Automated report generation process
Sage breaks down report generation into standardized steps of data collection, analysis, and visualization through intelligent decomposition, with typical configurations including:
1. Preparation of basic tools
- Data access tools (e.g., database connectors)
- Analytical tools (e.g., pandas processing module)
- Visualization tools (e.g. matplotlib integration)
2. Workflow design
A visual editor with a web interface is recommended:
①Create the process of "Data Acquisition→Cleaning→Analysis→Chart Generation→Report Integration".
② Setting dependencies and parameters for each step
3. Implementation monitoring
- Control costs with token monitoring
- Handling exceptions using the real-time interrupt function
- Check out the Thought Bubble for implementation details.
Typical Command Example
controller.run_task('生成Q3销售分析报告', tools=['sql_connector','data_analyzer'])
This answer comes from the articleSage: An Intelligent Multi-Agent Task Decomposition and Collaboration FrameworkThe
May not be reproduced without permission:AI productivity tools " How to use Sage for automated report generation? What components need to be configured?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil