Fix: Migrate Gemini Embeddings (#3002)

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

tests/embeddings/test_gemini_emeddings.py

@@ -28,3 +28,29 @@ def test_embed_query(mock_genai, config):
 
     assert embedding == [0.1, 0.2, 0.3, 0.4]
     mock_genai.assert_called_once_with(model="test_model", content="Hello, world!", output_dimensionality=786)
+
+def test_embed_returns_empty_list_if_none(mock_genai, config):
+    mock_genai.return_value = None
+
+    embedder = GoogleGenAIEmbedding(config)
+    result = embedder.embed("test")
+
+    assert result == []
+    mock_genai.assert_called_once()
+
+
+def test_embed_raises_on_error(mock_genai, config):
+    mock_genai.side_effect = RuntimeError("Embedding failed")
+
+    embedder = GoogleGenAIEmbedding(config)
+
+    with pytest.raises(RuntimeError, match="Embedding failed"):
+        embedder.embed("some input")
+
+def test_config_initialization(config):
+    embedder = GoogleGenAIEmbedding(config)
+
+    assert embedder.config.api_key == "dummy_api_key"
+    assert embedder.config.model == "test_model"
+    assert embedder.config.embedding_dims == 786
+

tests/llms/test_gemini.py

@@ -1,8 +1,7 @@
 from unittest.mock import Mock, patch
 
 import pytest
-from google.generativeai import GenerationConfig
-from google.generativeai.types import content_types
+from google.genai import types
 
 from mem0.configs.llms.base import BaseLlmConfig
 from mem0.llms.gemini import GeminiLLM
@@ -10,14 +9,14 @@ from mem0.llms.gemini import GeminiLLM
 
 @pytest.fixture
 def mock_gemini_client():
-    with patch("mem0.llms.gemini.GenerativeModel") as mock_gemini:
+    with patch("mem0.llms.gemini.genai") as mock_client_class:
         mock_client = Mock()
-        mock_gemini.return_value = mock_client
+        mock_client_class.return_value = mock_client
         yield mock_client
 
 
 def test_generate_response_without_tools(mock_gemini_client: Mock):
-    config = BaseLlmConfig(model="gemini-1.5-flash-latest", temperature=0.7, max_tokens=100, top_p=1.0)
+    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."},
@@ -25,6 +24,15 @@ def test_generate_response_without_tools(mock_gemini_client: Mock):
     ]
 
     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])
@@ -37,15 +45,24 @@ def test_generate_response_without_tools(mock_gemini_client: Mock):
             {"parts": "THIS IS A SYSTEM PROMPT. YOU MUST OBEY THIS: You are a helpful assistant.", "role": "user"},
             {"parts": "Hello, how are you?", "role": "user"},
         ],
-        generation_config=GenerationConfig(temperature=0.7, max_output_tokens=100, top_p=1.0),
-        tools=None,
-        tool_config=content_types.to_tool_config(
-            {"function_calling_config": {"mode": "auto", "allowed_function_names": None}}
-        ),
-    )
+        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)
@@ -89,28 +106,46 @@ def test_generate_response_with_tools(mock_gemini_client: Mock):
 
     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"},
-        ],
-        generation_config=GenerationConfig(temperature=0.7, max_output_tokens=100, top_p=1.0),
-        tools=[
             {
-                "function_declarations": [
-                    {
-                        "name": "add_memory",
-                        "description": "Add a memory",
-                        "parameters": {
-                            "type": "object",
-                            "properties": {"data": {"type": "string", "description": "Data to add to memory"}},
-                            "required": ["data"],
-                        },
-                    }
-                ]
-            }
+                "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"
+            },
         ],
-        tool_config=content_types.to_tool_config(
-            {"function_calling_config": {"mode": "auto", "allowed_function_names": None}}
-        ),
+        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."