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74 lines
2.1 KiB
Python
74 lines
2.1 KiB
Python
from application.llm.base import BaseLLM
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from application.core.settings import settings
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class OpenAILLM(BaseLLM):
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def __init__(self, api_key=None, user_api_key=None, *args, **kwargs):
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from openai import OpenAI
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super().__init__(*args, **kwargs)
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if settings.OPENAI_BASE_URL:
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self.client = OpenAI(
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api_key=api_key,
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base_url=settings.OPENAI_BASE_URL
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)
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else:
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self.client = OpenAI(api_key=api_key)
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self.api_key = api_key
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self.user_api_key = user_api_key
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def _raw_gen(
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self,
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baseself,
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model,
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messages,
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stream=False,
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engine=settings.AZURE_DEPLOYMENT_NAME,
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**kwargs
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):
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response = self.client.chat.completions.create(
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model=model, messages=messages, stream=stream, **kwargs
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)
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return response.choices[0].message.content
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def _raw_gen_stream(
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self,
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baseself,
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model,
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messages,
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stream=True,
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engine=settings.AZURE_DEPLOYMENT_NAME,
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**kwargs
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):
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response = self.client.chat.completions.create(
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model=model, messages=messages, stream=stream, **kwargs
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)
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for line in response:
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# import sys
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# print(line.choices[0].delta.content, file=sys.stderr)
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if line.choices[0].delta.content is not None:
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yield line.choices[0].delta.content
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class AzureOpenAILLM(OpenAILLM):
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def __init__(
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self, openai_api_key, openai_api_base, openai_api_version, deployment_name
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):
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super().__init__(openai_api_key)
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self.api_base = (settings.OPENAI_API_BASE,)
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self.api_version = (settings.OPENAI_API_VERSION,)
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self.deployment_name = (settings.AZURE_DEPLOYMENT_NAME,)
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from openai import AzureOpenAI
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self.client = AzureOpenAI(
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api_key=openai_api_key,
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api_version=settings.OPENAI_API_VERSION,
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api_base=settings.OPENAI_API_BASE,
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deployment_name=settings.AZURE_DEPLOYMENT_NAME,
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)
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