litellm/tests/llm_translation/test_azure_ai.py
2024-11-30 00:45:26 -08:00

113 lines
3.3 KiB
Python

# What is this?
## Unit tests for Azure AI integration
import asyncio
import os
import sys
import traceback
from dotenv import load_dotenv
import litellm.types
import litellm.types.utils
from litellm.llms.anthropic.chat import ModelResponseIterator
import httpx
import json
from respx import MockRouter
load_dotenv()
import io
import os
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
from typing import Optional
from unittest.mock import MagicMock, patch
import pytest
import litellm
@pytest.mark.parametrize(
"model_group_header, expected_model",
[
("offer-cohere-embed-multili-paygo", "Cohere-embed-v3-multilingual"),
("offer-cohere-embed-english-paygo", "Cohere-embed-v3-english"),
],
)
def test_map_azure_model_group(model_group_header, expected_model):
from litellm.llms.azure_ai.embed.cohere_transformation import AzureAICohereConfig
config = AzureAICohereConfig()
assert config._map_azure_model_group(model_group_header) == expected_model
@pytest.mark.asyncio
async def test_azure_ai_with_image_url():
"""
Important test:
Test that Azure AI studio can handle image_url passed when content is a list containing both text and image_url
"""
from openai import AsyncOpenAI
litellm.set_verbose = True
client = AsyncOpenAI(
api_key="fake-api-key",
base_url="https://Phi-3-5-vision-instruct-dcvov.eastus2.models.ai.azure.com",
)
with patch.object(
client.chat.completions.with_raw_response, "create"
) as mock_client:
try:
await litellm.acompletion(
model="azure_ai/Phi-3-5-vision-instruct-dcvov",
api_base="https://Phi-3-5-vision-instruct-dcvov.eastus2.models.ai.azure.com",
messages=[
{
"role": "user",
"content": [
{
"type": "text",
"text": "What is in this image?",
},
{
"type": "image_url",
"image_url": {
"url": "https://litellm-listing.s3.amazonaws.com/litellm_logo.png"
},
},
],
},
],
api_key="fake-api-key",
client=client,
)
except Exception as e:
traceback.print_exc()
print(f"Error: {e}")
# Verify the request was made
mock_client.assert_called_once()
# Check the request body
request_body = mock_client.call_args.kwargs
assert request_body["model"] == "Phi-3-5-vision-instruct-dcvov"
assert request_body["messages"] == [
{
"role": "user",
"content": [
{"type": "text", "text": "What is in this image?"},
{
"type": "image_url",
"image_url": {
"url": "https://litellm-listing.s3.amazonaws.com/litellm_logo.png"
},
},
],
}
]