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Agentic Loops: Human Intervention Patterns
Explore practical patterns enabling reliable human-in-the-loop interventions for long-running agentic loops, with concrete examples and live demonstrations of implementation techniques.
While agentic loops are designed to be predominantly autonomous, in reality they often need human intervention. But because we’ve given the LLM agency to decide the program flow, the details of when, and even if, such human interaction is needed can be tricky to work into our implementations. In this talk we will present a set of patterns that support this use case, patterns that work even when agents are long running (minutes, hours, days and weeks). And we promise demos!