litellm-mirror/tests/llm_translation/test_azure_openai.py
Ishaan Jaff 38bfefa6ef
(Feat) - LiteLLM Use UsernamePasswordCredential for Azure OpenAI (#7496)
* add get_azure_ad_token_from_username_password

* docs azure use username / password for auth

* update doc

* get_azure_ad_token_from_username_password

* test test_get_azure_ad_token_from_username_password
2025-01-01 14:11:27 -08:00

250 lines
8.2 KiB
Python

import sys
import os
sys.path.insert(
0, os.path.abspath("../../")
) # Adds the parent directory to the system path
import pytest
from litellm.llms.azure.common_utils import process_azure_headers
from httpx import Headers
from base_embedding_unit_tests import BaseLLMEmbeddingTest
def test_process_azure_headers_empty():
result = process_azure_headers({})
assert result == {}, "Expected empty dictionary for no input"
def test_process_azure_headers_with_all_headers():
input_headers = Headers(
{
"x-ratelimit-limit-requests": "100",
"x-ratelimit-remaining-requests": "90",
"x-ratelimit-limit-tokens": "10000",
"x-ratelimit-remaining-tokens": "9000",
"other-header": "value",
}
)
expected_output = {
"x-ratelimit-limit-requests": "100",
"x-ratelimit-remaining-requests": "90",
"x-ratelimit-limit-tokens": "10000",
"x-ratelimit-remaining-tokens": "9000",
"llm_provider-x-ratelimit-limit-requests": "100",
"llm_provider-x-ratelimit-remaining-requests": "90",
"llm_provider-x-ratelimit-limit-tokens": "10000",
"llm_provider-x-ratelimit-remaining-tokens": "9000",
"llm_provider-other-header": "value",
}
result = process_azure_headers(input_headers)
assert result == expected_output, "Unexpected output for all Azure headers"
def test_process_azure_headers_with_partial_headers():
input_headers = Headers(
{
"x-ratelimit-limit-requests": "100",
"x-ratelimit-remaining-tokens": "9000",
"other-header": "value",
}
)
expected_output = {
"x-ratelimit-limit-requests": "100",
"x-ratelimit-remaining-tokens": "9000",
"llm_provider-x-ratelimit-limit-requests": "100",
"llm_provider-x-ratelimit-remaining-tokens": "9000",
"llm_provider-other-header": "value",
}
result = process_azure_headers(input_headers)
assert result == expected_output, "Unexpected output for partial Azure headers"
def test_process_azure_headers_with_no_matching_headers():
input_headers = Headers(
{"unrelated-header-1": "value1", "unrelated-header-2": "value2"}
)
expected_output = {
"llm_provider-unrelated-header-1": "value1",
"llm_provider-unrelated-header-2": "value2",
}
result = process_azure_headers(input_headers)
assert result == expected_output, "Unexpected output for non-matching headers"
def test_process_azure_headers_with_dict_input():
input_headers = {
"x-ratelimit-limit-requests": "100",
"x-ratelimit-remaining-requests": "90",
"other-header": "value",
}
expected_output = {
"x-ratelimit-limit-requests": "100",
"x-ratelimit-remaining-requests": "90",
"llm_provider-x-ratelimit-limit-requests": "100",
"llm_provider-x-ratelimit-remaining-requests": "90",
"llm_provider-other-header": "value",
}
result = process_azure_headers(input_headers)
assert result == expected_output, "Unexpected output for dict input"
from httpx import Client
from unittest.mock import MagicMock, patch
from openai import AzureOpenAI
import litellm
from litellm import completion
import os
@pytest.mark.parametrize(
"input, call_type",
[
({"messages": [{"role": "user", "content": "Hello world"}]}, "completion"),
({"input": "Hello world"}, "embedding"),
({"prompt": "Hello world"}, "image_generation"),
],
)
@pytest.mark.parametrize(
"header_value",
[
"headers",
"extra_headers",
],
)
def test_azure_extra_headers(input, call_type, header_value):
from litellm import embedding, image_generation
http_client = Client()
