Remove unnecessary tools (#1979)

tests/llms/test_ollama.py

@@ -4,7 +4,6 @@
 
 from mem0.configs.llms.base import BaseLlmConfig
 from mem0.llms.ollama import OllamaLLM
-from mem0.llms.utils.tools import ADD_MEMORY_TOOL
 
 
 @pytest.fixture
@@ -33,36 +32,3 @@ def test_generate_response_without_tools(mock_ollama_client):
         model="llama3.1:70b", messages=messages, options={"temperature": 0.7, "num_predict": 100, "top_p": 1.0}
     )
     assert response == "I'm doing well, thank you for asking!"
-
-
-def test_generate_response_with_tools(mock_ollama_client):
-    config = BaseLlmConfig(model="llama3.1:70b", temperature=0.7, max_tokens=100, top_p=1.0)
-    llm = OllamaLLM(config)
-    messages = [
-        {"role": "system", "content": "You are a helpful assistant."},
-        {"role": "user", "content": "Add a new memory: Today is a sunny day."},
-    ]
-    tools = [ADD_MEMORY_TOOL]
-
-    mock_response = {
-        "message": {
-            "content": "I've added the memory for you.",
-            "tool_calls": [{"function": {"name": "add_memory", "arguments": {"data": "Today is a sunny day."}}}],
-        }
-    }
-
-    mock_ollama_client.chat.return_value = mock_response
-
-    response = llm.generate_response(messages, tools=tools)
-
-    mock_ollama_client.chat.assert_called_once_with(
-        model="llama3.1:70b",
-        messages=messages,
-        options={"temperature": 0.7, "num_predict": 100, "top_p": 1.0},
-        tools=tools,
-    )
-
-    assert response["content"] == "I've added the memory for you."
-    assert len(response["tool_calls"]) == 1
-    assert response["tool_calls"][0]["name"] == "add_memory"
-    assert response["tool_calls"][0]["arguments"] == {"data": "Today is a sunny day."}