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Learn how to implement static interrupts in LangGraph workflows using compile-time configuration. This tutorial covers interrupt_before and interrupt_after parameters, checkpointer state persistence, and thread-specific execution control for pausing and resuming graph processing. #LangGraph #Python #WorkflowAutomation #AI #GraphProcessing #StateManagement #Tutorial Zen Koan Explanation: The code sets an `interrupt_before` breakpoint at `node_a`, pausing execution before it runs, while `node_b` and `node_c` are configured with `interrupt_after`, allowing them to complete before pausing. This mirrors the koan's imagery: `node_a` is "frozen in place" by the pre-execution breakpoint, while `node_b` "slips past like a shadow" because its interruption occurs only after execution, making it seem to evade immediate scrutiny. The checkpointer preserves state, enabling this controlled flow. Source: https://docs.langchain.com/oss/python/langgraph/interrupts