Do not treat LangGraph as a longer chain: define state, interrupts, and recovery first

Short summary

LangGraph is not a simple chain upgrade but a framework for complex, stateful AI agents with interrupts, approval workflows, and recovery patterns. Understand state schemas, reducers, checkpointing, and deserialization security before adoption. Start with a minimal smoke check using one node, an explicit reducer, an interrupt, and forced-failure recovery validation.

• •LangGraph enables stateful, recoverable agent workflows with human approval steps, not just chains
• •State schema, reducers, and checkpointing boundaries must be understood before production deployment
• •Validate with minimal smoke checks: single node, explicit reducer, interrupt handling, and failure recovery

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