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fix(whisper---handle-openai/azure-vtt-response-format): Fixes https://github.com/BerriAI/litellm/issues/4595

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This commit is contained in:
Krrish Dholakia 2024-07-08 09:05:29 -07:00
parent 53cbfa7a7a
commit d68ab2a8bc
10 changed files with 252 additions and 84 deletions
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34
litellm/main.py
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@ -61,6 +61,7 @@ from litellm.utils import (
get_llm_provider,
get_optional_params_embeddings,
get_optional_params_image_gen,
get_optional_params_transcription,
get_secret,
mock_completion_streaming_obj,
read_config_args,
@ -4279,7 +4280,7 @@ def image_generation(
@client
async def atranscription(*args, **kwargs):
async def atranscription(*args, **kwargs) -> TranscriptionResponse:
"""
Calls openai + azure whisper endpoints.
@ -4304,9 +4305,9 @@ async def atranscription(*args, **kwargs):
# Await normally
init_response = await loop.run_in_executor(None, func_with_context)
if isinstance(init_response, dict) or isinstance(
init_response, TranscriptionResponse
): ## CACHING SCENARIO
if isinstance(init_response, dict):
response = TranscriptionResponse(**init_response)
elif isinstance(init_response, TranscriptionResponse): ## CACHING SCENARIO
response = init_response
elif asyncio.iscoroutine(init_response):
response = await init_response
@ -4346,7 +4347,7 @@ def transcription(
litellm_logging_obj: Optional[LiteLLMLoggingObj] = None,
custom_llm_provider=None,
**kwargs,
):
) -> TranscriptionResponse:
"""
Calls openai + azure whisper endpoints.
@ -4358,6 +4359,7 @@ def transcription(
proxy_server_request = kwargs.get("proxy_server_request", None)
model_info = kwargs.get("model_info", None)
metadata = kwargs.get("metadata", {})
drop_params = kwargs.get("drop_params", None)
client: Optional[
Union[
openai.AsyncOpenAI,
@ -4379,12 +4381,22 @@ def transcription(
if dynamic_api_key is not None:
api_key = dynamic_api_key
optional_params = {
"language": language,
"prompt": prompt,
"response_format": response_format,
"temperature": None, # openai defaults this to 0
}
optional_params = get_optional_params_transcription(
model=model,
language=language,
prompt=prompt,
response_format=response_format,
temperature=temperature,
custom_llm_provider=custom_llm_provider,
drop_params=drop_params,
)
# optional_params = {
# "language": language,
# "prompt": prompt,
# "response_format": response_format,
# "temperature": None, # openai defaults this to 0
# }
if custom_llm_provider == "azure":
# azure configs