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33 lines
1.9 KiB
Markdown
33 lines
1.9 KiB
Markdown
@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
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flowchart LR
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A[User] -->|Ask a question| B[Search Agent]
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B -->|Retrieve information| C[Summarization Agent]
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C -->|Summarize result| A[User]
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```
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> [!NOTE]
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> Complete code can be found in [Example11_Sequential_GroupChat_Example](https://github.com/microsoft/autogen/blob/dotnet/dotnet/samples/AutoGen.BasicSamples/Example11_Sequential_GroupChat_Example.cs);
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Step 1: Add required using statements
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[!code-csharp[](../../samples/AutoGen.BasicSamples/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/AutoGen.BasicSamples/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/AutoGen.BasicSamples/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/AutoGen.BasicSamples/Example11_Sequential_GroupChat_Example.cs?name=Sequential_GroupChat_Example)]
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Output:
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