# 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.