Speeding up bfcl requirements installation

[Kipok]

Summary by CodeRabbit

• Chores
  • Updated package dependencies: constrained huggingface_hub to version <1 and disabled optional packages to improve compatibility.

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[greptile-apps]

Important Files Changed

Filename	Overview
nemo_skills/inference/eval/bfcl.py	Modified BFCL_REQUIREMENTS list to disable sentence-transformers and pin huggingface_hub version

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[coderabbitai]

📝 Walkthrough

Walkthrough

Updated the BFCL_REQUIREMENTS constant in nemo_skills/inference/eval/bfcl.py by pinning "huggingface_hub" to versions <1, removing "qwen-agent" and "sentence-transformers>=2.7.0" from active requirements (now commented), and adding inline explanatory comments.

Changes

Cohort / File(s)	Summary
Dependency constraints update nemo_skills/inference/eval/bfcl.py	Modified BFCL_REQUIREMENTS: replace "huggingface_hub" with "huggingface_hub<1"; comment out "qwen-agent" and "sentence-transformers>=2.7.0"; added inline comments. Review for any code paths relying on the removed packages.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title accurately reflects the main change: modifying BFCL_REQUIREMENTS to speed up installation by pinning huggingface_hub to a lower version and removing/disabling optional dependencies.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

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✨ Finishing touches

• 📝 Generate docstrings

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[gwarmstrong]

Looks okay in principle, but let's run it with the integration tests?

[greptile-apps]

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[Kipok]

I also ran slurm tests (rebasing on the #1192 to fix bfcl) and both gpu and slurm tests work fine

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