docs: added example script based on sqlite_session example

Author: maxmekiska

examples/memory/encrypted_session_example.py

@@ -0,0 +1,105 @@
+"""
+Example demonstrating encrypted session memory functionality.
+
+This example shows how to use encrypted session memory to maintain conversation history
+across multiple agent runs with automatic encryption and TTL-based expiration.
+The EncryptedSession wrapper provides transparent encryption over any underlying session.
+"""
+
+import asyncio
+
+from agents import Agent, Runner, SQLiteSession
+from agents.extensions.memory import EncryptedSession
+
+
+async def main():
+    # Create an agent
+    agent = Agent(
+        name="Assistant",
+        instructions="Reply very concisely.",
+    )
+
+    # Create an underlying session (SQLiteSession in this example)
+    session_id = "conversation_123"
+    underlying_session = SQLiteSession(session_id)
+
+    # Wrap with encrypted session for automatic encryption and TTL
+    session = EncryptedSession(
+        session_id=session_id,
+        underlying_session=underlying_session,
+        encryption_key="my-secret-encryption-key",  # In production, use ENCRYPTION_KEY env var
+        ttl=3600,  # 1 hour TTL for messages
+    )
+
+    print("=== Encrypted Session Example ===")
+    print("The agent will remember previous messages automatically with encryption.\n")
+
+    # First turn
+    print("First turn:")
+    print("User: What city is the Golden Gate Bridge in?")
+    result = await Runner.run(
+        agent,
+        "What city is the Golden Gate Bridge in?",
+        session=session,
+    )
+    print(f"Assistant: {result.final_output}")
+    print()
+
+    # Second turn - the agent will remember the previous conversation
+    print("Second turn:")
+    print("User: What state is it in?")
+    result = await Runner.run(agent, "What state is it in?", session=session)
+    print(f"Assistant: {result.final_output}")
+    print()
+
+    # Third turn - continuing the conversation
+    print("Third turn:")
+    print("User: What's the population of that state?")
+    result = await Runner.run(
+        agent,
+        "What's the population of that state?",
+        session=session,
+    )
+    print(f"Assistant: {result.final_output}")
+    print()
+
+    print("=== Conversation Complete ===")
+    print("Notice how the agent remembered the context from previous turns!")
+    print("All conversation history was automatically encrypted and stored securely.")
+
+    # Demonstrate the limit parameter - get only the latest 2 items
+    print("\n=== Latest Items Demo ===")
+    latest_items = await session.get_items(limit=2)
+    print("Latest 2 items (automatically decrypted):")
+    for i, msg in enumerate(latest_items, 1):
+        role = msg.get("role", "unknown")
+        content = msg.get("content", "")
+        print(f"  {i}. {role}: {content}")
+
+    print(f"\nFetched {len(latest_items)} out of total conversation history.")
+
+    # Get all items to show the difference
+    all_items = await session.get_items()
+    print(f"Total items in session: {len(all_items)}")
+
+    # Show that underlying storage is encrypted
+    print("\n=== Encryption Demo ===")
+    print("Checking underlying storage to verify encryption...")
+    raw_items = await underlying_session.get_items()
+    print("Raw encrypted items in underlying storage:")
+    for i, item in enumerate(raw_items, 1):
+        if isinstance(item, dict) and item.get("__enc__") == 1:
+            print(
+                f"  {i}. Encrypted envelope: __enc__={item['__enc__']}, payload length={len(item.get('payload', ''))}"
+            )
+        else:
+            print(f"  {i}. Unencrypted item: {item}")
+
+    print(f"\nAll {len(raw_items)} items are stored encrypted with TTL-based expiration.")
+
+    # Clean up
+    underlying_session.close()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())