mirror of
https://github.com/StanGirard/quivr.git
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59fe7b089b
* feat(chat): use openai function for answer (backend) * feat(chat): use openai function for answer (frontend) * chore: refacto BrainPicking * feat: update chat creation logic * feat: simplify chat system logic * feat: set default method to gpt-3.5-turbo-0613 * feat: use user own openai key * feat(chat): slightly improve prompts * feat: add global error interceptor * feat: remove unused endpoints * docs: update chat system doc * chore(linter): add unused import remove config * feat: improve dx * feat: improve OpenAiFunctionBasedAnswerGenerator prompt
24 lines
582 B
Python
24 lines
582 B
Python
from typing import List, Optional, Tuple
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from uuid import UUID
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from pydantic import BaseModel
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class ChatMessage(BaseModel):
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model: str = "gpt-3.5-turbo-16k"
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question: str
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# A list of tuples where each tuple is (speaker, text)
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history: List[Tuple[str, str]]
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temperature: float = 0.0
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max_tokens: int = 256
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use_summarization: bool = False
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chat_id: Optional[UUID] = None
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chat_name: Optional[str] = None
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class ChatQuestion(BaseModel):
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model: str = "gpt-3.5-turbo-0613"
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question: str
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temperature: float = 0.0
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max_tokens: int = 256
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