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#1	from unittest.mock import Mock, patch
#2
#3	import pytest
#4
#5	from mem0.configs.llms.azure import AzureOpenAIConfig
#6	from mem0.llms.azure_openai import AzureOpenAILLM
#7
#8	MODEL = "gpt-4.1-nano-2025-04-14" # or your custom deployment name
#9	TEMPERATURE = 0.7
#10	MAX_TOKENS = 100
#11	TOP_P = 1.0
#12
#13
#14	@pytest.fixture
#15	def mock_openai_client():
#16	with patch("mem0.llms.azure_openai.AzureOpenAI") as mock_openai:
#17	mock_client = Mock()
#18	mock_openai.return_value = mock_client
#19	yield mock_client
#20
#21
#22	def test_generate_response_without_tools(mock_openai_client):
#23	config = AzureOpenAIConfig(model=MODEL, temperature=TEMPERATURE, max_tokens=MAX_TOKENS, top_p=TOP_P)
#24	llm = AzureOpenAILLM(config)
#25	messages = [
#26	{"role": "system", "content": "You are a helpful assistant."},
#27	{"role": "user", "content": "Hello, how are you?"},
#28	]
#29
#30	mock_response = Mock()
#31	mock_response.choices = [Mock(message=Mock(content="I'm doing well, thank you for asking!"))]
#32	mock_openai_client.chat.completions.create.return_value = mock_response
#33
#34	response = llm.generate_response(messages)
#35
#36	mock_openai_client.chat.completions.create.assert_called_once_with(
#37	model=MODEL, messages=messages, temperature=TEMPERATURE, max_tokens=MAX_TOKENS, top_p=TOP_P
#38	)
#39	assert response == "I'm doing well, thank you for asking!"
#40
#41
#42	def test_generate_response_with_tools(mock_openai_client):
#43	config = AzureOpenAIConfig(model=MODEL, temperature=TEMPERATURE, max_tokens=MAX_TOKENS, top_p=TOP_P)
#44	llm = AzureOpenAILLM(config)
#45	messages = [
#46	{"role": "system", "content": "You are a helpful assistant."},
#47	{"role": "user", "content": "Add a new memory: Today is a sunny day."},
#48	]
#49	tools = [
#50	{
#51	"type": "function",
#52	"function": {
#53	"name": "add_memory",
#54	"description": "Add a memory",
#55	"parameters": {
#56	"type": "object",
#57	"properties": {"data": {"type": "string", "description": "Data to add to memory"}},
#58	"required": ["data"],
#59	},
#60	},
#61	}
#62	]
#63
#64	mock_response = Mock()
#65	mock_message = Mock()
#66	mock_message.content = "I've added the memory for you."
#67
#68	mock_tool_call = Mock()
#69	mock_tool_call.function.name = "add_memory"
#70	mock_tool_call.function.arguments = '{"data": "Today is a sunny day."}'
#71
#72	mock_message.tool_calls = [mock_tool_call]
#73	mock_response.choices = [Mock(message=mock_message)]
#74	mock_openai_client.chat.completions.create.return_value = mock_response
#75
#76	response = llm.generate_response(messages, tools=tools)
#77
#78	mock_openai_client.chat.completions.create.assert_called_once_with(
#79	model=MODEL,
#80	messages=messages,
#81	temperature=TEMPERATURE,
#82	max_tokens=MAX_TOKENS,
#83	top_p=TOP_P,
#84	tools=tools,
#85	tool_choice="auto",
#86	)
#87
#88	assert response["content"] == "I've added the memory for you."
