Clarify LLMS_AVAILABLE vs. full model set in benchmarks docs#1061
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Users were misreading `LLMS_AVAILABLE` in the generated `.env` as a hard limit on which models their Model Proxy token can access. Add short notes to the `kaggle benchmarks init` sections (and the Local Iteration Loop in the skill reference) explaining that it's a curated local subset, and that `kaggle b t models` / `kaggle b t run` expose the full model catalog on Kaggle's infrastructure. Co-authored-by: kaggle-agent <kaggle-agent@users.noreply.github.com>
dolaameng
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Jun 12, 2026
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stevemessick
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Jun 12, 2026
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I'll add this to 2.2.2.
nl917
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Jun 12, 2026
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Users were misreading
LLMS_AVAILABLEin the generated.envas a hardlimit on which models their Model Proxy token can access (see issue
#1059). Add short notes to the
kaggle benchmarks initsections, andto the Local Iteration Loop in the skill reference, explaining that
it's a curated local subset and that
kaggle b t models/kaggle b t runexpose the full model catalog on Kaggle's infrastructure.Fixes #1059
Task: limagoog-20260612163257-ae1407dd
Context: https://chat.kaggle.net/kaggle/pl/yspw6y6smtgfjydrs5zn8he1ba