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from application.llm.base import BaseLLM
from application.core.settings import settings
class OpenAILLM(BaseLLM):
def __init__(self, api_key):
global openai
from openai import OpenAI
self.client = OpenAI(
api_key=api_key,
)
self.api_key = api_key
def _get_openai(self):
# Import openai when needed
import openai
return openai
def gen(self, model, engine, messages, stream=False, **kwargs):
response = self.client.chat.completions.create(model=model,
messages=messages,
stream=stream,
**kwargs)
return response.choices[0].message.content
def gen_stream(self, model, engine, messages, stream=True, **kwargs):
response = self.client.chat.completions.create(model=model,
messages=messages,
stream=stream,
**kwargs)
for line in response:
# import sys
# print(line.choices[0].delta.content, file=sys.stderr)
if line.choices[0].delta.content is not None:
yield line.choices[0].delta.content
class AzureOpenAILLM(OpenAILLM):
def __init__(self, openai_api_key, openai_api_base, openai_api_version, deployment_name):
super().__init__(openai_api_key)
self.api_base = settings.OPENAI_API_BASE,
self.api_version = settings.OPENAI_API_VERSION,
self.deployment_name = settings.AZURE_DEPLOYMENT_NAME,
from openai import AzureOpenAI
self.client = AzureOpenAI(
api_key=openai_api_key,
api_version=settings.OPENAI_API_VERSION,
api_base=settings.OPENAI_API_BASE,
deployment_name=settings.AZURE_DEPLOYMENT_NAME,
)
def _get_openai(self):
openai = super()._get_openai()
return openai
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