Task decomposition methodology
For a complex task such as travel planning for Yunnan, the following workflow is recommended:
- Agent Role Definition::
Clarify the need for 6 types of agents: mission planning agent (Planner), web crawler agent, browser manipulation agent, report writing agent, file manipulation agent and code execution agent (for route optimization calculations) - Workflow Execution Commands::
python cli.py run -t agent_workflow -u travel -m '使用上述代理规划2025五一云南行程：先爬取景点信息，筛选Top10景点，设计5天行程，生成PDF报告' - Automated collaboration mechanisms::
- Planner automatically generates DAG task flow charts
- Delivering Attractions Data JSON via MCP Protocol
- Browser Proxy Simulates User Filtering Behavior
Exception Handling Recommendations::
- Setting up a failure retry mechanism for crawler agents
- Configure backup agents to handle unexpected demands (e.g. weather queries)
- pass (a bill or inspection etc)
edit-agentAdjust the timeout parameter for each agent
This answer comes from the articleCooragent: building a multi-intelligence task collaboration tool in one sentenceThe
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