The tool provides two main core collaboration modes to address the needs of smart body management in different scenarios:
- router mode::
- Automatically routes to the most compatible specialized agent based on message content
- For clear task categorization scenarios
- For example, targeting math problems to expert math agents
- coordinator mode::
- Supervisory agents actively control the order in which tasks are executed
- Ideal for complex tasks requiring multi-step collaboration
- For example, call the search agent first to get the data and then pass it to the computation agent
Both models support instrumented handoff mechanisms, including:
- Implementation Context Passing
- Results feedback loop
- Exception Handling Process
This answer comes from the articleLangGraph Supervisor: a tool for managing multi-intelligence collaboration using supervising intelligencesThe
May not be reproduced without permission:AI productivity tools " What are the core operating modes supported by LangGraph Supervisor?
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