Find out how you can combine Pydantic AI's type safety with Temporal's Durable Execution to build prod-ready AI agents.

Temporal's platform is a central hub for developers interested in distributed systems, workflow orchestration, and fault-tolerant computing. Through articles, tutorials, and documentation, Temporal offers insights into building resilient and scalable distributed applications. Developers can learn about workflow automation, state management, and handling failure scenarios using Temporal's workflow engine and coordination APIs.

Temporal

Pydantic AI introduces native Temporal support for building production-ready AI agents with durable execution. The integration combines Pydantic's type safety and observability with Temporal's fault-tolerant workflow orchestration, enabling agents that survive API failures, handle long-running tasks, and maintain state through restarts. A practical Slack bot example demonstrates multi-agent coordination, where a dispatcher and research agent work together through Temporal workflows, automatically retrying failed operations and preserving progress without manual checkpointing.

Here's how to build durable AI agents with Pydantic and Temporal

Why Durable Execution matters for production AI #

A real-world example: Multi-agent systems #

Try it yourself: Join the live coding session #