Async Calls to External AI APIs | Dataford Interview Questions

Explain how you would implement asynchronous processing in Python when calling multiple external AI APIs.

Write a function that accepts a list of request payloads and a maximum concurrency limit, then returns one result per request in the same order. Each request should be processed asynchronously, and failures should be captured per item instead of stopping the whole batch.

Constraints

0 <= len(requests) <= 200
1 <= max_concurrency <= 50
Each request is a JSON-serializable dictionary
Return one result per request in the same order
A failure for one request must not stop the others

Function Signature

def fetch_ai_responses(requests, max_concurrency):

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Problem

Explain how you would implement asynchronous processing in Python when calling multiple external AI APIs.

Constraints

0 <= len(requests) <= 200
1 <= max_concurrency <= 50
Each request is a JSON-serializable dictionary
Return one result per request in the same order
A failure for one request must not stop the others

Function Signature

def fetch_ai_responses(requests, max_concurrency):

Your question is Async Calls to External AI APIs. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.