An API times out. A worker restarts. Your agent is halfway through a task. How do you keep it moving—and see what happened along the way?
Join Temporal and Aditya Vardhan, Software Engineer at Pydantic, for a practical walkthrough of building durable AI agents with Pydantic AI and Temporal. We’re teaming up again to revisit the foundations and explore Code Mode, sandboxed execution with Monty, and observability with Logfire.
We’ll show how to build an agent, add durable execution so it can recover from failures, and use Code Mode to let it write Python that calls your tools inside a Monty sandbox. Throughout the session, we’ll use Pydantic Logfire to follow model requests, tool calls, and execution details as the agent works.
In this webinar, you'll learn how to:
Whether you joined our previous session or are exploring these tools for the first time, you’ll leave with a clearer understanding of how to build, run, and observe durable AI agents.
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Senior Staff Developer
Temporal Technologies
Cecil Phillip is a Senior Staff Developer Advocate at Temporal Technologies, where he focuses on helping developers build reliable software solutions while also educating them on the benefits of adding durability to their applications. With over 15 years of experience building software for industries including finance, education, HR, and healthcare. He has a passion for teaching and helping others realize their potential through education. Currently a resident of Florida with Caribbean roots, he also enjoys teaching, obstacle course racing, and scuba diving.
Software Engineer
Pydantic
Aditya Vardhan is a Software Engineer at Pydantic responsible for maintaining Pydantic AI. He occasionally dabbles in game dev for fun or to learn new programming languages.
You can find him engaging with the community and sharing memes over X (@adtyavrdhn03) and Reddit (u/adtyavrdhn).