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Building Human-In-The-Loop Agentic Workflows

https://towardsdatascience.com/building-human-in-the-loop-agentic-workflows/(towardsdatascience.com)
Human-in-the-loop (HITL) design is a critical component for agentic workflows, as human review helps mitigate errors from the probabilistic nature of LLMs. This technical guide explains how to build a HITL agentic workflow using the LangGraph framework. The core concept relies on using interrupts to pause the graph's execution at specific points, allowing a human to review, approve, or edit content before the workflow resumes. To manage the state during these pauses, checkpointers like SQLite are necessary to persist data and allow the graph to resume from the correct point. The article provides a practical example of a social media content generation workflow that searches for a topic, drafts a post, and then waits for human confirmation before publishing.
0 pointsby hdt1 hour ago

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