Pydantic
The Pydantic Stack is a collection of developer tools to build your AI engineering apps. Pydantic AI (type-safe agent framework), Pydantic Logfire (AI observability with support for full-stack apps), Pydantic Evals (AI evaluation), Pydantic AI Gateway (AI model routing), and Pydantic Validation.
Channel created: March 06, 2025
1,120
Subscribers
7
Total Videos
25,405
Total Views
26
Videos
Recent Videos
View All Videos
Shifra Williams - What your AI pipeline does when you're not looking - PyAI London at AIE 2026
LLM calls are slow, expensive, and surprisingly opaque. Without observability, debugging quality issues or runaway costs is guesswork. Shifra Williams, Founding DevRel at Render, demos a production...
Samuel Colvin - Controlling the wild: from tool calling to computer use - PyAI London at AIE 2026
Samuel Colvin, creator of Pydantic, discusses Monty, a minimal, secure Python interpreter built in Rust for AI agents and production code execution. This talk explores the core design decisions beh...
Abhishyant Khare Agent Native Engineering With Cofounder/CTO - PyAI Conf 2026
AI agent orchestration in production: multi-agent systems, async delegation, and Logfire observability. Abhi from General Intelligence Company (GIC) breaks down how to build agent systems that reco...
Zanie Blue Do developer tools matter to agents? - PyAI Conf 2026
Your agent just used curl to download a wheel from PyPI, unzipped it directly into site-packages, and called it a day. It works. It's also not how anyone should be doing this. Zany Blue (Astral) br...
Niamh Gavin AI Research Fails - Anecdotes from the Frontline - PyAI Conf 2026
What happens when your AI agent accidentally triggers a P0 security incident? Or debates the Immaculate Conception until it consumes an entire data center? These aren't hypotheticals. They're real ...
Samuel Colvin Controlling the wild: Monty, from tool calling to computer use - PyAI Conf 2026
Samuel Colvin (creator of Pydantic) introduces Monty: a minimal, secure Python interpreter written in Rust, built from scratch for AI agents and code execution in production. Code execution is one ...
Pamela Fox Improving MCP tool schemas to increase agent reliability - PyAI Conf 2026
Pamela Fox set out to prove that stricter MCP schemas make agents more reliable. The evals said: it's more complicated than that. In this talk from PyAI Conference 2026, Pamela builds a FastMCP ser...
We refactored the Logfire Explorer view: here's what changed
The Pydantic Logfire Explorer view now works in a Jupyter-like notebook style. Navigate and write queries entirely with the keyboard, or just click around if that's more your style. If you're a key...
Armin Ronacher Leaning In To Find Out - PyAI Conf 2026
Armin Ronacher (creator of Flask, Jinja2, and Rye) went deep on agentic coding after leaving Sentry. This talk is what he figured out. The core question: if you can't see inside foundation models, ...
Open Source in the age of AI Panel – PyAI Conf 2026
The creator of Python, the creator of Pydantic, the creator of FastAPI, and the creator of FastMCP sit down for a real conversation about AI, open source maintenance, and who owes what to the commu...