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Pydantic Monty: Wild LLMs, from tool calling to computer use (Sponsor: Pydantic)
Samuel Colvin Controlling the wild: Monty, from tool calling to computer use - PyAI Conf 2026
⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic
A Minimal Python Sandbox for AI Agents - Samuel Colvin, CEO at Pydantic - AI Demo Days
Pydantic AI: Build Open Source AI Agents with GitHub Integration
MCP + PydanticAI - Build powerful AI agents
Pydantic Tutorial • Solving Python's Biggest Problem
Pydantic AI - Agent Dependencies (for API clients, Database connections, etc)
Build Typed Agents with Pydantic AI in Python (Code + Results) | 2026
Pydantic Crash Course - Build Reliable Python & AI Applications
Pydantic Ecosystem, Databases & Project Setup | Pydantic AI for Absolute Beginners Part 2
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Last Updated: October 2, 2026
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Summary
When LLMs write code to accomplish a task, that code has to actually run somewhere. And right now, the options aren't great. LLMs are increasingly being used to take actions, call APIs, and write code. But giving
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