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Exercise

Creating custom tools

Now that you have a function for extracting customer data from the customers DataFrame, it's time to convert this function into a tool that's compatible with LangChain agents.

Instructions

100 XP
  • Add the @tool decorator before the function definition to convert it into a LangChain tool.
  • Print the tool's arguments using the .args attribute on the tool (e.g., tool_name.args).