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61 lines
1.9 KiB
Python
61 lines
1.9 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):
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global openai
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from openai import OpenAI
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self.client = OpenAI(
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api_key=api_key,
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)
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self.api_key = api_key
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def _get_openai(self):
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# Import openai when needed
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import openai
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return openai
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def gen(self, model, messages, stream=False, engine=settings.AZURE_DEPLOYMENT_NAME, **kwargs):
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response = self.client.chat.completions.create(model=model,
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messages=messages,
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stream=stream,
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**kwargs)
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return response.choices[0].message.content
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def gen_stream(self, model, messages, stream=True, engine=settings.AZURE_DEPLOYMENT_NAME, **kwargs):
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response = self.client.chat.completions.create(model=model,
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messages=messages,
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stream=stream,
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**kwargs)
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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__(self, openai_api_key, openai_api_base, openai_api_version, deployment_name):
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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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def _get_openai(self):
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openai = super()._get_openai()
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return openai
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