all__ = [
     'OntologyGenerator', 
@@ -55,5 +63,11 @@ __all__ = [
     'ZepGraphMemoryUpdater',
     'ZepGraphMemoryManager',
     'AgentActivity',
+    'SimulationIPCClient',
+    'SimulationIPCServer',
+    'IPCCommand',
+    'IPCResponse',
+    'CommandType',
+    'CommandStatus',
 ]