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vllm-omni/docs/contributing/design_documents/api_design_doc.md
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# API Design Documentation
This document contains comprehensive API design documentation for all core modules in vLLM-omni. These templates provide a standardized structure for designing and implementing the core, engine, executor, and worker modules.
## 📋 Module API
### Core Module API
**Core module** provides fundamental scheduling, caching, and resource management functionality.
**Key Components:**
- Request scheduling and prioritization
- DiT cache management for diffusion models
- Resource allocation and coordination
- Inter-module communication
### Engine Module API
**Engine module** handles model loading, inference execution, and output processing.
**Key Components:**
- Model loading and initialization
- Inference execution for AR and diffusion models
- Input preprocessing for various modalities
- Output postprocessing and formatting
### Executor Module API
**Executor module** coordinates and manages request execution across different engines and workers.
**Key Components:**
- Request routing and load balancing
- Execution pipeline coordination
- Worker management and task distribution
- Error handling and recovery
### Worker Module API
**Worker module** provides the actual execution environment for model inference.
**Key Components:**
- Model execution and inference
- GPU resource management
- Request batching and processing
- Performance optimization
## 🔧 Implementation Guidelines
### Code Standards
- Use type hints for all methods
- Include comprehensive docstrings
- Follow PEP 8 style guidelines
- Use async/await for I/O operations
### Error Handling
- Define specific exception types
- Provide meaningful error messages
- Include error recovery strategies
- Log errors appropriately
### Configuration
- Use dataclasses for configuration
- Provide sensible defaults
- Include validation methods
- Support environment variables
### Testing
- Write unit tests for all public methods
- Include integration tests
- Test error conditions
- Validate configuration options
## 🚀 Getting Started
### For Developers
1. **Choose a Module**
- Pick the module you want to work on
- Read the corresponding API documentation
- Understand the responsibilities and interfaces
2. **Set Up Development Environment**
```bash
# Clone the repository
git clone https://github.com/vllm-project/vllm-omni.git
cd vllm-omni
# Install dependencies
pip install -e ".[dev]"
# Set up pre-commit hooks
pre-commit install
```
3. **Start Implementation**
- Create the module directory
- Implement base classes first
- Add concrete implementations
- Write tests as you go
### For Contributors
1. **Review API Documentation**
- Read through all module APIs
- Understand the overall architecture
- Identify areas for improvement
2. **Propose Changes**
- Create issues for API changes
- Discuss in pull requests
- Update documentation accordingly
3. **Submit Contributions**
- Follow the coding standards
- Include tests for new features
- Update documentation
- Submit pull requests
## 🤝 Contributing
We welcome contributions to improve the API documentation and implementation. Please:
1. **Follow the Template Structure**
- Use the [api template](https://github.com/vllm-project/vllm-omni/docs/contributing/design_documents/api_design_template.md) as a guide
- Maintain consistency across modules
- Include all required sections
2. **Provide Working Examples**
- Test all code examples
- Include both basic and advanced usage
- Show integration patterns
3. **Keep Documentation Updated**
- Update docs when APIs change
- Version control documentation changes
- Maintain backward compatibility notes
## 📝 Notes
- All API documentation should be kept up-to-date with implementation
- Code examples should be tested and working
- Configuration options should be validated
- Error handling should be comprehensive
- Performance considerations should be documented
For questions or suggestions about the API documentation, please open an issue or start a discussion in the repository.