vllm-omni/docs/design/api_design_doc.md

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

   # 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 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.