A distinguishing feature of CoAgents is its powerful error recovery and adaptive mechanism. When an error is returned by an execution agent invoking a tool or API, the observing agent analyzes the error feedback and the system automatically adjusts the request parameters or execution strategy based on this information. This iterative learning process enables the intelligences to continuously optimize the way the tools are used, and eventually develop the correct method of operation. This capability allows CoAgents to go beyond simply executing predefined processes and to truly adapt to the characteristics and usage scenarios of different tools, exhibiting a human-like learning curve.
This answer comes from the articleCoAgents: a framework for learning to use tools through multi-intelligence collaborationThe
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