FastAPI Webhooks in Python: Handle Long-Running LLM Jobs

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

About this lesson

Stop polling long LLM jobs—use a FastAPI webhook receiver to accept async results, verify signatures, and update job state reliably. Build a secure, idempotent flow that replaces polling, ensures durable SQLite-backed job records, and keeps dashboards and downstream tasks consistent. Hands-on with FastAPI, Python, HMAC-SHA256 signature verification, idempotent state machines, and simple SQLite persistence you can map to production. Watch to implement the pattern end-to-end and subscribe for more AI engineering and LLM systems tutorials. #FastAPI #LLM #AIEngineering #Webhooks #Python #APISecurity #Tutorial

Original Description

Stop polling long LLM jobs—use a FastAPI webhook receiver to accept async results, verify signatures, and update job state reliably. Build a secure, idempotent flow that replaces polling, ensures durable SQLite-backed job records, and keeps dashboards and downstream tasks consistent. Hands-on with FastAPI, Python, HMAC-SHA256 signature verification, idempotent state machines, and simple SQLite persistence you can map to production. Watch to implement the pattern end-to-end and subscribe for more AI engineering and LLM systems tutorials. #FastAPI #LLM #AIEngineering #Webhooks #Python #APISecurity #Tutorial
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