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## Why are these changes needed? 1. problem When the GraphFlowManager encounters cycles, it tracks remaining indegree counts for the node's activation. However, this tracking mechanism has a flaw when dealing with cycles. When a node first enters a cycle, the GraphFlowManager evaluates all remaining incoming edges, including those that loop back to the origin node. If the activation prerequisites are not satisfied at that moment, the workflow will eventually finish because the _remaining counter never reaches zero, preventing the select_speaker() method from selecting any agents for execution. 2. solution change activation map to 2 layer for ditinguish remaining inside different cycle and outside the cycle. add a activation group and policy property for edge, compute the remaining map when GraphFlowManager is init and check the remaining map with activation group to avoid checking the loop back edges <!-- Please give a short summary of the change and the problem this solves. --> ## Related issue number #6710 ## Checks - [x] I've included any doc changes needed for <https://microsoft.github.io/autogen/>. See <https://github.com/microsoft/autogen/blob/main/CONTRIBUTING.md> to build and test documentation locally. - [x] I've added tests (if relevant) corresponding to the changes introduced in this PR. - [x] I've made sure all auto checks have passed.
AutoGen Core
AutoGen core offers an easy way to quickly build event-driven, distributed, scalable, resilient AI agent systems. Agents are developed by using the Actor model. You can build and run your agent system locally and easily move to a distributed system in the cloud when you are ready.