OpenAI Codex on Amazon Bedrock

What happened

A practical guide for enterprises rolling out OpenAI Codex to developers on AWS, with Amazon Bedrock as the model backend, covering the access, governance, and cost decisions that platform, security, and finance teams need to align. 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. OpenAI is an artificial intelligence company based in San Francisco.

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. 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. Artificial Intelligence Developers increasingly use Codex with Amazon Bedrock to explore unfamiliar code, make changes, and handle repetitive engineering work.

Recommended default: Start with Native AWS Access for a small, least-privilege pilot. Choose AgentCore Gateway, a capability of Amazon Bedrock AgentCore, when you want AWS managed gateway infrastructure for routing or Amazon Bedrock Guardrails.

Choose an LLM (the kind of AI system trained on text to produce text) Gateway when a platform team wants to enforce controls in the request path. A custom integration is the advanced version of the LLM Gateway pattern, not a quick start.