V2

examples/chat_history/memory.py

@@ -44,6 +44,8 @@ async def main() -> None:
         last_name="Smith",
         metadata={"vip": "true"},
     )
+    # await asyncio.sleep(1)
+    print(f"User added: {user_id}")
 
     session_id = uuid.uuid4().hex  # unique session id. can be any alphanum string
 
@@ -55,24 +57,26 @@ async def main() -> None:
         user_id=user_id,
         metadata={"foo": "bar"},
     )
-
+    # await asyncio.sleep(1)
     # Update session metadata
     print(f"\n---Updating session: {session_id}")
     await client.memory.update_session(session_id=session_id, metadata={"bar": "foo"})
-
+    # await asyncio.sleep(3)
     # Get session
     print(f"\n---Getting session: {session_id}")
     session = await client.memory.get_session(session_id)
     print(f"Session details: {session}")
+    # await asyncio.sleep(3)
 
     # Add Memory for session
     print(f"\n---Add Memory for Session: {session_id}")
     for m in history:
         print(f"{m['role']}: {m['content']}")
         await client.memory.add(session_id=session_id, messages=[Message(**m)])
+        # await asyncio.sleep(0.5)
 
     #  Wait for the messages to be processed
-    await asyncio.sleep(20)
+    await asyncio.sleep(50)
 
     # Synthesize a question from most recent messages.
     # Useful for RAG apps. This is faster than using an LLM chain.
@@ -94,16 +98,14 @@ async def main() -> None:
     )
     print(f"Classification: {classification}")
 
-    all_session_facts = await client.memory.get_session_facts(session_id)
-    for f in all_session_facts.facts:
-        print(f"{f.fact}\n")
-
     # Get Memory for session
     print(f"\n---Get Perpetual Memory for Session: {session_id}")
     memory = await client.memory.get(session_id)
     print(f"Memory: {memory}")
     print("\n---End of Memory")
 
+    print(f"Memory context: {memory.context}")
+
     # Search Memory for session
     query = "What are Jane's favorite shoe brands?"
     print(f"\n---Searching over summaries for: '{query}'")

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "zep-cloud"
-version = "2.0.1"
+version = "2.1.0"
 description = ""
 readme = "README.md"
 authors = []

src/zep_cloud/core/client_wrapper.py

@@ -17,7 +17,7 @@ def get_headers(self) -> typing.Dict[str, str]:
         headers: typing.Dict[str, str] = {
             "X-Fern-Language": "Python",
             "X-Fern-SDK-Name": "zep-cloud",
-            "X-Fern-SDK-Version": "2.0.1",
+            "X-Fern-SDK-Version": "2.1.0",
         }
         headers["Authorization"] = f"Api-Key {self.api_key}"
         return headers

src/zep_cloud/types/memory.py

@@ -11,6 +11,11 @@
 
 
 class Memory(pydantic_v1.BaseModel):
+    context: typing.Optional[str] = pydantic_v1.Field(default=None)
+    """
+    Memory context containing relevant facts and entities for the session. Can be put into the prompt directly.
+    """
+
     facts: typing.Optional[typing.List[str]] = pydantic_v1.Field(default=None)
     """
     Most recent list of facts derived from the session. (cloud only)