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…nOptimizer - Define `system_role` based on model type for user prompts. - Include contextual messages before user inputs to improve interaction flow. - Update kwargs for completion creation to include necessary parameters conditionally.
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This pull request includes updates to the
zenbaseproject, focusing on version updates, optimization of language model functions, and cleanup of test files.Version update:
py/pyproject.toml: Updated project version from0.0.20to0.0.22.Optimization of language model functions:
py/src/zenbase/predefined/generic_lm_function/optimizer.py: Introduced asystem_rolevariable to dynamically set the role based on the model prefix and refactored message creation logic in multiple functions to use this variable. Additionally, optimized the creation ofkwargsfor thechat.completions.createmethod by conditionally addinglogprobsandtop_logprobsonly when the model does not start with "o1". [1] [2] [3]Cleanup of test files:
py/tests/adaptors/test_lunary.py: Removed unused imports and a large block of commented-out code related to testing thelunaryadapter. [1] [2] [3]