LangChain CSV Agent

LangChain CSV Agent is a ReAct-style agent that allows a large language model to query and manipulate CSV files using natural language commands. You load the data with create_csv_agent(llm, “sales.csv”); Internally, the agent parses the file into a pandas DataFrame, then loops through Thought → Action → Observe. It generates Python code — calculations, filters, plots — runs that code in a sandbox, commits the result, and returns it to the LLM until it returns a final answer. Guards block file I/O outside the working directory and limit execution time, while callbacks pass intermediate code, charts, and token values ​​to your UI. Analysts use the CSV Agent to calculate KPIs, detect outliers, or produce SQL-ready summaries without writing pandas syntax. When paired with Streamlit, the agent becomes an interactive chatbot for data analysis; when paired with Retrieval-Augmented Generation, it enriches responses with external documents, turning raw tabular data into conversational information in minutes.