Lessons from early access to OpenAI's agent execution layer

“What we’re seeing with Agents SDK is a clear shift from agents as experiments to agents as infrastructure. The ability to persist state, safely execute in isolated environments, and resume long-running workflows is what finally makes these systems viable for real enterprise production, not just demos!” — Shikhar Kwatra, Partner AI Deployment Engineer, OpenAI From our perspective as an implementation partner, it is a clear step toward making long-running, stateful, production-grade agent workflows viable in enterprise environments. TL;DR – Why it’s worth reading It explains what OpenAI actually introduced, beyond the label, in plain implementation terms: sandbox execution, persistent state, resumability, capabilities, and guardrails.

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Excerpt limited to ~120 words for fair-use compliance. The full article is at deepsense.ai.