# AbstractLLM Development Plan

This document outlines the step-by-step process for implementing the AbstractLLM package using an LLM-assisted development approach.

## Phase 1: Package Setup (Day 1)

1. **Create Repository Structure**
   - Create GitHub repository
   - Initialize package directory structure
   - Set up `.gitignore` for Python

2. **Configure Environment**
   - Create virtual environment
   - Set up development dependencies
   - Configure linting (flake8/black)

3. **Create Package Metadata**
   - Write `setup.py`
   - Create `requirements.txt`
   - Write initial `README.md`
   - Add license file

## Phase 2: Core Implementation (Day 1-2)

1. **Implement Core Interface**
   - Create `abstractllm/interface.py`
   - Implement abstract base class

2. **Implement Factory**
   - Create `abstractllm/factory.py`
   - Implement provider registration system

3. **Develop Logging Utilities**
   - Create `abstractllm/utils/logging.py`
   - Implement logging functions

4. **Write Package Initialization**
   - Create `abstractllm/__init__.py`
   - Export primary interfaces

## Phase 3: Provider Implementations (Day 2-3)

1. **OpenAI Provider**
   - Create `abstractllm/providers/openai.py`
   - Implement API integration
   - Handle system prompts

2. **Anthropic Provider**
   - Create `abstractllm/providers/anthropic.py`
   - Implement API integration
   - Handle system prompts

3. **Ollama Provider**
   - Create `abstractllm/providers/ollama.py`
   - Implement HTTP requests to Ollama API
   - Handle system prompts

4. **HuggingFace Provider**
   - Create `abstractllm/providers/huggingface.py`
   - Implement model loading and inference
   - Handle system prompts

5. **Provider Registry**
   - Create `abstractllm/providers/__init__.py`
   - Set up provider registration

## Phase 4: Testing (Day 3-4)

1. **Unit Tests**
   - Create test files for each module
   - Implement interface tests
   - Test each provider with mock responses

2. **Integration Tests**
   - Test with actual API calls (with API keys)
   - Verify proper error handling
   - Test configuration management

3. **Example Scripts**
   - Create examples for each provider
   - Create examples for advanced use cases

## Phase 5: Documentation (Day 4)

1. **API Documentation**
   - Document all classes and methods
   - Write usage examples for each method

2. **Usage Guide**
   - Write comprehensive usage guide
   - Include examples for common scenarios

3. **Provider-Specific Documentation**
   - Document provider-specific features
   - Explain provider limitations

## Phase 6: Packaging and Release (Day 5)

1. **Package Preparation**
   - Update version
   - Verify package structure
   - Check dependencies

2. **PyPI Release**
   - Build package
   - Upload to PyPI
   - Verify installation

3. **Documentation Release**
   - Finalize documentation
   - Update GitHub README

## Recommended Development Workflow with LLM

When using an LLM (like Claude or GitHub Copilot) to assist with development:

1. **Start with structure**
   - Have the LLM generate the package structure and skeleton files
   - Review and adjust the structure as needed

2. **Implement core components first**
   - Focus on the abstract interface before provider implementations
   - This ensures a consistent API across providers

3. **Develop incrementally**
   - Implement and test one provider at a time
   - This reduces complexity and makes debugging easier

4. **Review regularly**
   - Periodically review the code for consistency and best practices
   - Check that all providers follow the same patterns

5. **Focus on error handling**
   - Pay special attention to error handling
   - LLMs may miss edge cases, so review error handling carefully

6. **Test with real APIs**
   - LLM-generated code for API interactions might need adjustments
   - Test with actual API keys to verify functionality

## Implementation Tips

1. **Keep files manageable**
   - Aim for files under 300 lines of code
   - This makes LLM-assisted coding more effective

2. **Document as you go**
   - Include docstrings with each implementation
   - This helps the LLM understand the code structure for future tasks

3. **Handle dependencies carefully**
   - Use optional dependencies for provider-specific packages
   - Check for imports in try/except blocks

4. **Standardize error handling**
   - Define clear error patterns across providers
   - Convert provider-specific errors to standard exceptions

5. **Start simple, add features later**
   - Begin with basic functionality
   - Add advanced features (streaming, function calling) in later versions