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"""
Handler file for calls to Azure OpenAI's o1/o3 family of models
Written separately to handle faking streaming for o1 and o3 models.
"""
from typing import Any, Callable, Optional, Union
import httpx
from litellm.types.utils import ModelResponse
from ...openai.openai import OpenAIChatCompletion
from ..common_utils import BaseAzureLLM
class AzureOpenAIO1ChatCompletion(BaseAzureLLM, OpenAIChatCompletion):
def completion(
self,
model_response: ModelResponse,
timeout: Union[float, httpx.Timeout],
optional_params: dict,
litellm_params: dict,
logging_obj: Any,
model: Optional[str] = None,
messages: Optional[list] = None,
print_verbose: Optional[Callable] = None,
api_key: Optional[str] = None,
api_base: Optional[str] = None,
api_version: Optional[str] = None,
dynamic_params: Optional[bool] = None,
azure_ad_token: Optional[str] = None,
acompletion: bool = False,
logger_fn=None,
headers: Optional[dict] = None,
custom_prompt_dict: dict = {},
client=None,
organization: Optional[str] = None,
custom_llm_provider: Optional[str] = None,
drop_params: Optional[bool] = None,
):
client = self.get_azure_openai_client(
litellm_params=litellm_params,
api_key=api_key,
api_base=api_base,
api_version=api_version,
client=client,
_is_async=acompletion,
)
return super().completion(
model_response=model_response,
timeout=timeout,
optional_params=optional_params,
litellm_params=litellm_params,
logging_obj=logging_obj,
model=model,
messages=messages,
print_verbose=print_verbose,
api_key=api_key,
api_base=api_base,
api_version=api_version,
dynamic_params=dynamic_params,
azure_ad_token=azure_ad_token,
acompletion=acompletion,
logger_fn=logger_fn,
headers=headers,
custom_prompt_dict=custom_prompt_dict,
client=client,
organization=organization,
custom_llm_provider=custom_llm_provider,
drop_params=drop_params,
)
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