A technical guide demonstrating the implementation of a ReAct agent using LangGraph's Functional API, covering basic setup, tool integration, and conversation persistence. The guide walks through crea
ting a functional agent that can process queries, make tool calls, and maintain conversation context across multiple interactions.
Reasons to Read -- Learn:
how to build a practical ReAct agent from scratch using LangGraph, with clear code examples and explanations for each component of the implementation.
how to implement thread-level persistence in your AI agent, enabling it to maintain conversation context and create more natural multi-turn interactions.
how to integrate custom tools with a chat model, demonstrated through a practical weather lookup example that shows both synchronous and parallel tool execution patterns.
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