Fix: Migrate Gemini Embeddings (#3002)

Co-authored-by: Dev-Khant <devkhant24@gmail.com>

tests/llms/test_gemini.py

@@ -0,0 +1,154 @@
+from unittest.mock import Mock, patch
+
+import pytest
+from google.genai import types
+
+from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.gemini import GeminiLLM
+
+
+@pytest.fixture
+def mock_gemini_client():
+    with patch("mem0.llms.gemini.genai") as mock_client_class:
+        mock_client = Mock()
+        mock_client_class.return_value = mock_client
+        yield mock_client
+
+
+def test_generate_response_without_tools(mock_gemini_client: Mock):
+    config = BaseLlmConfig(model="gemini-2.0-flash-latest", temperature=0.7, max_tokens=100, top_p=1.0)
+    llm = GeminiLLM(config)
+    messages = [
+        {"role": "system", "content": "You are a helpful assistant."},
+        {"role": "user", "content": "Hello, how are you?"},
+    ]
+
+    mock_part = Mock(text="I'm doing well, thank you for asking!")
+    mock_embedding = Mock()
+    mock_embedding.values = [0.1, 0.2, 0.3]
+
+    mock_response = Mock()
+    mock_response.candidates = [Mock()]
+    mock_response.candidates[0].content.parts = [Mock()]
+    mock_response.candidates[0].content.parts[0].text = "I'm doing well, thank you for asking!"
+
+    mock_gemini_client.models.generate_content.return_value = mock_response
+    mock_content = Mock(parts=[mock_part])
+    mock_message = Mock(content=mock_content)
+    mock_response = Mock(candidates=[mock_message])
+    mock_gemini_client.generate_content.return_value = mock_response
+
+    response = llm.generate_response(messages)
+
+    mock_gemini_client.generate_content.assert_called_once_with(
+        contents=[
+            {"parts": "THIS IS A SYSTEM PROMPT. YOU MUST OBEY THIS: You are a helpful assistant.", "role": "user"},
+            {"parts": "Hello, how are you?", "role": "user"},
+        ],
+        config=types.GenerateContentConfig(
+              temperature=0.7, 
+              max_output_tokens=100, 
+              top_p=1.0,
+              tools=None,
+              tool_config=types.ToolConfig(
+                function_calling_config=types.FunctionCallingConfig(
+                    allowed_function_names=None,
+                    mode="auto"
+                
+                )
+            )
+    )   )
+    
+    assert response == "I'm doing well, thank you for asking!"
+
+
+
+def test_generate_response_with_tools(mock_gemini_client: Mock):
+    config = BaseLlmConfig(model="gemini-1.5-flash-latest", temperature=0.7, max_tokens=100, top_p=1.0)
+    llm = GeminiLLM(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_tool_call = Mock()
+    mock_tool_call.name = "add_memory"
+    mock_tool_call.args = {"data": "Today is a sunny day."}
+
+    mock_part = Mock()
+    mock_part.function_call = mock_tool_call
+    mock_part.text = "I've added the memory for you."
+
+    mock_content = Mock()
+    mock_content.parts = [mock_part]
+
+    mock_message = Mock()
+    mock_message.content = mock_content
+
+    mock_response = Mock(candidates=[mock_message])
+    mock_gemini_client.generate_content.return_value = mock_response
+
+    response = llm.generate_response(messages, tools=tools)
+
+    mock_gemini_client.generate_content.assert_called_once_with(
+        contents=[
+            {
+                "parts": "THIS IS A SYSTEM PROMPT. YOU MUST OBEY THIS: You are a helpful assistant.",
+                "role": "user"
+            },
+            {
+                "parts": "Add a new memory: Today is a sunny day.",
+                "role": "user"
+            },
+        ],
+        config=types.GenerateContentConfig(
+            temperature=0.7,
+            max_output_tokens=100,
+            top_p=1.0,
+            tools=[
+                types.Tool(
+                    function_declarations=[
+                        types.FunctionDeclaration(
+                            name="add_memory",
+                            description="Add a memory",
+                            parameters={
+                                "type": "object",
+                                "properties": {
+                                    "data": {
+                                        "type": "string",
+                                        "description": "Data to add to memory"
+                                    }
+                                },
+                                "required": ["data"]
+                            }
+                        )
+                    ]
+                )
+            ],
+            tool_config=types.ToolConfig(
+                function_calling_config=types.FunctionCallingConfig(
+                    allowed_function_names=None,
+                    mode="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."}