Implemented Gemini (#1490) (#1965)

2024-10-21 16:23:26 +05:30
parent d4ffed9822
commit 078aa66b90
6 changed files with 309 additions and 1 deletions
--- a/tests/llms/test_gemini_llm.py
+++ b/tests/llms/test_gemini_llm.py
@@ -0,0 +1,118 @@
+from unittest.mock import Mock, patch
+
+import pytest
+from google.generativeai import GenerationConfig
+from google.generativeai.types import content_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.GenerativeModel") as mock_gemini:
+        mock_client = Mock()
+        mock_gemini.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)
+    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_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"}
+        ],
+        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}
+            })
+    )
+    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"}
+        ],
+        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"]
+                    }
+                }]
+            }
+        ],
+        tool_config = content_types.to_tool_config(
+            {"function_calling_config":
+                {"mode": 'auto', "allowed_function_names": None}
+            })
+    )
+
+    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."}