Covariate Std Err with baselines

[recursix]

Description by Korbit AI

What change is being made?

Add new functionality for covariate standard error analysis with baselines in covariate_std_err.py, introduce new agent configurations and LLM settings, update environment variable documentation, adjust supported Python version, and extend the reproducibility journal. Also, include mock data for toy experiments under covariate_toy_experiment.

Why are these changes being made?

These changes enhance the analysis toolkit by providing methods for evaluating covariate effects on model performance. Incorporating new agents and LLM configurations improves adaptability for different LLM scenarios. Updating environment documentation provides clarity for users on configuration settings. Raising the required Python version aligns with newer dependencies, ensuring compatibility.

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[marcotet]

The aggregate_success method is imported and used in the notebook, but is not defined where it is being imported from: ImportError: cannot import name 'aggregate_success' from 'agentlab.analyze.covariate_std_err'