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Code QA - Add Azure OpenAI to base llm testing #7405

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Code QA - Add Azure OpenAI to base llm testing #7405

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58aaf71
add azure oai to base llm testing
ishaan-jaff Dec 25, 2024
3c2fcac
run llm translation again
ishaan-jaff Dec 25, 2024
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25 changes: 20 additions & 5 deletions tests/llm_translation/base_llm_unit_tests.py
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Original file line number Diff line number Diff line change
Expand Up @@ -121,8 +121,11 @@ def test_pdf_handling(self, pdf_messages, image_url):
image_messages = [{"role": "user", "content": image_content}]

base_completion_call_args = self.get_base_completion_call_args()

if not supports_pdf_input(base_completion_call_args["model"], None):
_model = (
base_completion_call_args.get("base_model")
or base_completion_call_args["model"]
)
if not supports_pdf_input(_model, None):
pytest.skip("Model does not support image input")

response = self.completion_function(
Expand Down Expand Up @@ -193,7 +196,11 @@ class TestModel(BaseModel):
first_response: str

base_completion_call_args = self.get_base_completion_call_args()
if not supports_response_schema(base_completion_call_args["model"], None):
_model = (
base_completion_call_args.get("base_model")
or base_completion_call_args["model"]
)
if not supports_response_schema(_model, None):
pytest.skip("Model does not support response schema")

try:
Expand Down Expand Up @@ -292,7 +299,11 @@ def test_image_url(self, detail):
litellm.model_cost = litellm.get_model_cost_map(url="")

base_completion_call_args = self.get_base_completion_call_args()
if not supports_vision(base_completion_call_args["model"], None):
_model = (
base_completion_call_args.get("base_model")
or base_completion_call_args["model"]
)
if not supports_vision(_model, None):
pytest.skip("Model does not support image input")

messages = [
Expand Down Expand Up @@ -340,7 +351,11 @@ def test_prompt_caching(self):
litellm.model_cost = litellm.get_model_cost_map(url="")

base_completion_call_args = self.get_base_completion_call_args()
if not supports_prompt_caching(base_completion_call_args["model"], None):
_model = (
base_completion_call_args.get("base_model")
or base_completion_call_args["model"]
)
if not supports_prompt_caching(_model, None):
print("Model does not support prompt caching")
pytest.skip("Model does not support prompt caching")

Expand Down
30 changes: 29 additions & 1 deletion tests/llm_translation/test_azure_openai.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,12 +3,13 @@

sys.path.insert(
0, os.path.abspath("../../")
) # Adds the parent directory to the system path
) # 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
from base_llm_unit_tests import BaseLLMChatTest


def test_process_azure_headers_empty():
Expand Down Expand Up @@ -211,3 +212,30 @@ def get_base_embedding_call_args(self) -> dict:

def get_custom_llm_provider(self) -> litellm.LlmProviders:
return litellm.LlmProviders.AZURE


class TestAzureChat(BaseLLMChatTest):
def get_base_completion_call_args(self) -> dict:
return {
"model": "azure/gpt-4o-mini-json-mode",
"api_key": os.getenv("AZURE_JSON_MODE_API_KEY"),
"api_base": os.getenv("AZURE_JSON_MODE_API_BASE"),
"api_version": "2024-10-01-preview",
"base_model": "gpt-4o-mini",
}

def test_tool_call_no_arguments(self, tool_call_no_arguments):
"""Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
pass

def test_prompt_caching(self):
"""
We have no way to test prompt caching for Azure OpenAI.
"At this time, only the o1 model family supports the cached_tokens API response parameter." - Azure OpenAI
Ref: https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/prompt-caching


We need the `cached_tokens` in the response to test prompt caching.

"""
pass
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