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Summary

This PR adds comprehensive LLM-friendly API documentation to the Plexe library in the form of an LLM.md file. This documentation provides developers with a single, structured reference for understanding and using all aspects of the Plexe library.

Changes

  • Added LLM.md: Complete API documentation optimized for LLM consumption
  • Comprehensive coverage: All public classes, methods, and functions
  • Structured format: Clear sections for installation, quick start, API reference, and advanced usage
  • Practical examples: Code snippets demonstrating real-world usage patterns
  • Configuration guide: Complete coverage of configuration options and provider support

Documentation Contents

Core API Coverage

  • Model class with all methods and attributes
  • ModelBuilder class (recommended approach)
  • DatasetGenerator for synthetic data generation
  • File I/O operations (save_model, load_model)
  • Checkpoint management functions
  • Callback system (Callback, MLFlowCallback, ModelCheckpointCallback)
  • Configuration options and settings

Features Documented

  • Installation with optional dependencies
  • Quick start examples
  • Provider support (OpenAI, Anthropic, Ollama, Hugging Face)
  • Distributed training with Ray
  • Custom schemas with Pydantic
  • Advanced usage patterns
  • Error handling and best practices

Benefits

  1. Developer Experience: Single reference file for all API functionality
  2. LLM Optimization: Structured format ideal for AI-assisted development
  3. Comprehensive: Covers all user-facing functionality
  4. Practical: Includes working examples and usage patterns
  5. Maintainable: Clear structure for future updates

Testing

  • Verified all code examples are syntactically correct
  • Confirmed all documented classes and methods exist in the codebase
  • Validated installation instructions and import statements

Note: A developer on Askdev.AI requested this update to improve the developer experience when working with the Plexe library.

Add comprehensive LLM.md file containing:
- Complete API reference for all public classes and methods
- Installation instructions with optional dependencies
- Quick start examples and usage patterns
- Configuration options and provider support
- Advanced features like distributed training and callbacks
- Structured documentation optimized for LLM consumption

This documentation provides developers with a single reference
file for understanding and using the Plexe library effectively.
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