What is AI Artifacts?
AI Artifacts is an open-source version of the Anthropic Claude interface designed for executing AI-generated code. It uses E2B's code interpreter SDK and core SDK to run AI code securely in cloud sandboxes, supporting tasks like installing libraries, running shell commands, and executing Python, JavaScript, R, and Next.js applications.
Who is the target audience for AI Artifacts?
The target audience includes developers and data scientists who need a secure and easy-to-use environment for testing and running AI-generated code.
Can you give me some examples of how to use AI Artifacts?
Sure! Developers can use AI Artifacts to quickly build prototypes with AI-generated code. Data scientists can run AI-generated Python code in Jupyter notebooks for data analysis. Additionally, you can use AI-generated Next.js applications for web development.
What are the key features of AI Artifacts?
AI Artifacts uses the Anthropic Claude Sonnet 3.5 model for AI code generation. It utilizes E2B’s code interpreter SDK for safe execution of AI code. The Vercel AI SDK is used for calling tools and streaming responses from models. It supports running AI-generated Python in Jupyter notebooks, Next.js applications, and Streamlit applications.
How do I get started with AI Artifacts?
To get started, first install any necessary dependencies. Then set up your API keys by creating a .env.local file and adding your E2BAPIKEY and ANTHROPICAPIKEY. Finally, run the application.