mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
91c66f8a2c
* add sample demonstrating the use of agents in workflows * Update dotnet/samples/Catalog/AgentsInWorkflows/README.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * use type instead of var --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
49 lines
2.1 KiB
C#
49 lines
2.1 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
|
|
|
|
// This sample demonstrates how to integrate AI agents into a workflow pipeline.
|
|
// Three translation agents are connected sequentially to create a translation chain:
|
|
// English → French → Spanish → English, showing how agents can be composed as workflow executors.
|
|
|
|
using Azure.AI.OpenAI;
|
|
using Azure.Identity;
|
|
using Microsoft.Agents.AI;
|
|
using Microsoft.Agents.AI.Workflows;
|
|
using Microsoft.Extensions.AI;
|
|
|
|
// Set up the Azure OpenAI client
|
|
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
|
|
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
|
|
|
|
IChatClient chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
|
|
.GetChatClient(deploymentName)
|
|
.AsIChatClient();
|
|
|
|
// Create agents
|
|
AIAgent frenchAgent = GetTranslationAgent("French", chatClient);
|
|
AIAgent spanishAgent = GetTranslationAgent("Spanish", chatClient);
|
|
AIAgent englishAgent = GetTranslationAgent("English", chatClient);
|
|
|
|
// Build the workflow by adding executors and connecting them
|
|
Workflow workflow = new WorkflowBuilder(frenchAgent)
|
|
.AddEdge(frenchAgent, spanishAgent)
|
|
.AddEdge(spanishAgent, englishAgent)
|
|
.Build();
|
|
|
|
// Execute the workflow
|
|
await using StreamingRun run = await InProcessExecution.StreamAsync(workflow, new ChatMessage(ChatRole.User, "Hello World!"));
|
|
|
|
// Must send the turn token to trigger the agents.
|
|
// The agents are wrapped as executors. When they receive messages,
|
|
// they will cache the messages and only start processing when they receive a TurnToken.
|
|
await run.TrySendMessageAsync(new TurnToken(emitEvents: true));
|
|
await foreach (WorkflowEvent evt in run.WatchStreamAsync())
|
|
{
|
|
if (evt is AgentRunUpdateEvent executorComplete)
|
|
{
|
|
Console.WriteLine($"{executorComplete.ExecutorId}: {executorComplete.Data}");
|
|
}
|
|
}
|
|
|
|
static ChatClientAgent GetTranslationAgent(string targetLanguage, IChatClient chatClient) =>
|
|
new(chatClient, $"You are a translation assistant that translates the provided text to {targetLanguage}.");
|