LLM Reliability in Python: SLOs, Error Budgets, and Fallbacks

SLO-driven LLM reliability — build a tiny Python pipeline that gates answers by latency and quality targets. Get a practical setup to compute SLIs (p50/p95, success rate), convert them into SLOs and an error budget, and automate rollback, fallback, or human escalation. Hands-on examples include canary gating, route selection, and a lightweight policy engine implemented in Python. Subscribe for concise AI engineering tutorials. #LLM #SLO #AIEngineering #Python #MLOps #Reliability #Tutorial