Prompt Content
Using LangGraph, design a secure multi-turn conversational workflow for the R&D assistant. This workflow should handle complex follow-up questions, context switching, and graceful error handling when access is denied. Show how state is maintained and how different LLM models (GPT-5 for deep analysis, o4-mini for quick responses) are invoked based on the complexity and sensitivity of the user's query.
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