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Chad Voegele
28dc117594
### What does this PR do? Type of change: new feature Adding sub-agent definition for Day 0 workflows. I'm adding subagents as an alternative, while we evaluate which is better. They are duplicated because Claude & Codex have different formats & different locations. Deriving from a shared vendor-neutral format at build-time is too complicated. ### Usage Tell your agent "Use the modelopt_model_quantizer agent to quantize the model" ### Testing Ran a trial using Qwen-2.5, Muse Glimmer, Qwen-2.8, and GLM-5.3-Flash. ### Before your PR is "*Ready for review*" Make sure you read and follow [Contributor guidelines](https://github.com/NVIDIA/Model-Optimizer/blob/main/CONTRIBUTING.md) and your commits are signed (`git commit -s -S`). Make sure you read and follow the [Security Best Practices](https://github.com/NVIDIA/Model-Optimizer/blob/main/SECURITY.md#security-coding-practices-for-contributors) (e.g. avoiding hardcoded `trust_remote_code=True`, `torch.load(..., weights_only=False)`, `pickle`, etc.). - Is this change backward compatible?: ✅ - If you copied code from any other sources or added a new PIP dependency, did you follow guidance in `CONTRIBUTING.md`: ✅ - Did you write any new necessary tests?: ✅ - Did you update [Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?: ✅ / ❌ / N/A <!--- Only for new features, API changes, critical bug fixes or backward incompatible changes. --> - Did you get Claude approval on this PR?: ✅ / ❌ / N/A <!--- Run `/claude review`. NVIDIA org members can self-trigger for complex changes; orthogonal to CodeRabbit. --> ### Additional Information See design doc. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit ## New Features - Added specialized Model Optimizer agents for downloading, quantization, recipe search, evaluation, deployment, and performance benchmarking. - Added coordinated Codex and Claude Code access with validation requirements, artifact preservation, and concise handoffs. - Improved skill discovery across plugin and repository installations. ## Documentation - Clarified agent discovery, layout, and canonical editing locations. - Updated configuration guidance for supported agent definitions. ## Tests - Added synchronization checks for agent definitions and links. - Improved test compatibility for Python versions below 3.11. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: Chad Voegele <cvoegele@nvidia.com>