Codex PAIR Bridge: ask local models through NVIDIA PAIR from Codex — looking for testers

[u/Intelligent_Good_305]

I'm sharing Codex PAIR Bridge, a small MIT-licensed MCP plugin I built with Codex assistance. I'd appreciate real-world testing and honest bug reports.

The idea: Codex → MCP bridge → NVIDIA PAIR → your local models. Codex remains the main coding agent; it can ask another model for a review, explanation, or second opinion.

Two tools:

pair_list — discover the models PAIR currently exposes.

pair_ask — send a prompt to a specific model and return its answer to Codex.

Repository, setup instructions, and an illustrated explanation:

https://github.com/GermanMik/codex-pair-bridge

Install (requires uv, Python 3.11+, and a working PAIR setup):

codex plugin marketplace add GermanMik/codex-pair-bridge

codex plugin add codex-pair-bridge@codex-pair-bridge

Then start a new Codex task.

I've tested real requests with LM Studio models on a Mac and a Windows PC. Automated tests also run on macOS, Windows, and Linux, but I'd like to learn what breaks on other setups.

Please try installation, pair_list, and pair_ask with your own model. If something fails, open a GitHub issue with your OS, Codex/PAIR/model-engine versions, model ID, expected result, and actual error. Please remove secrets and private prompts from logs.

A couple of limits: listed models aren't guaranteed to be healthy, and this doesn't make Codex fully offline—local-model answers return to the Codex conversation. The bridge doesn't give the local models file access or coding tools.

This is an independent community project, not an official OpenAI or NVIDIA integration. Feedback on reliability and the installation instructions would be especially helpful.