Remove tools from LLMs (#2363)

tests/llms/test_litellm.py

@@ -13,17 +13,22 @@ def mock_litellm():
 
 
 def test_generate_response_with_unsupported_model(mock_litellm):
-    config = BaseLlmConfig(model="unsupported-model", temperature=0.7, max_tokens=100, top_p=1)
+    config = BaseLlmConfig(
+        model="unsupported-model", temperature=0.7, max_tokens=100, top_p=1
+    )
     llm = litellm.LiteLLM(config)
     messages = [{"role": "user", "content": "Hello"}]
 
     mock_litellm.supports_function_calling.return_value = False
 
-    with pytest.raises(ValueError, match="Model 'unsupported-model' in litellm does not support function calling."):
+    with pytest.raises(
+        ValueError,
+        match="Model 'unsupported-model' in LiteLLM does not support function calling.",
+    ):
         llm.generate_response(messages)
 
 
-def test_generate_response_without_tools(mock_litellm):
+def test_generate_response(mock_litellm):
     config = BaseLlmConfig(model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1)
     llm = litellm.LiteLLM(config)
     messages = [
@@ -32,7 +37,9 @@ def test_generate_response_without_tools(mock_litellm):
     ]
 
     mock_response = Mock()
-    mock_response.choices = [Mock(message=Mock(content="I'm doing well, thank you for asking!"))]
+    mock_response.choices = [
+        Mock(message=Mock(content="I'm doing well, thank you for asking!"))
+    ]
     mock_litellm.completion.return_value = mock_response
     mock_litellm.supports_function_calling.return_value = True
 
@@ -42,50 +49,3 @@ def test_generate_response_without_tools(mock_litellm):
         model="gpt-4o", messages=messages, temperature=0.7, max_tokens=100, top_p=1.0
     )
     assert response == "I'm doing well, thank you for asking!"
-
-
-def test_generate_response_with_tools(mock_litellm):
-    config = BaseLlmConfig(model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1)
-    llm = litellm.LiteLLM(config)
-    messages = [
-        {"role": "system", "content": "You are a helpful assistant."},
-        {"role": "user", "content": "Add a new memory: Today is a sunny day."},
-    ]
-    tools = [
-        {
-            "type": "function",
-            "function": {
-                "name": "add_memory",
-                "description": "Add a memory",
-                "parameters": {
-                    "type": "object",
-                    "properties": {"data": {"type": "string", "description": "Data to add to memory"}},
-                    "required": ["data"],
-                },
-            },
-        }
-    ]
-
-    mock_response = Mock()
-    mock_message = Mock()
-    mock_message.content = "I've added the memory for you."
-
-    mock_tool_call = Mock()
-    mock_tool_call.function.name = "add_memory"
-    mock_tool_call.function.arguments = '{"data": "Today is a sunny day."}'
-
-    mock_message.tool_calls = [mock_tool_call]
-    mock_response.choices = [Mock(message=mock_message)]
-    mock_litellm.completion.return_value = mock_response
-    mock_litellm.supports_function_calling.return_value = True
-
-    response = llm.generate_response(messages, tools=tools)
-
-    mock_litellm.completion.assert_called_once_with(
-        model="gpt-4o", messages=messages, temperature=0.7, max_tokens=100, top_p=1, tools=tools, tool_choice="auto"
-    )
-
-    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."}