Explains how to run Pydantic's Monty, a sandboxed Python subset written in Rust, in WebAssembly for secure, browser-based execution of LLM-generated code.
Explains how to run Pydantic's Monty, a sandboxed Python subset written in Rust, in WebAssembly for secure, untrusted code execution in browsers.
Analysis of Mistral AI's new open-source CLI coding agent 'Vibe', including its architecture, prompts, and a practical test.
New release of the llm-gemini plugin adds support for nested Pydantic schemas, YouTube URL attachments, and the latest Gemini 3 Pro model.
Learn how to load large JSON files into Pydantic models using memory-efficient techniques like ijson and dataclasses.
A tutorial on using Google's Gemini 2.0 AI models to extract structured data like invoice numbers and dates from PDF documents.
Introducing Logfire, Pydantic's new observability tool for Python, with easy integration for OpenAI LLM calls, FastAPI, and logging.
Using Pydantic's BaseSettings to simplify and type-safely manage configuration and secrets for Python functions in OpenFaaS.
