- @AutoGen.Core.RoundRobinGroupChat is a group chat that invokes agents in a round-robin order. It's useful when you want to call multiple agents in a fixed sequence. For example, asking search agent to retrieve related information followed by a summarization agent to summarize the information. Beside, it also used by @AutoGen.Core.AgentExtension.SendAsync(AutoGen.Core.IAgent,AutoGen.Core.IAgent,System.String,System.Collections.Generic.IEnumerable{AutoGen.Core.IMessage},System.Int32,System.Threading.CancellationToken) in two agent chat.
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- ### Use @AutoGen.Core.RoundRobinGroupChat to implement a search-summarize chat flow
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- ```mermaid
- flowchart LR
- A[User] -->|Ask a question| B[Search Agent]
- B -->|Retrieve information| C[Summarization Agent]
- C -->|Summarize result| A[User]
- ```
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- > [!NOTE]
- > Complete code can be found in [Example11_Sequential_GroupChat_Example](https://github.com/microsoft/autogen/blob/dotnet/dotnet/samples/AgentChat/Autogen.Basic.Sample/Example11_Sequential_GroupChat_Example.cs);
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- Step 1: Add required using statements
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- [!code-csharp[](../../samples/AgentChat/Autogen.Basic.Sample/Example11_Sequential_GroupChat_Example.cs?name=using_statement)]
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- Step 2: Create a `bingSearch` agent using @AutoGen.SemanticKernel.SemanticKernelAgent
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- [!code-csharp[](../../samples/AgentChat/Autogen.Basic.Sample/Example11_Sequential_GroupChat_Example.cs?name=CreateBingSearchAgent)]
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- Step 3: Create a `summarization` agent using @AutoGen.SemanticKernel.SemanticKernelAgent
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- [!code-csharp[](../../samples/AgentChat/Autogen.Basic.Sample/Example11_Sequential_GroupChat_Example.cs?name=CreateSummarizerAgent)]
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- Step 4: Create a @AutoGen.Core.RoundRobinGroupChat and add `bingSearch` and `summarization` agents to it
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- [!code-csharp[](../../samples/AgentChat/Autogen.Basic.Sample/Example11_Sequential_GroupChat_Example.cs?name=Sequential_GroupChat_Example)]
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- Output:
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