Refactor Adala to a simpler tabular data processing API #361
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This refactoring simplifies the codebase to focus on direct tabular data processing through LLMs in batch mode: - Created a new core API with minimal abstraction layers - Added DataTable class as a lightweight wrapper around pandas DataFrame - Implemented BatchLLMRuntime for efficient batch processing - Created DataProcessor and specialized Classifier - Ported LabelStudioSkill to LabelStudioProcessor - Added migration guide and examples - Moved original components to legacy package with deprecation warnings 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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This refactoring simplifies the codebase to focus on direct tabular data processing through LLMs in batch mode: