Give LangGraph code execution capabilities

The text provides an example of how to integrate a code interpreter into a large language model (LLM) using the Code Interpreter SDK and LangGraph. It describes the process of setting up a secure cloud sandbox powered by Firecracker, which hosts a Jupyter server for executing code. The example uses OpenAI's GPT-3.5 Turbo to demonstrate plotting a sine wave, highlighting the capability of the Code Interpreter SDK to build custom code interpreters that can install packages, access the internet, and connect to cloud storage. The setup involves installing necessary dependencies, defining API keys, and implementing methods for code interpretation and tool invocation. The code is structured to allow an LLM to use a code interpreter as a tool, with detailed steps for creating a workflow using LangGraph and executing the task of plotting a sine wave, showcasing the ability to handle Python code execution and return results.

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