Fix ClientMemoryRecord import - use agent_memory_client.models

ClientMemoryRecord, WorkingMemory, MemoryMessage, and UserId are not exported
from agent_memory_client.__init__.py, they must be imported from
agent_memory_client.models instead.

Fixed in:
- agent.py
- tools.py
- section-3-memory/02_long_term_memory.ipynb

This should fix the ImportError in CI.

Author: abrookins

python-recipes/context-engineering/notebooks/section-3-memory/02_long_term_memory.ipynb

@@ -104,7 +104,8 @@
         "import os\n",
         "import asyncio\n",
         "from datetime import datetime\n",
-        "from agent_memory_client import MemoryAPIClient as MemoryClient, MemoryClientConfig, ClientMemoryRecord\n",
+        "from agent_memory_client import MemoryAPIClient as MemoryClient, MemoryClientConfig\n",
+        "from agent_memory_client.models import ClientMemoryRecord\n",
         "\n",
         "# Initialize memory client\n",
         "student_id = \"student_123\"\n",

python-recipes/context-engineering/reference-agent/redis_context_course/agent.py

@@ -226,7 +226,7 @@ async def _save_working_memory(self, state: AgentState) -> AgentState:
         # Save to working memory
         # The Agent Memory Server will automatically extract important memories
         # to long-term storage based on its configured extraction strategy
-        from agent_memory_client import WorkingMemory, MemoryMessage
+        from agent_memory_client.models import WorkingMemory, MemoryMessage
 
         # Convert messages to MemoryMessage format
         memory_messages = [MemoryMessage(**msg) for msg in messages]
@@ -363,7 +363,7 @@ async def _store_memory_tool(
             memory_type: Type of memory - "semantic" for facts/preferences, "episodic" for events
             topics: Related topics for filtering (e.g., ["preferences", "courses"])
         """
-        from agent_memory_client import ClientMemoryRecord
+        from agent_memory_client.models import ClientMemoryRecord
 
         memory = ClientMemoryRecord(
             text=text,
@@ -388,7 +388,7 @@ async def _search_memories_tool(
             query: Search query (e.g., "student preferences")
             limit: Maximum number of results to return
         """
-        from agent_memory_client import UserId
+        from agent_memory_client.models import UserId
 
         results = await self.memory_client.search_long_term_memory(
             text=query,

python-recipes/context-engineering/reference-agent/redis_context_course/tools.py

@@ -213,7 +213,7 @@ async def store_memory(text: str, memory_type: str = "semantic", topics: List[st
         - text="Student completed CS101 with grade A", memory_type="episodic", topics=["courses", "grades"]
         """
         try:
-            from agent_memory_client import ClientMemoryRecord
+            from agent_memory_client.models import ClientMemoryRecord
 
             # Note: user_id should be passed from the calling context
             # For now, we'll let the client use its default namespace