132 lines
4.3 KiB
Python
132 lines
4.3 KiB
Python
from unittest.mock import Mock, patch
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import httpx
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import pytest
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from mem0.configs.llms.base import BaseLlmConfig
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from mem0.llms.azure_openai import AzureOpenAILLM
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MODEL = "gpt-4o" # or your custom deployment name
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TEMPERATURE = 0.7
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MAX_TOKENS = 100
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TOP_P = 1.0
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@pytest.fixture
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def mock_openai_client():
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with patch("mem0.llms.azure_openai.AzureOpenAI") as mock_openai:
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mock_client = Mock()
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mock_openai.return_value = mock_client
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yield mock_client
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def test_generate_response_without_tools(mock_openai_client):
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config = BaseLlmConfig(model=MODEL, temperature=TEMPERATURE, max_tokens=MAX_TOKENS, top_p=TOP_P)
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llm = AzureOpenAILLM(config)
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messages = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "Hello, how are you?"},
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]
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mock_response = Mock()
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mock_response.choices = [Mock(message=Mock(content="I'm doing well, thank you for asking!"))]
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mock_openai_client.chat.completions.create.return_value = mock_response
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response = llm.generate_response(messages)
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mock_openai_client.chat.completions.create.assert_called_once_with(
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model=MODEL, messages=messages, temperature=TEMPERATURE, max_tokens=MAX_TOKENS, top_p=TOP_P
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)
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assert response == "I'm doing well, thank you for asking!"
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def test_generate_response_with_tools(mock_openai_client):
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config = BaseLlmConfig(model=MODEL, temperature=TEMPERATURE, max_tokens=MAX_TOKENS, top_p=TOP_P)
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llm = AzureOpenAILLM(config)
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messages = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "Add a new memory: Today is a sunny day."},
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]
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tools = [
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{
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"type": "function",
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"function": {
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"name": "add_memory",
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"description": "Add a memory",
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"parameters": {
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"type": "object",
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"properties": {"data": {"type": "string", "description": "Data to add to memory"}},
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"required": ["data"],
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},
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},
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}
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]
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mock_response = Mock()
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mock_message = Mock()
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mock_message.content = "I've added the memory for you."
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mock_tool_call = Mock()
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mock_tool_call.function.name = "add_memory"
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mock_tool_call.function.arguments = '{"data": "Today is a sunny day."}'
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mock_message.tool_calls = [mock_tool_call]
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mock_response.choices = [Mock(message=mock_message)]
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mock_openai_client.chat.completions.create.return_value = mock_response
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response = llm.generate_response(messages, tools=tools)
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mock_openai_client.chat.completions.create.assert_called_once_with(
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model=MODEL,
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messages=messages,
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temperature=TEMPERATURE,
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max_tokens=MAX_TOKENS,
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top_p=TOP_P,
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tools=tools,
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tool_choice="auto",
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)
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assert response["content"] == "I've added the memory for you."
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assert len(response["tool_calls"]) == 1
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assert response["tool_calls"][0]["name"] == "add_memory"
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assert response["tool_calls"][0]["arguments"] == {"data": "Today is a sunny day."}
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@pytest.mark.parametrize(
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"default_headers",
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[None, {"Firstkey": "FirstVal", "SecondKey": "SecondVal"}],
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)
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def test_generate_with_http_proxies(default_headers):
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mock_http_client = Mock()
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mock_http_client_instance = Mock()
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mock_http_client.return_value = mock_http_client_instance
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azure_kwargs = {"api_key": "test"}
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if default_headers:
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azure_kwargs["default_headers"] = default_headers
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with (
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patch("mem0.llms.azure_openai.AzureOpenAI") as mock_azure_openai,
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patch("httpx.Client", new=mock_http_client),
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):
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config = BaseLlmConfig(
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model=MODEL,
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temperature=TEMPERATURE,
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max_tokens=MAX_TOKENS,
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top_p=TOP_P,
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api_key="test",
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http_client_proxies="http://testproxy.mem0.net:8000",
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azure_kwargs=azure_kwargs,
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)
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_ = AzureOpenAILLM(config)
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mock_azure_openai.assert_called_once_with(
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api_key="test",
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http_client=mock_http_client_instance,
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azure_deployment=None,
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azure_endpoint=None,
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api_version=None,
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default_headers=default_headers,
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)
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mock_http_client.assert_called_once_with(proxies="http://testproxy.mem0.net:8000")
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