Your question is Orchestration Framework Trade-offs. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
What are the trade-offs between different orchestration frameworks like LangChain or LangGraph for production-grade applications?
Compare the frameworks as an ML systems engineer designing reliable agent workflows. Discuss when a chain, graph, workflow engine, or custom orchestration layer is appropriate, including state management, retries, observability, human approval, persistence, deployment, testing, and cost. Explain how you would evaluate the choice and handle model non-determinism, tool failures, partial progress, and framework lock-in.