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0086d38f58
* 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>
84 lines
3.3 KiB
C#
84 lines
3.3 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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using Microsoft.Agents.AI.Workflows;
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namespace WorkflowHumanInTheLoopBasicSample;
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/// <summary>
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/// This sample introduces the concept of RequestPort and ExternalRequest to enable
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/// human-in-the-loop interaction scenarios.
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/// A request port can be used as if it were an executor in the workflow graph. Upon receiving
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/// a message, the request port generates an RequestInfoEvent that gets emitted to the external world.
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/// The external world can then respond to the request by sending an ExternalResponse back to
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/// the workflow.
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/// The sample implements a simple number guessing game where the external user tries to guess
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/// a pre-defined target number. The workflow consists of a single JudgeExecutor that judges
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/// the user's guesses and provides feedback.
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/// </summary>
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/// <remarks>
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/// Pre-requisites:
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/// - Foundational samples should be completed first.
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/// </remarks>
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public static class Program
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{
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private static async Task Main()
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{
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// Create the workflow
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var workflow = WorkflowFactory.BuildWorkflow();
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// Execute the workflow
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await using StreamingRun handle = await InProcessExecution.RunStreamingAsync(workflow, NumberSignal.Init);
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await foreach (WorkflowEvent evt in handle.WatchStreamAsync())
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{
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switch (evt)
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{
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case RequestInfoEvent requestInputEvt:
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// Handle `RequestInfoEvent` from the workflow
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ExternalResponse response = HandleExternalRequest(requestInputEvt.Request);
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await handle.SendResponseAsync(response);
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break;
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case WorkflowOutputEvent outputEvt:
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// The workflow has yielded output
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Console.WriteLine($"Workflow completed with result: {outputEvt.Data}");
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return;
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}
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}
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}
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private static ExternalResponse HandleExternalRequest(ExternalRequest request)
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{
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if (request.TryGetDataAs<NumberSignal>(out var signal))
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{
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switch (signal)
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{
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case NumberSignal.Init:
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int initialGuess = ReadIntegerFromConsole("Please provide your initial guess: ");
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return request.CreateResponse(initialGuess);
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case NumberSignal.Above:
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int lowerGuess = ReadIntegerFromConsole("You previously guessed too large. Please provide a new guess: ");
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return request.CreateResponse(lowerGuess);
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case NumberSignal.Below:
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int higherGuess = ReadIntegerFromConsole("You previously guessed too small. Please provide a new guess: ");
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return request.CreateResponse(higherGuess);
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}
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}
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throw new NotSupportedException($"Request {request.PortInfo.RequestType} is not supported");
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}
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private static int ReadIntegerFromConsole(string prompt)
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{
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while (true)
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{
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Console.Write(prompt);
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string? input = Console.ReadLine();
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if (int.TryParse(input, out int value))
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{
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return value;
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}
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Console.WriteLine("Invalid input. Please enter a valid integer.");
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}
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}
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}
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