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(fix) select_data_generator - sagemaker

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ishaan-jaff 2024-01-23 12:08:58 -08:00
parent 67dddc94d9
commit 00d18cbc86
1 changed files with 21 additions and 16 deletions
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37
litellm/proxy/proxy_server.py
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@ -1436,6 +1436,19 @@ async def async_data_generator(response, user_api_key_dict):
yield f"data: {str(e)}\n\n" yield f"data: {str(e)}\n\n"
def select_data_generator(response, user_api_key_dict):
# since boto3 - sagemaker does not support async calls
if response.custom_llm_provider == "sagemaker":
return data_generator(
response=response,
)
else:
# default to async_data_generator
return async_data_generator(
response=response, user_api_key_dict=user_api_key_dict
)
def get_litellm_model_info(model: dict = {}): def get_litellm_model_info(model: dict = {}):
model_info = model.get("model_info", {}) model_info = model.get("model_info", {})
model_to_lookup = model.get("litellm_params", {}).get("model", None) model_to_lookup = model.get("litellm_params", {}).get("model", None)
@ -1672,16 +1685,12 @@ async def completion(
"stream" in data and data["stream"] == True "stream" in data and data["stream"] == True
): # use generate_responses to stream responses ): # use generate_responses to stream responses
custom_headers = {"x-litellm-model-id": model_id} custom_headers = {"x-litellm-model-id": model_id}
stream_content = async_data_generator( selected_data_generator = select_data_generator(
user_api_key_dict=user_api_key_dict, response=response, user_api_key_dict=user_api_key_dict
response=response,
)
if response.custom_llm_provider == "sagemaker":
stream_content = data_generator(
response=response,
) )
return StreamingResponse( return StreamingResponse(
stream_content, selected_data_generator,
media_type="text/event-stream", media_type="text/event-stream",
headers=custom_headers, headers=custom_headers,
) )
@ -1839,16 +1848,12 @@ async def chat_completion(
"stream" in data and data["stream"] == True "stream" in data and data["stream"] == True
): # use generate_responses to stream responses ): # use generate_responses to stream responses
custom_headers = {"x-litellm-model-id": model_id} custom_headers = {"x-litellm-model-id": model_id}
stream_content = async_data_generator( selected_data_generator = select_data_generator(
user_api_key_dict=user_api_key_dict, response=response, user_api_key_dict=user_api_key_dict
response=response,
)
if response.custom_llm_provider == "sagemaker":
stream_content = data_generator(
response=response,
) )
return StreamingResponse( return StreamingResponse(
stream_content, selected_data_generator,
media_type="text/event-stream", media_type="text/event-stream",
headers=custom_headers, headers=custom_headers,
) )