Run Slow LLM Jobs Without Blocking FastAPI: Celery + Redis in Python

Professor Py: AI Engineering · Beginner ·🔧 Backend Engineering ·2mo ago

About this lesson

Slow LLM jobs should not hold your FastAPI request hostage — learn how to offload long-running model calls to background workers. Queue slow LLM calls, return immediate job IDs, and poll status to keep FastAPI responsive using Celery, Redis, and Pydantic. See retry/backoff strategies, progress metadata, and an integration test pattern that proves the loop without Redis. Subscribe for practical AI engineering and LLM systems tutorials. #FastAPI #Celery #Redis #LLM #Python #AIEngineering #APITutorial

Original Description

Slow LLM jobs should not hold your FastAPI request hostage — learn how to offload long-running model calls to background workers. Queue slow LLM calls, return immediate job IDs, and poll status to keep FastAPI responsive using Celery, Redis, and Pydantic. See retry/backoff strategies, progress metadata, and an integration test pattern that proves the loop without Redis. Subscribe for practical AI engineering and LLM systems tutorials. #FastAPI #Celery #Redis #LLM #Python #AIEngineering #APITutorial
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