This English-language summary evaluates a candidate's ability to design a resilient, multi-provider LLM client library encompassing provider management, governance (rate limiting and quotas), resilience mechanisms (health checks, timeouts, circuit breakers), routing (cost- and latency-aware load balancing, retries and fallbacks), observability, security, and concurrency. Commonly asked in the ML System Design domain to assess architectural decision-making and trade-off reasoning for availability, cost, latency, and operational robustness, the question targets practical application and architectural-level thinking rather than purely conceptual or low-level implementation details.
You are designing a client library used by backend services to call external Large Language Model (LLM) providers (e.g., OpenAI, Anthropic, etc.). The library must route requests across multiple providers to maximize availability, control cost, and meet latency SLOs.
Login required