Feature Request: Let Codex Build and Embed Small Task-Specific Local Models

Hello OpenAI team, I would like to request a Codex feature for local-first software development. Feature idea: Allow Codex to optionally prepare, adapt, quantize, and integrate a small task-specific local model into the applications it builds. Example: If I ask Codex to build a debt management desktop app, it should be able to optionally prepare a lightweight local model for that app’s specific use case and integrate it into the generated project so core AI features can work offline. Why this would be valuable: * offline and privacy-friendly app experiences * less dependency on external APIs for end users * more useful generated apps * stronger local-first developer workflows * better support for specialized software Important note: This could be controlled by plan limits or compute limits, so higher tiers could support larger local model workflows while standard paid tiers support smaller task-specific models. What I’m asking for: * optional local model preparation inside Codex * optional task adaptation / lightweight fine-tuning flow * optional quantization/export flow * ability to integrate the resulting lightweight model into generated desktop or web apps * clear controls for model size, runtime limits, and deployment target This would make Codex much more powerful for developers building real local-first software. Thanks.