LangGraph Interrupt and Resume Workflow - Part 17/22

Description

Learn how LangGraph's interrupt mechanism enables dynamic execution pauses for human-in-the-loop workflows, with a focus on JSON-serializable payload requirements and common pitfalls. This tutorial covers interrupt implementation patterns and state persistence constraints in LangGraph workflows. #LangGraph #Python #AI #WorkflowAutomation #StateManagement #InterruptionHandling #JSONSerialization Zen Koan Explanation: The code attempts to pass a validation function (`validate_input`) directly to `interrupt()`, which fails because functions cannot be serialized for remote execution. This mirrors the koan's theme of a "validator hunting for invisible strings"—the function exists in memory but cannot be transmitted, making it both present (in code) and absent (in execution), much like measuring "nothing" while demanding validation. The solution requires serializable validation logic (e.g., inline checks) rather than passing functions. Source: https://docs.langchain.com/oss/python/langgraph/interrupts