agenttobenamed 0.1.14

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A minimalistic LLM agent for Exploratory Data Analysis (EDA) using pandas library

Task: given a CSV or a XLSX file, respond to user's query about this table by generating a python code and executing it.

• Using LangChain routers/tagging, a prompt type will be established: to produce a plot or to compute the numerical values.
• The GPT model breaks down the user's request into several subtasks.
• The LLM generates code based on these subtasks.
• The code is executed using the python REPL.
• If the REPL throws an error, GPT will begin debugging until resolved.
• The result is the string output of the code 'print(result)' + optionally, saved image with a plot.

Query example: 'Find correlation between GDP and happiness index, subtract 0.4 and multiply by 1e6.'