litellm/tests/llm_translation/test_azure_ai.py
Krish Dholakia 4b9c66ea59 LiteLLM Minor Fixes & Improvements (11/29/2024) (#6965)
* fix(factory.py): ensure tool call converts image url

Fixes https://github.com/BerriAI/litellm/issues/6953

* fix(transformation.py): support mp4 + pdf url's for vertex ai

Fixes https://github.com/BerriAI/litellm/issues/6936

* fix(http_handler.py): mask gemini api key in error logs

Fixes https://github.com/BerriAI/litellm/issues/6963

* docs(prometheus.md): update prometheus FAQs

* feat(auth_checks.py): ensure specific model access > wildcard model access

if wildcard model is in access group, but specific model is not - deny access

* fix(auth_checks.py): handle auth checks for team based model access groups

handles scenario where model access group used for wildcard models

* fix(internal_user_endpoints.py): support adding guardrails on `/user/update`

Fixes https://github.com/BerriAI/litellm/issues/6942

* fix(key_management_endpoints.py): fix prepare_metadata_fields helper

* fix: fix tests

* build(requirements.txt): bump openai dep version

fixes proxies argument

* test: fix tests

* fix(http_handler.py): fix error message masking

* fix(bedrock_guardrails.py): pass in prepped data

* test: fix test

* test: fix nvidia nim test

* fix(http_handler.py): return original response headers

* fix: revert maskedhttpstatuserror

* test: update tests

* test: cleanup test

* fix(key_management_endpoints.py): fix metadata field update logic

* fix(key_management_endpoints.py): maintain initial order of guardrails in key update

* fix(key_management_endpoints.py): handle prepare metadata

* fix: fix linting errors

* fix: fix linting errors

* fix: fix linting errors

* fix: fix key management errors

* fix(key_management_endpoints.py): update metadata

* test: update test

* refactor: add more debug statements

* test: skip flaky test

* test: fix test

* fix: fix test

* fix: fix update metadata logic

* fix: fix test

* ci(config.yml): change db url for e2e ui testing
2024-12-01 05:26:06 -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"
},
},
],
}
]