quivr/backend/modules/chat/dto/outputs.py
Stan Girard d0b8b797f6
feat(search): new way to interact with Quivr (#2026)
Co-authored-by: Zewed <dewez.antoine2@gmail.com>
Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
2024-01-19 20:34:30 -08:00

53 lines
1.2 KiB
Python

from typing import List, Optional
from uuid import UUID
from pydantic import BaseModel
class GetChatHistoryOutput(BaseModel):
chat_id: UUID
message_id: Optional[UUID] | str
user_message: str
assistant: str
message_time: Optional[str]
prompt_title: Optional[str] | None
brain_name: Optional[str] | None
brain_id: Optional[UUID] | None
metadata: Optional[dict] | None
def dict(self, *args, **kwargs):
chat_history = super().dict(*args, **kwargs)
chat_history["chat_id"] = str(chat_history.get("chat_id"))
chat_history["message_id"] = str(chat_history.get("message_id"))
return chat_history
class FunctionCall(BaseModel):
arguments: str
name: str
class ChatCompletionMessageToolCall(BaseModel):
id: str
function: FunctionCall
type: str = "function"
class CompletionMessage(BaseModel):
# = "assistant" | "user" | "system" | "tool"
role: str
content: str | None
tool_calls: Optional[List[ChatCompletionMessageToolCall]]
class CompletionResponse(BaseModel):
finish_reason: str
message: CompletionMessage
class BrainCompletionOutput(BaseModel):
messages: List[CompletionMessage]
question: str
response: CompletionResponse