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Loop Engineering with LangChain Deep Agents
Loop Engineering with LangChain Deep Agents
An agent loop lets an LLM act, observe results, and decide what to do next. In this course, you’ll learn a framework for the loops around that cycle and how to build them: a verification loop that checks output against explicit criteria, an event-driven loop that triggers runs, and a hill-climbing loop that improves the agent across runs.

















































