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🎵 Every step you take, every call you make - the reliable agent stack

Conference Context

Session Description

In this session, we skip past the demos that work only on your laptop, and go straight to how you can build production-ready agents with a stack that covers all the hard bits of backend development that you don’t want to be bothered with when developing your agents: - Failure resiliency: retries, timeouts, and exactly-once execution so a flaky API or a crashed process doesn't corrupt your agent's state or makes them start from scratch - Durable Sessions: a session store with built-in conversation isolation and protection against corruption from concurrent agents - Pause/resume for human approvals: survive human approvals and research that take weeks without building complex infra - Agent-to-agent messaging layer: call agents developed by other teams or running on other infra with resilient HTTP calls - A kill switch: cancel a running agent cleanly at any point, without leaving half-executed work behind We will demonstrate each concept with live code examples, using Python, OpenAI Agents SDK and Restate as open-source Durable Execution engine. All examples are generally applicable: pick your favorite agent SDK (OpenAI Agents, Pydantic AI, Vercel AI, Google ADK,…) or go wild and implement low-level custom agents by just tying together LLM calls with custom logic.

Media Evidence

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Synthesis

Synthesized Breakdown

🎵 Every step you take, every call you make - the reliable agent stack ## Conference Context - Date/time: 2026-07-01 · 1:55pm-2:15pm - Track/room: Harness Engineering · Main Stage - Speaker(s): Giselle van Dongen - Session type/status: session · confirmed - Track: Harness Engineering - Room: Main Stage - Session type: session - Status: confirmed ## Session Description In this session, we skip past the demos that work only on your laptop, and go straight to how you can build production-ready agents with a stack that covers all the hard bits of backend development that you don’t want to be bothered with when developing your agents: - Failure resiliency: retries, timeouts, and exactly-once execution so a flaky API or a crashed process doesn't corrupt your agent's state or makes them start from scratch - Durable Sessions: a session store with built-in conversation isolation and protection against corruption from concurrent agents - Pause/resume for human approvals: survive human approvals and research that take weeks without building complex infra - Agent-to-agent messaging layer: call agents developed by other teams or running on other infra with resilient HTTP calls - A kill switch: cancel a running agent cleanly at any point, without leaving half-executed work behind We will demonstrate each concept with live code examples, using Python, OpenAI Agents SDK and Restate as open-source Durable Execution engine. All examples are generally applicable: pick your favorite agent SDK (OpenAI Agents, Pydantic AI, Vercel AI, Google ADK,…) or go wild and implement low-level custom agents by just tying together LLM calls with custom logic. ## Media Evidence No related AI Engineer channel video found yet. ## Evidence Graph This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.

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