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.NET: [BREAKING] Workflows API Review Naming Changes (Part 1?) (#4090)

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* refactor: Normalize Run/RunStreaming with AIAgent

* refactor: Clarify Session vs. Run -level concepts

* Rename RunId to SessionId to better match Run/Session terminology in AIAgent
* [BREAKING]: Will break existing checkpointed sessions in CosmosDb due to field rename

* refactor: Rename and simplify interface around getting typed data out of ExternalRequest/Response

* Also adds hints around using value types in PortableValue

* refactor: Rename AddFanInEdge to AddFanInBarrierEdge

This will prevent a breaking change later when we introduce a programmable FanIn edge, analogous to the FanOut edge's EdgeSelector.

The goal, in the long run is to support a number of different FanIn scenarios, with naive FanIn (no barrier) by default, similar to FanOut.

* refactor: AsAgent(this Workflow, ...) => AsAIAgent(...)

* misc - part1: SwitchBuilder internal

---------

Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
This commit is contained in:
Jacob Alber
2026-02-19 21:05:18 -05:00
committed by GitHub
Unverified
parent 5fd260e11d
commit 0086d38f58
93 changed files with 397 additions and 458 deletions
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dotnet/samples/GettingStarted/Workflows/Concurrent/Concurrent/Program.cs
+3 -6
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@@ -34,10 +34,7 @@ public static class Program
// 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";
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
var chatClient = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential()).GetChatClient(deploymentName).AsIChatClient();
var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
// Create the executors
ChatClientAgent physicist = new(
@@ -56,12 +53,12 @@ public static class Program
// Build the workflow by adding executors and connecting them
var workflow = new WorkflowBuilder(startExecutor)
.AddFanOutEdge(startExecutor, [physicist, chemist])
.AddFanInEdge([physicist, chemist], aggregationExecutor)
.AddFanInBarrierEdge([physicist, chemist], aggregationExecutor)
.WithOutputFrom(aggregationExecutor)
.Build();
// Execute the workflow in streaming mode
await using StreamingRun run = await InProcessExecution.StreamAsync(workflow, input: "What is temperature?");
await using StreamingRun run = await InProcessExecution.RunStreamingAsync(workflow, input: "What is temperature?");
await foreach (WorkflowEvent evt in run.WatchStreamAsync())
{
if (evt is WorkflowOutputEvent output)