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minor tweaks

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This commit is contained in:
Shyju Krishnankutty
2026-01-23 10:16:31 -08:00
Unverified
parent 859ac0939d
commit 52da946efd
5 changed files with 63 additions and 25 deletions
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dotnet/samples/GettingStarted/Workflows/Visualization/Program.cs
+53 -8
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@@ -1,6 +1,11 @@
// Copyright (c) Microsoft. All rights reserved.
using Azure;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Workflows;
using OpenAI.Chat;
namespace WorkflowVisualizationSample;
@@ -20,8 +25,29 @@ internal static class Program
/// <param name="args">Command line arguments (not used).</param>
private static void Main(string[] args)
{
// Step 1: Build the workflow you want to visualize
Workflow workflow = WorkflowMapReduceSample.Program.BuildWorkflow();
// Get the Azure OpenAI endpoint and deployment name from environment variables.
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
: new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
AIAgent physicist = client.GetChatClient(deploymentName).CreateAIAgent("You are an expert in physics. You answer questions from a physics perspective.", "Physicist");
AIAgent chemist = client.GetChatClient(deploymentName).CreateAIAgent("You are an expert in chemistry. You answer questions from a chemistry perspective.", "Chemist");
var startExecutor = new PrepareQuery();
var aggregationExecutor = new ResultAggregator();
var workflow = new WorkflowBuilder(startExecutor)
.WithName("ExpertReview")
.AddFanOutEdge(startExecutor, [physicist, chemist])
.AddFanInEdge([physicist, chemist], aggregationExecutor)
.Build();
// Step 2: Generate and display workflow visualization
Console.WriteLine("Generating workflow visualization...");
@@ -31,11 +57,30 @@ internal static class Program
var mermaid = workflow.ToMermaidString();
Console.WriteLine(mermaid);
Console.WriteLine("=======");
// DOT
Console.WriteLine("DiGraph string: *** Tip: To export DOT as an image, install Graphviz and pipe the DOT output to 'dot -Tsvg', 'dot -Tpng', etc. *** \n=======");
var dotString = workflow.ToDotString();
Console.WriteLine(dotString);
Console.WriteLine("=======");
}
}
internal sealed class PrepareQuery() : Executor<string, string>("PrepareQuery")
{
public override ValueTask<string> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// do some initial parsing and validation of the message.
// Return a polished version ith additional metadta.
if (!message.StartsWith("Query for the agent:", StringComparison.OrdinalIgnoreCase))
{
message = "Query for the agent: " + message;
}
return ValueTask.FromResult(message);
}
}
internal sealed class ResultAggregator() : Executor<string[], string>("ResultAggregator")
{
public override ValueTask<string> HandleAsync(string[] message, IWorkflowContext context, CancellationToken cancellationToken = default)
{
// Aggregate all responses from parallel executors.
string aggregatedResponse = string.Join("\n---\n", message);
return ValueTask.FromResult($"Aggregated {message.Length} responses:\n{aggregatedResponse}");
}
}