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In this video we will go over how to re-create the canonical LangChain "AgentExecutor" functionality in LangGraph. The benefits of doing it this way are that it will be much easier to modify parts of it to fit your own custom logic.
Notebook: github.com/langchain-ai/langg...
LangChain Agents: python.langchain.com/docs/mod...