Understanding human-in-the-loop in LangGraph 1.0
A guide to how LangGraph's human-in-the-loop feature lets you pause AI agents for human review before a sensitive action.
The problem it solves
Autonomous AI agents that act without any human check are risky for tasks with real impact — sending an email, approving a payment, changing a record. LangGraph 1.0 offers first-class support for pausing an agent's execution right before that kind of action.
How it works in practice
The developer marks points in the agent's flow as human-review "checkpoints." When the agent reaches that point, execution pauses and its state is saved — literally waiting for a person to approve, edit, or reject the next step, without losing the context accumulated so far.
Why it matters for business automation
For companies automating customer service, sales, or operations with AI agents, this kind of controlled pause allows gaining speed on repetitive tasks without giving up human oversight on the decisions that really matter — a middle ground between full automation and 100% manual work.