OratorLab
🐍 Python For Development / Topic 4: File I/O, Databases & REST APIs / FREE SUBTOPIC

REST APIs, JSON Serialization & Asynchronous I/O

Build production-grade APIs that serve AI models, process webhooks, and read structured datasets efficiently.

⚡ Interactive Free Lesson

Open in Interactive Course Player

Listen to voice walkthroughs, test API calls live, and ask our AI Expert.

▶ Launch Free Preview

High-Performance Asynchronous Endpoints

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
import aiofiles, json

app = FastAPI(title="AI Agent State Server")

class AgentState(BaseModel):
    agent_id: str
    status: str
    memory_count: int

@app.post("/api/agents/state")
async def save_state(state: AgentState):
    async with aiofiles.open(f"states/{state.agent_id}.json", "w") as f:
        await f.write(json.dumps(state.dict(), indent=2))
    return {"status": "saved", "agent_id": state.agent_id}

By leveraging non-blocking asynchronous event loops with aiofiles and FastAPI, Python services maintain high concurrency with minimal CPU overhead.

Build Real-World Python Backends

▶ Launch Free Preview in Player View Course Details (₹999)