106 lines
4.1 KiB
Python
106 lines
4.1 KiB
Python
from unittest.mock import Mock, patch
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import os
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import pytest
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from mem0.configs.llms.base import BaseLlmConfig
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from mem0.llms.openai import OpenAILLM
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@pytest.fixture
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def mock_openai_client():
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with patch("mem0.llms.openai.OpenAI") 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_openai_llm_base_url():
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# case1: default config: with openai official base url
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config = BaseLlmConfig(model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key")
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llm = OpenAILLM(config)
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# Note: openai client will parse the raw base_url into a URL object, which will have a trailing slash
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assert str(llm.client.base_url) == "https://api.openai.com/v1/"
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# case2: with env variable OPENAI_API_BASE
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provider_base_url = "https://api.provider.com/v1"
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os.environ["OPENAI_API_BASE"] = provider_base_url
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config = BaseLlmConfig(model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key")
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llm = OpenAILLM(config)
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# Note: openai client will parse the raw base_url into a URL object, which will have a trailing slash
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assert str(llm.client.base_url) == provider_base_url + "/"
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# case3: with config.openai_base_url
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config_base_url = "https://api.config.com/v1"
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config = BaseLlmConfig(
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model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key", openai_base_url=config_base_url
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)
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llm = OpenAILLM(config)
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# Note: openai client will parse the raw base_url into a URL object, which will have a trailing slash
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assert str(llm.client.base_url) == config_base_url + "/"
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def test_generate_response_without_tools(mock_openai_client):
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config = BaseLlmConfig(model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0)
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llm = OpenAILLM(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="gpt-4o", messages=messages, temperature=0.7, max_tokens=100, top_p=1.0
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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="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0)
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llm = OpenAILLM(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="gpt-4o", messages=messages, temperature=0.7, max_tokens=100, top_p=1.0, tools=tools, 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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