OpenAI has published a new developer guide that explains how to run its models on Amazon Bedrock, the AWS-managed platform for deploying generative AI applications. The cookbook is aimed at developers who want to connect OpenAI models with Amazon infrastructure while following OpenAI’s recommended setup steps.

The guide, titled "Getting Started with OpenAI Models on Amazon Bedrock," is presented as part of OpenAI’s documentation and cookbook collection. It walks through the basics of using OpenAI models within an AWS Bedrock environment and appears alongside other OpenAI resources covering model use, prompting, agents, tools, scaling, and deployment.

Amazon Bedrock is AWS’s service for accessing and managing foundation models in a cloud environment. By documenting a Bedrock-based workflow, OpenAI is giving developers a path for deploying its models in an ecosystem that is already widely used by enterprise customers. The cookbook suggests that OpenAI is continuing to make its models easier to integrate into cloud-based production systems.

The documentation is structured like OpenAI’s other technical guides, with navigation into related topics such as SDKs, Responses API, structured outputs, function calling, prompt caching, streaming, and workload identity federation. It also sits within OpenAI’s broader set of deployment resources, which includes a dedicated Amazon Bedrock guide under its "Going live" section.

While the source material does not detail any new product launch or pricing change, the publication of the cookbook is notable because it highlights OpenAI’s support for enterprise deployment patterns beyond its own hosted interfaces. The guide may be especially relevant for teams building apps that need to run in AWS environments for security, compliance, or infrastructure reasons.

The documentation page also references OpenAI’s newer product and platform areas, including agents, realtime features, voice agents, tools such as web search and computer use, and specialized models for images, video, embeddings, and moderation. That context indicates the Bedrock cookbook is part of a larger effort to help developers adopt OpenAI models across a range of production scenarios.

For AWS users, the cookbook provides an official starting point rather than a third-party workaround. That can matter in enterprise settings where teams prefer vendor-backed guidance for authentication, model access, and deployment architecture. For OpenAI, the guide extends the reach of its models into another major cloud platform and gives technical teams more flexibility in how they build and run applications.

The documentation does not say which OpenAI models are covered in detail, nor does it describe specific performance claims. But its existence signals a practical focus on cross-platform deployment and reflects the growing overlap between AI model providers and cloud infrastructure vendors.

As OpenAI continues to expand its documentation for production use, the Bedrock cookbook adds one more option for developers looking to connect its models with enterprise cloud systems.