Integrated the SlidingWindowConversationManager into app.py.

The agent is now configured to:

Keep a window of the last 20 messages.
Truncate large tool outputs to prevent context overflow.

app.py

@@ -55,6 +55,7 @@ from fastapi.middleware.cors import CORSMiddleware
 from pydantic import BaseModel
 
 from strands import Agent
+from strands.agent.conversation_manager import SlidingWindowConversationManager
 from strands.models.openai import OpenAIModel
 
 # Import confluence-ingestor
@@ -390,10 +391,22 @@ def create_enhanced_agent():
             model_id="gpt-4o",
             params={"temperature": 0.1, "max_tokens": 2048},
         )
-        _cached_agent = Agent(model=model, system_prompt=system_prompt, tools=tools)
+        # Create a conversation manager with custom window size
+        conversation_manager = SlidingWindowConversationManager(
+            window_size=20,  # Maximum number of messages to keep
+            should_truncate_results=True, # Enable truncating the tool result when a message is too large for the model's context window
+        )
+
+        _cached_agent = Agent(model=model, system_prompt=system_prompt, tools=tools, conversation_manager=conversation_manager)
     else:
-        _cached_agent = Agent(system_prompt=system_prompt, tools=tools)
-    
+        # Create a conversation manager with custom window size
+        conversation_manager = SlidingWindowConversationManager(
+            window_size=20,  # Maximum number of messages to keep
+            should_truncate_results=True, # Enable truncating the tool result when a message is too large for the model's context window
+        )
+
+        _cached_agent = Agent(system_prompt=system_prompt, tools=tools, conversation_manager=conversation_manager)
+
     return _cached_agent