Functional extension pathways
MassGen provides a multi-tiered development interface:
- Tool registration mechanism: Add new tools to massgen/tools.py and the smart body will automatically recognize and call these functions
- model integration: Developers can register new big model access interfaces in utils.py
- Process Customization: Adjusting the intelligence collaboration strategy by modifying agent_workflow.py
Typical development cases
Take adding the Wikipedia search tool as an example:
- Define it in tools.py
@toolDecorated functions - Write specific search logic and processing code
- Add a tool description document that describes the input and output formats
- The tool will be automatically included in the next system startup
Extended Recommendations
Community recommended practices include:
- Prioritize development of atomicity tools (single function)
- Ensure that tool functions have well-developed error handling
- Write clear usage examples for each tool
- Contribute code to the main project via GitHub Pull Request
The current system architecture supports hot loading of new tools to take effect without restarting the service.
This answer comes from the articleMassGen: A Multi-Intelligence Collaborative Task Processing SystemThe
May not be reproduced without permission:AI productivity tools " How to extend the functionality of MassGen? What custom development does the system support?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil