LiteLLM Proxy in Python: Routing, Rate Limits, Budgets, and Fallbacks

LiteLLM Proxy centralizes routing, budgets, and failover for multi-provider LLMs. Hands-on Python demo using an OpenAI-compatible client shows per-key budgets, rpm/tpm rate limits, automatic fallbacks, latency checks, and spend tracking for predictable costs. Learn to mint scoped keys with the LiteLLM admin API and route traffic to the cheapest healthy provider before production. #AIEngineering #LLM #LiteLLM #Python #OpenAI #DevOps #Tutorial Subscribe for practical AI engineering and LLM systems tutorials.