GPT-5.1 Codex AI Chat Assistant

Use GPT-5.1 Codex for multi-file refactors, migrations, architecture cleanup, unfamiliar-codebase explanation, and implementation plans that cross related files. It is a better fit than the base GPT-5 Codex option when change scope extends beyond one module.

On Rivya, GPT-5.1 Codex currently runs as a chat project that can also work from image inputs.

Provide the relevant files or excerpts, current behavior, desired behavior, constraints, and the checks that must pass. For migrations, include compatibility and rollback boundaries before asking for an edit plan.

Rivya currently bills 100 input credits and 800 output credits per million tokens. That tier makes sense when better cross-file awareness can prevent an incomplete refactor or a missed dependency.

Choose GPT-5.1 Codex for multi-file engineering work. Use the base GPT-5 Codex option for more contained code review or debugging, and a general chat model when the task is mainly writing or research.

Start here when the first response should test multi-file refactors, architecture cleanup, safer repo edits, or implementation planning on one specific Codex model. That gives you a contained first turn to check the prompt, direction, and response quality before moving into a longer project.

This page is set up as the public chat entry for GPT-5.1 Codex. That helps when multi-file refactors and migrations depends on screenshots, charts, or other visual evidence from the first turn.

On GPT-5.1 Codex, it matters more to frame the code goal, the existing context, and the output shape than to hunt for extra controls. If the first turn already contains the repo background, acceptance criteria, and constraints, the model usually gets useful much faster on multi-file refactors and migrations.

The page is publicly visible, but the actual first send is still gated behind sign in. Rivya currently bills this by usage: 100 input credits and 800 output credits per million tokens. You can use this page to frame the question and choose the model first, then sign in when you are ready to start the live thread.

Stay on this page while the job is still a first conversation and you are testing whether GPT-5.1 Codex can get traction on multi-file refactors and migrations from the first turn. Open the full Studio once the work needs saved context, attached files, follow-up rounds, or a thread you know you will keep expanding.