ruler docs #221
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ruler docs #221
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corbt
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arcticfly
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Jul 11, 2025
docs/fundamentals/ruler.mdx
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| # Use RULER to score them | ||
| judged_group = await ruler_score_group( | ||
| group, | ||
| {"model": "openai/o3"}, |
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Why nest model in a dictionary, instead of making it a top-level parameter?
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lets us customize other litellm params, which is useful for eg. using a local model with a specific api endpoint.
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that said, model is frequently going to be the only thing you need to customize. I'll make that its own explicit argument and have a separate one for additional litellm params.
arcticfly
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Jul 11, 2025
docs/fundamentals/ruler.mdx
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| if judged_group: # Check if judging succeeded | ||
| for traj in judged_group.trajectories: | ||
| print(f"Reward: {traj.reward}") | ||
| print(f"RULER explanation: {traj.metrics['ruler_score']}") |
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Isn't metrics usually composed of numerical values, as opposed to string explanations? Did you mean to reference a field in metadata?
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ah good catch, fixed.
adding to the docs
…litellm_params - Changed ruler() and ruler_score_group() to accept separate judge_model (str) and extra_litellm_params (dict) parameters - Updated all call sites to use the new signature - Updated documentation with new parameter structure and examples - Removed backward compatibility as this is a new feature 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
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adding to the docs