#89	assert len(response["tool_calls"]) == 1
#90	assert response["tool_calls"][0]["name"] == "add_memory"
#91	assert response["tool_calls"][0]["arguments"] == {"data": "Today is a sunny day."}
#92
#93
#94	@pytest.mark.parametrize(
#95	"default_headers",
#96	[None, {"Firstkey": "FirstVal", "SecondKey": "SecondVal"}],
#97	)
#98	def test_generate_with_http_proxies(default_headers):
#99	mock_http_client = Mock()
#100	mock_http_client_instance = Mock()
#101	mock_http_client.return_value = mock_http_client_instance
#102	azure_kwargs = {"api_key": "test"}
#103	if default_headers:
#104	azure_kwargs["default_headers"] = default_headers
#105
#106	with (
#107	patch("mem0.llms.azure_openai.AzureOpenAI") as mock_azure_openai,
#108	patch("httpx.Client", new=mock_http_client),
#109	):
#110	config = AzureOpenAIConfig(
#111	model=MODEL,
#112	temperature=TEMPERATURE,
#113	max_tokens=MAX_TOKENS,
#114	top_p=TOP_P,
#115	api_key="test",
#116	http_client_proxies="http://testproxy.mem0.net:8000",
#117	azure_kwargs=azure_kwargs,
#118	)
#119
#120	_ = AzureOpenAILLM(config)
#121
#122	mock_azure_openai.assert_called_once_with(
#123	api_key="test",
#124	http_client=mock_http_client_instance,
#125	azure_deployment=None,
#126	azure_endpoint=None,
#127	azure_ad_token_provider=None,
#128	api_version=None,
#129	default_headers=default_headers,
#130	)
#131	mock_http_client.assert_called_once_with(proxies="http://testproxy.mem0.net:8000")
#132
#133
#134	def test_init_with_api_key(monkeypatch):
#135	# Patch environment variables to None to force config usage
#136	monkeypatch.delenv("LLM_AZURE_OPENAI_API_KEY", raising=False)
#137	monkeypatch.delenv("LLM_AZURE_DEPLOYMENT", raising=False)
#138	monkeypatch.delenv("LLM_AZURE_ENDPOINT", raising=False)
#139	monkeypatch.delenv("LLM_AZURE_API_VERSION", raising=False)
#140
#141	config = AzureOpenAIConfig(
#142	model=MODEL,
#143	temperature=TEMPERATURE,
#144	max_tokens=MAX_TOKENS,
#145	top_p=TOP_P,
#146	)
#147	# Set Azure kwargs directly
#148	config.azure_kwargs.api_key = "test-key"
#149	config.azure_kwargs.azure_deployment = "test-deployment"
#150	config.azure_kwargs.azure_endpoint = "https://test-endpoint"
#151	config.azure_kwargs.api_version = "2024-01-01"
#152	config.azure_kwargs.default_headers = {"x-test": "header"}
#153	config.http_client = None
#154
#155	with patch("mem0.llms.azure_openai.AzureOpenAI") as mock_azure_openai:
#156	llm = AzureOpenAILLM(config)
#157	mock_azure_openai.assert_called_once_with(
#158	azure_deployment="test-deployment",
#159	azure_endpoint="https://test-endpoint",
#160	azure_ad_token_provider=None,
#161	api_version="2024-01-01",
#162	api_key="test-key",
#163	http_client=None,
#164	default_headers={"x-test": "header"},
#165	)
#166	assert llm.config.model == MODEL
#167
#168
#169	def test_init_with_env_vars(monkeypatch):
#170	monkeypatch.setenv("LLM_AZURE_OPENAI_API_KEY", "env-key")
#171	monkeypatch.setenv("LLM_AZURE_DEPLOYMENT", "env-deployment")
#172	monkeypatch.setenv("LLM_AZURE_ENDPOINT", "https://env-endpoint")
#173	monkeypatch.setenv("LLM_AZURE_API_VERSION", "2024-02-02")
#174
#175	config = AzureOpenAIConfig(model=None)
#176	config.azure_kwargs.api_key = None
#177	config.azure_kwargs.azure_deployment = None
#178	config.azure_kwargs.azure_endpoint = None
#179	config.azure_kwargs.api_version = None
