🚀 Streamline LLM agents with LangGraph’s ReAct pattern and function calling! 🧠 Instead of complex node webs, use a single “Reasoner” node.
This “brain” interacts with tools like search or math without convoluted routing. 🧮 Define your tools, create the Reasoner to process queries and execute tools, and leverage LangGraph’s ToolsNode and tool_code for seamless integration. 🧰
Example: Asking the agent “What is two times Brad Pitt’s age?” triggers a search for his age, followed by multiplication.
Key takeaways:

Simplicity through a single, powerful node.
Leverage pre-built components for faster development.
Embrace iterative tool calls for complex tasks. 🔄

Build efficient and maintainable LLM agents with ease! 🎉