MathViz FAQs

Question 1

What is MathViz and how does it work?

Accepted Answer

MathViz is an AI-powered service that converts natural language mathematical problem descriptions into visual plots. It uses a Large Language Model (LLM) to generate Matplotlib code, executes it securely in a Docker sandbox, and then serves the resulting plot image.

Question 2

How does MathViz ensure the security of code execution?

Accepted Answer

MathViz prioritizes security by executing all AI-generated code within an isolated Docker container. This sandbox has network access disabled, enforced resource limits, and the code is sanitized to prevent malicious operations.

Question 3

What kind of visualizations can MathViz create?

Accepted Answer

MathViz leverages Matplotlib, a powerful Python plotting library, to create a wide array of visualizations based on your mathematical problem descriptions. This includes various types of graphs, charts, and diagrams as generated by the AI.

Question 4

Is MathViz easy to deploy and integrate into existing workflows?

Accepted Answer

Yes, MathViz is designed for easy deployment. You can run it directly or use pre-built Docker images for consistent environments. It supports flexible transport, including SSE for web clients and stdio for local applications, making integration straightforward.

Question 5

What are the core prerequisites for running MathViz?

Accepted Answer

To run MathViz, you will need Python 3.10+ and Docker installed. Additionally, an OpenAI-compatible API key (e.g., for GPT-4o-mini) is required for the underlying Large Language Model that generates the plotting code.

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