World's Fair 2024
[Full Workshop] How to add secure code interpreting in your AI app: Vasek Mlejnsky
Overview
This workshop demonstrates how to integrate secure code interpretation capabilities into AI applications, similar to Anthropic's AI Artifacts feature. The process involves building a system that allows an AI model, specifically Claude's Sonnet, to generate and execute Python code within a secure sandbox environment. The workshop guides participants through setting up the necessary tools, defining code execution logic, and displaying the results, including visualizations, directly within the application's user interface.
Who should watch
- AI Engineers
- Product Managers
- Developers building AI-powered applications
- Those interested in enabling AI models to execute code securely
- Builders looking to create interactive AI experiences with code generation and visualization
Key takeaways
- AI applications can be enhanced by integrating secure code interpreters, allowing models to generate and run code like Python.
- The e2b Code Interpreter SDK provides a secure sandbox environment (a small VM) for executing AI-generated code, with support for Python, JavaScript, and R.
- The workshop utilizes the Vercel AI SDK for seamless integration with LLMs and streaming responses to the frontend.
- Tool usage, specifically defining a `run_python` tool, is a key pattern for enabling LLMs to trigger code execution.
- The system supports maintaining context across multiple code execution steps by reconnecting to existing sandboxes rather than creating new ones for each request.
- Results from code execution, including standard output, error output, runtime errors, and rich outputs like charts (PNG) and HTML, can be captured and displayed.
- Customization of the sandbox environment is possible through Dockerfiles, allowing for specific package installations and configurations.
- Security is a primary concern, with sandboxes built on Firecracker VMs, isolated and designed to restart upon detecting unauthorized actions.
Notable quotes
*The code interpreter isn't running on your machine, it's using a tool called e2b.*
*The sandbox is a general Ubuntu machine made with security in mind for running AI-generated code.*
*We are really optimizing on how most likely will AI generated python code or code will look like and the answer is it's going to be python code and it's going to be like a Jupiter server Jupiter notebook code.*
Unofficial community note. Prefer the recording for nuance.