Build Durable Agents With Pydantic AI And Temporal
Agentic applications can fail mid-run: a network call drops, a server process crashes, an LLM request...
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Agentic applications can fail mid-run: a network call drops, a server process crashes, an LLM request...

What this post covers This post gives the agent real work. In previous posts we just gave...

In a recent audit, a team showed me an AI assistant they'd built on top of their company knowledge...
Pydantic AI brings Pydantic's validation to LLM agents. Pair it with Lumbox and you get type-safe inbox, OTP, and send tools with zero marshaling boilerplate.
If you're building AI Agents with Pydantic AI, understanding Capabilities is invaluable - it's the...

Swap Bedrock for the Mistral API without touching the agent: an SSM model registry built at invoke time, plus EMF metrics so one CloudWatch dashboard covers every provider.

Stream every pydantic-ai run as an OTel trace into S3 with Object Lock for the audit copy, with Logfire as the live visualizer.

Stand up Bedrock in Terraform, make your first pydantic-ai call, and front it with a CloudWatch dashboard and daily-threshold alarm.
How I Built a Multi-Agent Prompt Engineering Runbook with pydantic-ai and FastAPI Most...

After 109 production builds, here is my real comparison of three self-hosted AI agent stacks (Pydantic AI, LangGraph, n8n) plus a five-minute decision framework.

How to build type-safe AI agents with Pydantic AI, from structured outputs and dependency injection to AWS Bedrock deployment and testing without burning API credits.

En los últimos meses he tenido la suerte de explorar el mundo de los agentes AI, concretamente...