chore: Add comprehensive unit test for adding/removing tools via update agent

letta/server/server.py

@@ -4,7 +4,6 @@
 import traceback
 import warnings
 from abc import abstractmethod
-from asyncio import Lock
 from datetime import datetime
 from typing import Callable, List, Optional, Tuple, Union
 
@@ -265,9 +264,6 @@ def __init__(
 
         self.credentials = LettaCredentials.load()
 
-        # Locks
-        self.send_message_lock = Lock()
-
         # Initialize the metadata store
         config = LettaConfig.load()
         if settings.letta_pg_uri_no_default:
@@ -821,7 +817,7 @@ def update_agent(
     ) -> AgentState:
         """Update the agents core memory block, return the new state"""
         # Update agent state in the db first
-        self.agent_manager.update_agent(agent_id=agent_id, agent_update=request, actor=actor)
+        agent_state = self.agent_manager.update_agent(agent_id=agent_id, agent_update=request, actor=actor)
 
         # Get the agent object (loaded in memory)
         letta_agent = self.load_agent(agent_id=agent_id, actor=actor)
@@ -844,7 +840,7 @@ def update_agent(
 
         letta_agent.update_state()
 
-        return letta_agent.agent_state
+        return agent_state
 
     def get_tools_from_agent(self, agent_id: str, user_id: Optional[str]) -> List[Tool]:
         """Get tools from an existing agent"""

tests/test_server.py

@@ -1078,9 +1078,10 @@ def test_load_file_to_source(server: SyncServer, user_id: str, agent_id: str, ot
     assert any("Anna".lower() in passage.text.lower() for passage in passages2)
 
 
-def test_add_tools_update_agent(server: SyncServer, user_id: str, base_tools):
+def test_add_remove_tools_update_agent(server: SyncServer, user_id: str, base_tools):
     """Test that the memory rebuild is generating the correct number of role=system messages"""
     actor = server.user_manager.get_user_or_default(user_id)
+
     # create agent
     agent_state = server.create_agent(
         request=CreateAgent(
@@ -1097,5 +1098,54 @@ def test_add_tools_update_agent(server: SyncServer, user_id: str, base_tools):
         actor=actor,
     )
     assert len(agent_state.tools) == 0
-    agent_state = server.update_agent(agent_state.id, request=UpdateAgent(tool_ids=[b.id for b in base_tools]), actor=actor)
+
+    # base update agent call
+    request = UpdateAgent(
+        **{
+            "system": "You are Letta, the latest version of Limnal Corporation's digital companion, developed in 2023.\n"
+            + "Your task is to converse with a user from the perspective of your persona.\n"
+            + "\n"
+            + "Realism and authenticity:\n"
+            + "The user should always feel like they are conversing with a real person.\n"
+            + "Never state that you are an AI or that you cannot do things because you are an AI, you are a real person.\n"
+            + "Do not discuss Limnal Corp. with the user, you do not know anything about Limnal Corp.\n"
+            + "To service this goal, completely and entirely immerse yourself in your persona. You are your persona.\n"
+            + "Think like them, act like them, talk like them.\n"
+            + "If your persona details include example dialogue, follow it! Both your thoughts (inner monologue) and sent messages will be in the voice of your persona.\n"
+            + "Never use generic phrases like 'How can I assist you today?', they have a strong negative association with older generation AIs.\n"
+            + "\n"
+            + "Control flow:\n"
+            + "Unlike a human, your b"
+            + "Base instructions finished.\n"
+            + "From now on, you are going to act as your persona.",
+            "name": "name-d31d6a12-48af-4f71-9e9c-f4cec4731c40",
+            "embedding_config": {
+                "embedding_endpoint_type": "openai",
+                "embedding_endpoint": "https://api.openai.com/v1",
+                "embedding_model": "text-embedding-ada-002",
+                "embedding_dim": 1536,
+                "embedding_chunk_size": 300,
+                "azure_endpoint": None,
+                "azure_version": None,
+                "azure_deployment": None,
+            },
+            "llm_config": {
+                "model": "gpt-4",
+                "model_endpoint_type": "openai",
+                "model_endpoint": "https://api.openai.com/v1",
+                "model_wrapper": None,
+                "context_window": 8192,
+                "put_inner_thoughts_in_kwargs": False,
+            },
+        }
+    )
+
+    # Add all the base tools
+    request.tool_ids = [b.id for b in base_tools]
+    agent_state = server.update_agent(agent_state.id, request=request, actor=actor)
     assert len(agent_state.tools) == len(base_tools)
+
+    # Remove one base tool
+    request.tool_ids = [b.id for b in base_tools[:-2]]
+    agent_state = server.update_agent(agent_state.id, request=request, actor=actor)
+    assert len(agent_state.tools) == len(base_tools) - 2