Admission Control for LLM Apps in Python

Admission control for LLM systems: score incoming requests and admit high-priority work to protect p95 latency and control token costs. Learn a practical Python workflow (heapq-based scorer, capacity limiter, per-tier quotas, defer/drop policy, tail-aware guard) to keep queues stable and responses predictable. Applies to multi-tenant APIs, serverless front doors, and internal pipelines where tail latency and cost matter. Subscribe for concise AI engineering and LLM systems tutorials in Python. #LLM #AdmissionControl #AIEngineering #Python #Latency #p95