In this article, the construction of a complete agentic workflow with Python and LangGraph is taught. From running a model to using smart tools, LangGraph allows developers to implement AI processes in a structured and flexible way.
By utilizing the features of this library, you can build systems that, in addition to responding, are able to use various tools and interact at different stages of tasks, which is an important step in developing agent-based work in the field of artificial intelligence.