langgraph-human-in-the-loop

To pause a LangGraph workflow for human approval, implement interrupt mechanisms within the graph execution. This enables conditional pausing at specific nodes, allowing the agent to halt execution and wait for explicit user confirmation before resuming the agentic workflow.

Resuming a paused LangGraph agent requires checkpointers to save graph state and unique thread IDs to track the specific execution context. These components ensure stateful continuity, allowing the workflow to seamlessly resume from the exact interruption point after receiving user input.

Yes, you can use human-in-the-loop error handling in LangGraph by pausing execution when errors occur. This mechanism gracefully handles failures by pausing the agentic workflow and re-prompting the user for valid input before attempting to resume the process.

State management during LangGraph execution interruption relies on checkpointers to persist the graph state while paused. This ensures that all data within the JSON-serializable payloads is saved, providing seamless state continuity upon workflow resumption.

You should add human-in-the-loop interrupts to an agentic workflow when user decision-making is required before proceeding, such as pausing an agent after it drafts an email to wait for explicit approval before sending.

Yes, LangGraph requires JSON-serializable payloads for pausing execution to ensure seamless integration into stateful agentic systems. This format allows checkpointers to properly save and resume the graph state during human-in-the-loop interrupts.