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fix(azure.py): adding support for aiohttp calls on azure + openai

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This commit is contained in:
Krrish Dholakia 2023-11-09 10:40:26 -08:00
parent 2c67bda137
commit 86ef2a02f7
7 changed files with 93 additions and 30 deletions
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46
litellm/llms/openai.py
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@ -3,9 +3,8 @@ import types, requests
from .base import BaseLLM
from litellm.utils import ModelResponse, Choices, Message
from typing import Callable, Optional
import aiohttp
# This file just has the openai config classes.
# For implementation check out completion() in main.py
class OpenAIError(Exception):
def __init__(self, status_code, message):
@ -184,22 +183,24 @@ class OpenAIChatCompletion(BaseLLM):
OpenAIError(status_code=500, message="Invalid response object.")
def completion(self,
model: Optional[str]=None,
messages: Optional[list]=None,
model_response: Optional[ModelResponse]=None,
print_verbose: Optional[Callable]=None,
api_key: Optional[str]=None,
api_base: Optional[str]=None,
logging_obj=None,
optional_params=None,
litellm_params=None,
logger_fn=None,
headers: Optional[dict]=None):
model_response: ModelResponse,
model: Optional[str]=None,
messages: Optional[list]=None,
print_verbose: Optional[Callable]=None,
api_key: Optional[str]=None,
api_base: Optional[str]=None,
acompletion: bool = False,
logging_obj=None,
optional_params=None,
litellm_params=None,
logger_fn=None,
headers: Optional[dict]=None):
super().completion()
exception_mapping_worked = False
try:
if headers is None:
headers = self.validate_environment(api_key=api_key)
api_base = f"{api_base}/chat/completions"
if model is None or messages is None:
raise OpenAIError(status_code=422, message=f"Missing model or messages")
@ -214,13 +215,13 @@ class OpenAIChatCompletion(BaseLLM):
logging_obj.pre_call(
input=messages,
api_key=api_key,
additional_args={"headers": headers, "api_base": api_base},
additional_args={"headers": headers, "api_base": api_base, "acompletion": acompletion, "data": data},
)
try:
if "stream" in optional_params and optional_params["stream"] == True:
response = self._client_session.post(
url=f"{api_base}/chat/completions",
url=api_base,
json=data,
headers=headers,
stream=optional_params["stream"]
@ -230,9 +231,11 @@ class OpenAIChatCompletion(BaseLLM):
## RESPONSE OBJECT
return response.iter_lines()
elif acompletion is True:
return self.acompletion(api_base=api_base, data=data, headers=headers, model_response=model_response)
else:
response = self._client_session.post(
url=f"{api_base}/chat/completions",
url=api_base,
json=data,
headers=headers,
)
@ -270,6 +273,17 @@ class OpenAIChatCompletion(BaseLLM):
import traceback
raise OpenAIError(status_code=500, message=traceback.format_exc())
async def acompletion(self, api_base: str, data: dict, headers: dict, model_response: ModelResponse):
async with aiohttp.ClientSession() as session:
async with session.post(api_base, json=data, headers=headers) as response:
response_json = await response.json()
if response.status != 200:
raise OpenAIError(status_code=response.status, message=response.text)
## RESPONSE OBJECT
return self.convert_to_model_response_object(response_object=response_json, model_response_object=model_response)
def embedding(self,
model: str,
input: list,