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39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
from application.llm.base import BaseLLM
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from application.core.settings import settings
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class PremAILLM(BaseLLM):
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def __init__(self, api_key=None, user_api_key=None, *args, **kwargs):
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from premai import Prem
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super().__init__(*args, **kwargs)
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self.client = Prem(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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self.project_id = settings.PREMAI_PROJECT_ID
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def _raw_gen(self, baseself, model, messages, stream=False, **kwargs):
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response = self.client.chat.completions.create(
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model=model,
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project_id=self.project_id,
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messages=messages,
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stream=stream,
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**kwargs
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)
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return response.choices[0].message["content"]
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def _raw_gen_stream(self, baseself, model, messages, stream=True, **kwargs):
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response = self.client.chat.completions.create(
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model=model,
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project_id=self.project_id,
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messages=messages,
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stream=stream,
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**kwargs
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)
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for line in response:
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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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