messages = [{"role": "user", "content": "Hello world"}]
with patch.object(http_client, "send", new=MagicMock()) as mock_client:
litellm.client_session = http_client
try:
if call_type == "completion":
func = completion
elif call_type == "embedding":
func = embedding
elif call_type == "image_generation":
func = image_generation
data = {
"model": "azure/chatgpt-v-2",
"api_base": "https://openai-gpt-4-test-v-1.openai.azure.com",
"api_version": "2023-07-01-preview",
"api_key": "my-azure-api-key",
header_value: {
"Authorization": "my-bad-key",
"Ocp-Apim-Subscription-Key": "hello-world-testing",
},
**input,
}
response = func(**data)
print(response)
except Exception as e:
print(e)
mock_client.assert_called()
print(f"mock_client.call_args: {mock_client.call_args}")
request = mock_client.call_args[0][0]
print(request.method) # This will print 'POST'
print(request.url) # This will print the full URL
print(request.headers) # This will print the full URL
auth_header = request.headers.get("Authorization")
apim_key = request.headers.get("Ocp-Apim-Subscription-Key")
print(auth_header)
assert auth_header == "my-bad-key"
assert apim_key == "hello-world-testing"
@pytest.mark.parametrize(
"api_base, model, expected_endpoint",
[
(
"https://my-endpoint-sweden-berri992.openai.azure.com",
"dall-e-3-test",
"https://my-endpoint-sweden-berri992.openai.azure.com/openai/deployments/dall-e-3-test/images/generations?api-version=2023-12-01-preview",
),
(
"https://my-endpoint-sweden-berri992.openai.azure.com/openai/deployments/my-custom-deployment",
"dall-e-3",
"https://my-endpoint-sweden-berri992.openai.azure.com/openai/deployments/my-custom-deployment/images/generations?api-version=2023-12-01-preview",
),
],
)
def test_process_azure_endpoint_url(api_base, model, expected_endpoint):
from litellm.llms.azure.azure import AzureChatCompletion
azure_chat_completion = AzureChatCompletion()
input_args = {
"azure_client_params": {
"api_version": "2023-12-01-preview",
"azure_endpoint": api_base,
"azure_deployment": model,
"max_retries": 2,
"timeout": 600,
"api_key": "f28ab7b695af4154bc53498e5bdccb07",
},
"model": model,
}
result = azure_chat_completion.create_azure_base_url(**input_args)
assert result == expected_endpoint, "Unexpected endpoint"
class TestAzureEmbedding(BaseLLMEmbeddingTest):
def get_base_embedding_call_args(self) -> dict:
return {
"model": "azure/azure-embedding-model",
"api_key": os.getenv("AZURE_API_KEY"),
"api_base": os.getenv("AZURE_API_BASE"),
}
def get_custom_llm_provider(self) -> litellm.LlmProviders:
return litellm.LlmProviders.AZURE
@patch("azure.identity.UsernamePasswordCredential")
@patch("azure.identity.get_bearer_token_provider")
def test_get_azure_ad_token_from_username_password(
mock_get_bearer_token_provider, mock_credential
):
from litellm.llms.azure.common_utils import (
get_azure_ad_token_from_username_password,
)
# Test inputs
client_id = "test-client-id"
username = "test-username"
password = "test-password"
# Mock the token provider function
mock_token_provider = lambda: "mock-token"
mock_get_bearer_token_provider.return_value = mock_token_provider
# Call the function
result = get_azure_ad_token_from_username_password(
client_id=client_id, azure_username=username, azure_password=password
)
# Verify UsernamePasswordCredential was called with correct arguments
mock_credential.assert_called_once_with(
client_id=client_id, username=username, password=password
)
# Verify get_bearer_token_provider was called
mock_get_bearer_token_provider.assert_called_once_with(
mock_credential.return_value, "https://cognitiveservices.azure.com/.default"
)
# Verify the result is the mock token provider
assert result == mock_token_provider