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b840b29 | 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 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Dict, Any, Optional
import uvicorn
from src.agents.legal_agent import LegalAgent
app = FastAPI(
title="Agentic Defensor",
description="An agentic RAG system for legal defense analysis",
version="0.1.0"
)
# Initialize the legal agent
legal_agent = LegalAgent()
class QueryRequest(BaseModel):
"""Request model for query endpoint."""
query: str
top_k: Optional[int] = None
class QueryResponse(BaseModel):
"""Response model for query endpoint."""
query: str
answer: str
model_used: str
num_chunks_retrieved: int
@app.get("/")
async def root():
"""Root endpoint."""
return {"message": "Welcome to the Agentic Defensor API"}
@app.post("/query", response_model=QueryResponse)
async def query(request: QueryRequest):
"""
Process a query using the legal agent.
Args:
request: Query request containing the query text and optional parameters
Returns:
Response containing the answer and metadata
"""
try:
result = legal_agent.answer_query(request.query, request.top_k)
return QueryResponse(
query=result["query"],
answer=result["answer"],
model_used=result["model_used"],
num_chunks_retrieved=len(result["retrieved_chunks"])
)
except Exception as e:
raise HTTPException(status_code=500, detail=f"Error processing query: {str(e)}")
# Run the server if this file is executed directly
if __name__ == "__main__":
uvicorn.run("src.api.app:app", host="0.0.0.0", port=8000, reload=True) |