Clean up obsolete window_size references and rename misleading variable

- Replace window_size parameter with model_name in examples and test files
- Rename effective_window_size to effective_token_limit in API for clarity
- Update all references to use the current token-based API instead of
  the old message-count based window_size approach

Author: abrookins

CLAUDE.md

@@ -1,5 +1,9 @@
 # CLAUDE.md - Redis Agent Memory Server Project Context
 
+## Redis Version
+This project uses Redis 8, which is the redis:8 docker image.
+Do not use Redis Stack or other earlier versions of Redis.
+
 ## Frequently Used Commands
 Get started in a new environment by installing `uv`:
 ```bash

agent_memory_server/api.py

@@ -588,12 +588,10 @@ async def memory_prompt(
                 model_name=params.session.model_name,
                 context_window_max=params.session.context_window_max,
             )
-            effective_window_size = (
-                token_limit  # We'll handle token-based truncation below
-            )
+            effective_token_limit = token_limit
         else:
             # No model info provided - use all messages without truncation
-            effective_window_size = None
+            effective_token_limit = None
         working_mem = await working_memory.get_working_memory(
             session_id=params.session.session_id,
             namespace=params.session.namespace,
@@ -615,19 +613,19 @@ async def memory_prompt(
                     )
                 )
             # Apply token-based truncation if model info is provided
-            if effective_window_size is not None:
+            if effective_token_limit is not None:
                 # Token-based truncation
                 if (
                     _calculate_messages_token_count(working_mem.messages)
-                    > effective_window_size
+                    > effective_token_limit
                 ):
                     # Keep removing oldest messages until we're under the limit
                     recent_messages = working_mem.messages[:]
                     while len(recent_messages) > 1:  # Always keep at least 1 message
                         recent_messages = recent_messages[1:]  # Remove oldest
                         if (
                             _calculate_messages_token_count(recent_messages)
-                            <= effective_window_size
+                            <= effective_token_limit
                         ):
                             break
                 else:

examples/memory_prompt_agent.py

@@ -123,7 +123,7 @@ async def _get_memory_prompt(
             session_id=session_id,
             query=user_input,
             # Optional parameters to control memory retrieval
-            window_size=30,  # Controls working memory messages
+            model_name="gpt-4o-mini",  # Controls token-based truncation
             long_term_search={"limit": 30},  # Controls long-term memory limit
             user_id=user_id,
         )

examples/travel_agent.py

@@ -255,7 +255,7 @@ async def _get_working_memory(self, session_id: str, user_id: str) -> WorkingMem
         result = await client.get_working_memory(
             session_id=session_id,
             namespace=self._get_namespace(user_id),
-            window_size=15,
+            model_name="gpt-4o-mini",  # Controls token-based truncation
         )
         return WorkingMemory(**result.model_dump())
 

manual_oauth_qa/manual_auth0_test.py

@@ -180,7 +180,7 @@ def run_comprehensive_test(self):
                     "session": {
                         "session_id": "test-session-auth0",
                         "namespace": "test-auth0",
-                        "window_size": 10,
+                        "model_name": "gpt-4o-mini",
                     },
                 },
             ),

manual_oauth_qa/test_auth0.py

@@ -180,7 +180,7 @@ def run_comprehensive_test(self):
                     "session": {
                         "session_id": "test-session-auth0",
                         "namespace": "test-auth0",
-                        "window_size": 10,
+                        "model_name": "gpt-4o-mini",
                     },
                 },
             ),