🎬 E124 — Creando agentes con PydanticAI
Video Details
Channel: en_coders
URL: https://www.youtube.com/watch?v=txRPLlkK4KE
Relevance: ⭐⭐⭐⭐⭐
Summary
Spanish-language tutorial building AI agents with PydanticAI: defining agent output schemas as Pydantic models, configuring automatic retry on validation failure (max 3 retries with different temperature each time), streaming structured outputs, and integrating with Ollama as the inference backend.
PUMA Relevance
PydanticAI is a core PUMA component for output validation. This tutorial shows exactly how PUMA’s TriageResult schema (priority: Literal[‘Blocker’,‘Critical’,‘Major’,‘Minor’,‘Trivial’], reasoning: str) is enforced: Pydantic validates the output, and if it fails (e.g., model returns ‘High’ instead of ‘Critical’), PydanticAI retries with a correction instruction. The Ollama integration is directly reusable.