Intelligent Collaboration Features Explained
OxyGent has the following technological highlights in intelligent body collaboration design:
Dynamic tasking mechanism
- The master_agent automatically breaks down complex tasks into subtasks.
- Support real-time negotiation and adaptation mechanisms between intelligences
- Example: When you enter "Analyze sales data and generate a report," the system automatically coordinates subtasks such as mathematical calculations and file operations.
Visual debugging capabilities
- furnish
http://localhost:port/debugdebugging interface - Visualization of the interaction topology between intelligences
- Real-time monitoring of task execution paths and dependencies
Auditability of decision-making
- Generation log with complete records for each decision step
- Traceback of task execution through the MAS monitoring interface
- Ensure that system behavior is interpretable and traceable
Continuous optimization of functionality
- Built-in evaluation engine automatically generates training data
- Supports continuous improvement of smart body performance through feedback loops
- Allow developers to manually adjust parameters (e.g. temperature) to optimize output quality
This answer comes from the articleOxyGent: Python open source framework for rapidly building intelligent systemsThe
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