Developers run Codex on local workstations while routing inference calls to supported models hosted within their cloud environment. To accommodate varying operational needs, organizations can choose between native access setups, managed routing gateways, or inline proxy gateways. Setting up the environment requires federating identities through systems like Okta to supply temporary credentials and restrict permissions strictly to inference and monitoring paths. Teams must also verify regional availability for required models such as GPT-5.6 Sol, Terra, or Luna prior to launch.
Key points
Platform teams can eliminate duplicate access systems by integrating model inference into…: Platform teams can eliminate duplicate access systems by integrating model inference into established AWS identity and observability workflows.
Organizations have three architecture choices for adoption, including Native AWS Access,…: Organizations have three architecture choices for adoption, including Native AWS Access, AgentCore Gateway with Bedrock Guardrails, and custom large language model gateways.
Initiating a pilot requires scoping permissions strictly to designated inference routes,…: Initiating a pilot requires scoping permissions strictly to designated inference routes, validation tooling, and required observability endpoints.
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Artificial Intelligence
OpenAI Codex on Amazon Bedrock
Developers increasingly use Codex with Amazon Bedrock to explore unfamiliar code, make changes, and handle repetitive engineering work. For platform teams, the challenge is to make those tools available without creating a second model-access, identity, and operations stack.
Codex can use Amazon Bedrock for inference with supported OpenAI models. In this post, we show how to fit that path into the AWS identity, AWS Identity and Access Management (IAM), Regional, and observability practices your organization already uses. Codex still runs on the developer workstation. The main design choice is how its model requests reach Amazon Bedrock and where your organization applies policy and operational controls.
We begin with a small, least-privilege pilot and work through the checks that matter before access expands. The examples use GPT-5.6 Sol. Before starting the pilot, review Supported models by AWS Region in Amazon Bedrock to confirm that Sol, Terra, or Luna is available in the AWS Region and inference path you plan to use.
Recommended default: Start with Native AWS Access for a small, least-privilege pilot. Choose…
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