#180	config.azure_kwargs.default_headers = None
#181	config.http_client = None
#182
#183	with patch("mem0.llms.azure_openai.AzureOpenAI") as mock_azure_openai:
#184	llm = AzureOpenAILLM(config)
#185	mock_azure_openai.assert_called_once_with(
#186	azure_deployment="env-deployment",
#187	azure_endpoint="https://env-endpoint",
#188	azure_ad_token_provider=None,
#189	api_version="2024-02-02",
#190	api_key="env-key",
#191	http_client=None,
#192	default_headers=None,
#193	)
#194	# Should default to "gpt-4.1-nano-2025-04-14" if model is None
#195	assert llm.config.model == "gpt-4.1-nano-2025-04-14"
#196
#197
#198	def test_init_with_default_azure_credential(monkeypatch):
#199	# No API key in config or env, triggers DefaultAzureCredential
#200	monkeypatch.delenv("LLM_AZURE_OPENAI_API_KEY", raising=False)
#201	config = AzureOpenAIConfig(model=MODEL)
#202	config.azure_kwargs.api_key = None
#203	config.azure_kwargs.azure_deployment = "dep"
#204	config.azure_kwargs.azure_endpoint = "https://endpoint"
#205	config.azure_kwargs.api_version = "2024-03-03"
#206	config.azure_kwargs.default_headers = None
#207	config.http_client = None
#208
#209	with (
#210	patch("mem0.llms.azure_openai.DefaultAzureCredential") as mock_cred,
#211	patch("mem0.llms.azure_openai.get_bearer_token_provider") as mock_token_provider,
#212	patch("mem0.llms.azure_openai.AzureOpenAI") as mock_azure_openai,
#213	):
#214	mock_cred_instance = mock_cred.return_value
#215	mock_token_provider.return_value = "token-provider"
#216	AzureOpenAILLM(config)
#217	mock_cred.assert_called_once()
#218	mock_token_provider.assert_called_once_with(mock_cred_instance, "https://cognitiveservices.azure.com/.default")
#219	mock_azure_openai.assert_called_once_with(
#220	azure_deployment="dep",
#221	azure_endpoint="https://endpoint",
#222	azure_ad_token_provider="token-provider",
#223	api_version="2024-03-03",
#224	api_key=None,
#225	http_client=None,
#226	default_headers=None,
#227	)
#228
#229
#230	def test_init_with_placeholder_api_key(monkeypatch):
#231	# Placeholder API key should trigger DefaultAzureCredential
#232	config = AzureOpenAIConfig(model=MODEL)
#233	config.azure_kwargs.api_key = "your-api-key"
#234	config.azure_kwargs.azure_deployment = "dep"
#235	config.azure_kwargs.azure_endpoint = "https://endpoint"
#236	config.azure_kwargs.api_version = "2024-04-04"
#237	config.azure_kwargs.default_headers = None
#238	config.http_client = None
#239
#240	with (
#241	patch("mem0.llms.azure_openai.DefaultAzureCredential") as mock_cred,
#242	patch("mem0.llms.azure_openai.get_bearer_token_provider") as mock_token_provider,
#243	patch("mem0.llms.azure_openai.AzureOpenAI") as mock_azure_openai,
#244	):
#245	mock_cred_instance = mock_cred.return_value
#246	mock_token_provider.return_value = "token-provider"
#247	AzureOpenAILLM(config)
#248	mock_cred.assert_called_once()
#249	mock_token_provider.assert_called_once_with(mock_cred_instance, "https://cognitiveservices.azure.com/.default")
#250	mock_azure_openai.assert_called_once_with(
#251	azure_deployment="dep",
#252	azure_endpoint="https://endpoint",
#253	azure_ad_token_provider="token-provider",
#254	api_version="2024-04-04",
#255	api_key=None,
#256	http_client=None,
#257	default_headers=None,
#258	)
#259

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