AI agents excel at reasoning. The harder part is operational: running multi-step work reliably over time, across real tools and real systems, with the right controls.

Today, we’re making this easier for customers through a partnership and joint collaboration with Amazon to deliver the new Stateful Runtime Environment that runs natively in Amazon Bedrock. AWS customers will have access to the Runtime Environment, powered by OpenAI models, optimized for AWS infrastructure and tailored for agentic workflows, with the state, reliability, and governance needed for production work.

A lot of agent prototypes based on stateless APIs tackle simple use cases: one prompt, one answer, maybe one tool call. Production work is different. Real workflows unfold across many steps, require context from previous actions, depend on multiple tool outputs, approvals, and system state, and need trusted guardrails in secure environments.

Stateless APIs require building the supporting orchestration layer for agents. The burden is on development teams to figure out how state is stored, how tools are invoked, how errors are handled, and how long-running tasks resume safely.

The Stateful Runtime Environment is jointly designed to reduce that load. It runs inside your AWS environment and is optimized to work with AWS services. Now, instead of manually stitching together disconnected requests to make things work, your agents automatically execute complex steps with “working context” that carries forward memory/history, tool and workflow state, environment use, and identity/permission boundaries.

It’s now easier than ever to deliver solutions like multi-system customer support, sales operations workflows, internal IT automation, and finance processes with approvals and audits.

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