AI API calls are I/O-bound — you're waiting on network responses. Async Python lets you run many AI requests concurrently, dramatically improving throughput. Here's how to build high-concurrency AI applications.

Why Async for AI?

A single AI API call might take 1-3 seconds. If you process 100 requests sequentially, that's 100-300 seconds. With async concurrency, you can process all 100 in seconds.

`python

import asyncio

import httpx

Sequential (slow)

async def process_sequential(requests):

results = []

for req in requests:

result = await call_ai(req) # 2 seconds each

results.append(result)

return results

Total: len(requests) × 2 seconds

Concurrent (fast)

async def process_concurrent(requests):

tasks = [call_ai(req) for req in requests]

results = await asyncio.gather(*tasks)

return results

Total: ~2 seconds total (all run in parallel)

`

Basic Async AI Client

`python

import asyncio

import httpx

from typing import Optional

class AsyncAIClient:

def init(self, apikey: str, baseurl: str…