Temporal Cloud

OpenAI + @Temporalio : Building Durable, Production Ready Agents - Cornelia Davis, Temporal

Jan 12, 2026 · 1:18:30

Cornelia Davis, developer advocate at Temporal, demonstrates how the OpenAI Agents SDK and Temporal combine to build durable, production-ready AI agents. The integration, co-developed by OpenAI and Temporal, wraps agentic loops in Temporal workflows, providing automatic retries, event sourcing, and state management that survive process crashes and network failures. A live demo shows a weather alert agent that calls an LLM, invokes tools like get_weather_alerts and get_ip_address, and recovers seamlessly after the worker is killed. Davis highlights that Temporal’s architecture treats processes as logical entities, allowing agents to run for days and handle human-in-the-loop delays without developer-managed infrastructure. She also explains handoffs and micro-agent orchestration, and points to the AI Cookbook on docs.temporal.io with ready-to-run recipes including the OpenAI Agents SDK integration.

Scaling AI Agents Without Breaking Reliability — Preeti Somal, Temporal

Jul 28, 2025 · 15:01

Preeti Somal, SVP of Engineering at Temporal, argues that the platform is the right choice for building reliable, scalable agentic AI applications. Temporal provides battle-tested orchestration through workflow abstractions, handling state, retries, and failure transparency so developers can focus on business logic. She cites customers like Dust and Gorgias running AI agents on Temporal in production, achieving up to 6x faster feature delivery. The platform uses signals and queries for human interaction, stores full workflow history for debugging and compliance, and offers Temporal Cloud for managed scalability. Somal emphasizes that agents are complex distributed systems requiring robust orchestration, and Temporal’s decade of production use in mission-critical applications proves its reliability.