Spaces:
Running
Running
File size: 989 Bytes
b09d5e9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
from fastapi import APIRouter, HTTPException
from pydantic import BaseModel
from typing import List, Literal
router = APIRouter()
from rag import get_smart_rag_response
# Pydantic models for request/response validation
class Message(BaseModel):
role: Literal["user", "assistant"]
content: str
class QueryRequest(BaseModel):
query: str
conversation_history: List[Message] = []
class QueryResponse(BaseModel):
query: str
response: str
source: str
@router.post("/query/")
async def query_rag_system(request: QueryRequest):
try:
# Convert Pydantic models to dicts for processing
history = [msg.dict() for msg in request.conversation_history]
response, source = await get_smart_rag_response(request.query, history)
return QueryResponse(
query=request.query,
response=response,
source=source
)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
|