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Updated 7-Day SAA Implementation Roadmap

Day 1: SAAs Workers Integration ✅

  • Implement SAAsWorkers class in a new file src/workers.py
  • Add asynchronous execution capabilities for parallel processing
  • Integrate SAAsWorkers with the existing Orchestrator class

Day 2: Enhance Main Assistant and Prompts ✅

  • Improve the _generate_main_prompt method in src/orchestrator.py for better task breakdown
  • Implement logic for the MAIN_ASSISTANT to handle tasks without subtask decomposition
  • Enhance prompt writing capabilities for SUB_ASSISTANT tasks

Day 3: Implement Parallel Research Use Case ✅

  • Develop a parallel research system in /src/plugins/comparative_analysis.py
  • Refine the create_assistant function to accept adding new necessary tools for web scraping and data processing
  • Write the prompt system that will instruct the MAIN_ASSISTANT to run a deep research objective

Day 4: CLI Enhancements and Plugin System ✅

  • Extend the CLI in src/main.py to support new SAAsWorkers functionality
  • Implement a plugin system using pluggy for extending use cases
  • Create commands for custom prompts and plugin selection

Day 5: Testing and Error Handling ✅

  • Update existing tests in tests/test_orchestrator.py for new functionality
  • Add new tests for SAAsWorkers in tests/test_workers.py
  • Create tests for the plugin system and CLI in tests/test_plugins_and_custom_commands.py and tests/test_main.py
  • Enhance error handling and logging throughout the project

Day 6: Documentation and Examples (In Progress)

  • Update the README.md with new features and usage instructions
  • Create example scripts for using plugins and custom prompts
  • Document the SAAsWorkers implementation and integration
  • Add documentation for the plugin system and how to create new plugins

Day 7: Optimization and Final Testing

  • Optimize parallel execution in SAAsWorkers
  • Conduct end-to-end testing of the entire system
  • Address any remaining bugs or issues
  • Prepare for deployment (if applicable)

Backlog (Future Development)

  1. Implement additional use cases as plugins (e.g., content creation, autocomplete)
  2. Enhance the configuration management system
  3. Implement a full-featured FastAPI-based API
  4. Develop strategies for handling larger workloads and scaling
  5. Integrate additional Phidata tools and features
  6. Implement long-term memory and knowledge base systems
  7. Create a more advanced UI with data visualization capabilities
  8. Implement a caching system for frequently used prompts or responses
  9. Add support for more LLM providers
  10. Develop a system for chaining multiple plugins or use cases
  11. Implement a feedback loop for continuous improvement of assistant responses