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Litellm dev 02 10 2025 p1 (#8438)

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* fix(azure/chat/gpt_transformation.py): fix str compare to use int - ensure correct api version check is done

Resolves https://github.com/BerriAI/litellm/issues/8241#issuecomment-2647142891

* test(test_azure_openai.py): add better testing
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Krish Dholakia 2025-02-10 16:25:04 -08:00 • committed by GitHub
parent 6a4013a075
commit 47f46f92c8
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3 changed files with 68 additions and 27 deletions
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9
litellm/llms/base_llm/chat/transformation.py
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@ -20,6 +20,7 @@ from pydantic import BaseModel
from litellm._logging import verbose_logger
from litellm.constants import RESPONSE_FORMAT_TOOL_NAME
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
from litellm.types.llms.openai import (
AllMessageValues,
ChatCompletionToolChoiceFunctionParam,
@ -27,9 +28,6 @@ from litellm.types.llms.openai import (
ChatCompletionToolParam,
ChatCompletionToolParamFunctionChunk,
)
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
from litellm.types.utils import ModelResponse
from litellm.utils import CustomStreamWrapper
@ -163,7 +161,7 @@ class BaseConfig(ABC):
self,
optional_params: dict,
value: dict,
should_convert_response_format_to_tool: bool,
is_response_format_supported: bool,
) -> dict:
"""
Follow similar approach to anthropic - translate to a single tool call.
@ -183,7 +181,8 @@ class BaseConfig(ABC):
elif "json_schema" in value:
json_schema = value["json_schema"]["schema"]
if json_schema and should_convert_response_format_to_tool:
if json_schema and not is_response_format_supported:
_tool_choice = ChatCompletionToolChoiceObjectParam(
type="function",
function=ChatCompletionToolChoiceFunctionParam(