Building a Data Visualization Agent with LangGraph Cloud

The provided text is a detailed description of a data visualization tool that uses natural language processing (NLP) and large language models (LLMs) to generate charts based on user queries. The tool, which is built using LangGraph Cloud's streaming API and interactive studio, allows users to ask questions about their data in natural language and receive corresponding visualizations. The text outlines the workflow of the tool, including receiving a question from the user, generating an SQL query based on the question, executing the query, formatting the results for visualization, and finally rendering the chart. The DataFormatter class is responsible for formatting the data according to the chosen visualization type (bar, horizontal bar, line, pie, or scatter). The frontend uses prebuilt graph templates to display the visualizations, and LangGraph Cloud's streaming API provides real-time updates on the workflow progress. The tool aims to make data exploration more accessible and intuitive for users of all skill levels.