LangGraph interrupt: Making it easier to build human-in-the-loop agents

While agents can be powerful, they are not perfect. This often makes it important to keep the human “in the loop” when building agents.

From the start, we designed LangGraph with this in mind, and it’s one of the key reasons many companies choose to build on LangGraph. Today, we’re excited to announce a new method to more easily include human-in-the-loop steps in your LangGraph agents: interrupt

Python docs: https://langchain-ai.github.io/langgraph/concepts/human_in_the_loop/
JS docs: https://langchain-ai.github.io/langgraph/concepts/human_in_the_loop/