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Learn how to implement interrupt-driven workflows in LangGraph with state persistence and human-in-the-loop approvals. This tutorial covers dynamic execution control, checkpointing with MemorySaver, and conditional routing patterns. #LangGraph #Python #WorkflowAutomation #StateManagement #AI #Checkpointing #Tutorial Zen Koan Explanation: The code uses `interrupt()` to pause execution and wait for external input, while the `MemorySaver` checkpointer preserves the graph's state (like a "checkpoint clutching the thread"). The interrupt presents a question that remains unanswered until resumed, mirroring the koan's theme of a question left dangling until external action resolves it. Source: https://docs.langchain.com/oss/python/langgraph/interrupts