Build LangChain agent with code interpreter

The example demonstrates how to integrate code interpreting capabilities into a Large Language Model (LLM) using the Code Interpreter SDK and LangChain, specifically utilizing OpenAI's GPT-3.5 Turbo for plotting a sine wave. The process involves setting up a secure cloud sandbox powered by Firecracker, which hosts a Jupyter server that the LLM can leverage for executing Python code. It covers the installation of necessary dependencies, configuration of API keys, and implementation of methods for code interpreting, formatting messages, and creating a LangChain agent. A key component is the CodeInterpreterFunctionTool class, which handles code execution within the Jupyter notebook environment, returning results like charts and logs. The example concludes with the execution of a program that plots a sine wave, showcasing the interaction between the LLM and the code interpreter within the sandboxed environment.

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